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Patent 3079552 Summary

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(12) Patent: (11) CA 3079552
(54) English Title: METHOD FOR RESTORING UNDERGROUND IMAGE ON BASIS OF RAY REVERSE TRACING TECHNOLOGY
(54) French Title: METHODE POUR RESTAURER UNE IMAGE ILLEGALE AU MOYEN DE LA TECHNOLOGIE PARTRACAGE DE RAYONS INVERSES
Status: Granted and Issued
Bibliographic Data
(51) International Patent Classification (IPC):
  • G06T 15/06 (2011.01)
(72) Inventors :
  • WANG, ZHONGBIN (China)
  • WU, YUE (China)
  • TAN, CHAO (China)
  • SI, LEI (China)
  • LU, XULIANG (China)
  • LIU, PENG (China)
  • ZHOU, HONGYA (China)
  • LIU, BOWEN (China)
  • WU, HONGLIN (China)
  • LI, XIAOYU (China)
(73) Owners :
  • XUZHOU GOLDFLUID HYDRAULIC TECHNOLOGY DEVELOPMENT CO., LTD.
  • CHINA UNIVERSITY OF MINING AND TECHNOLOGY
(71) Applicants :
  • XUZHOU GOLDFLUID HYDRAULIC TECHNOLOGY DEVELOPMENT CO., LTD. (China)
  • CHINA UNIVERSITY OF MINING AND TECHNOLOGY (China)
(74) Agent: JUNYI CHENCHEN, JUNYI
(74) Associate agent:
(45) Issued: 2021-03-16
(86) PCT Filing Date: 2019-06-18
(87) Open to Public Inspection: 2020-07-04
Examination requested: 2020-06-25
Availability of licence: N/A
Dedicated to the Public: N/A
(25) Language of filing: English

Patent Cooperation Treaty (PCT): Yes
(86) PCT Filing Number: PCT/CN2019/091631
(87) International Publication Number: WO 2020140397
(85) National Entry: 2020-04-27

(30) Application Priority Data:
Application No. Country/Territory Date
2019100067663 (China) 2019-01-04

Abstracts

English Abstract


A method for restoring an underground image based on a ray reverse tracing
technology is
disclosed. The method comprises: setting an underground camera as a light
source emitting point,
and emitting rays into an underground scene; recording all intersection points
of all rays and
underground objects, and calculating one intersection point closest to a view
point in the
intersection points; calculating a direction of rays newly generated after
they are reflected and
refracted by the objects in a position of the intersection point; respectively
tracing the rays newly
generated; recording rays irradiated onto a view plane after a strong light
source emitted from the
camera's position is reflected or refracted, and calculating the rays' light
intensity; converting the
light intensity into a pixel value; and eliminating the pixel value of strong
light emitted from the
camera to obtain the underground image.


French Abstract

L'invention concerne un procédé de restauration d'une image de fond de puits sur la base d'une technologie de lancer de rayon inversé, comprenant les étapes suivantes: régler une caméra de fond de puits en tant que point d'émission de source de lumière, et émettre des rayons de lumière vers une scène de fond de puits; enregistrer toutes les intersections entre tous les rayons de lumière et un objet de fond de puits, et calculer une intersection, parmi les intersections, qui est la plus proche d'un point de vue; calculer des directions de rayons lumineux nouvellement générés après que les rayons lumineux sont réfléchis et réfractés au niveau des intersections; tracer respectivement les rayons lumineux nouvellement générés; enregistrer les rayons lumineux, à partir d'une source de lumière forte émise au niveau de la caméra, irradiés sur un plan de visualisation après avoir été réfléchis ou réfractés pendant trois temps, et calculer des intensités lumineuses des rayons lumineux; convertir les intensités lumineuses en valeurs de pixels au moyen d'un élément de détection de lumière CCD de la caméra; et éliminer, dans une image finalement présentée dans le plan de visualisation, les valeurs de pixel de la forte lumière émise par la caméra pour obtenir une image pour laquelle l'effet de la source de lumière intense est éliminé. La présente invention peut éliminer efficacement l'interférence d'une source de lumière forte et restaurer une image de fond de puits, ce qui permet d'assurer un travail en douceur dans le fond de puits et la sécurité des opérateurs.

Claims

Note: Claims are shown in the official language in which they were submitted.


What is claimed is:
1. A method for restoring an underground image on the basis of a ray reverse
tracing technology,
comprising the following steps:
step 1: supposing an underground camera as a view point, and emitting rays
into an underground
scene;
step 2: recording all intersection points of all rays and underground objects,
and calculating one
intersection point closest to the view point in the intersection points;
step 3: according to illumination, object materials and a normal direction,
calculating light intensity
of reflection rays or refraction rays in the closest intersection point
determined in the step 2;
step 4: calculating a direction of rays newly generated after the rays are
reflected and refracted by
the objects in a position of the intersection point;
step 5: tracing the rays newly generated in the step 4, and judging whether a
third time reflection
or refraction rays are emitted onto a view plane right in front of a safety
mine lamp or not; if so,
calculating a third time reflection light intensity or refraction light
intensity; and otherwise,
returning to the step 2 to redetermine the closest intersection point, and
repeating the step 3 to the
step 5;
step 6: converting the light intensity in the step 5 into a pixel value
through a camera CCD
photosensitive element, emitting rays obtained after the third time reflection
or refraction of the
rays emitted from the camera onto the view plane, and performing imaging on
the view plane; and
step 7: eliminating the pixel value of strong light emitted from the camera in
an image finally
shown on the view plane to obtain an image after strong light source influence
elimination.
2. The method for restoring the underground image on the basis of the ray
reverse tracing
technology according to claim 1, wherein in the step 3, the light intensity of
the reflection rays or
refraction rays in the closest intersection point determined in the step 2 is
calculated according to
the following method:
calculating the light intensity of the reflection rays in the position of the
intersection point through
a formula (1):
11

I r = I.alpha.K.alpha. + l i(N .cndot. L)d~(K d R d + K s R s) (1)
wherein I r represents the light intensity of the reflection rays;
I.alpha.K.alpha. represents an influence value of
environment light in the position of the intersection point; I i represents
the light intensity of
incident light; K d represents a specular reflectivity coefficient; K s
represents a diffuse reflectivity
coefficient; R d represents specular reflectivity; R s represents diffuse
reflectivity; and /V, L and d~
respectively represent an object surface normal vector, a ray direction unit
vector and a solid angle;
or calculating the light intensity the refraction rays in the position of the
intersection point through
a formula (2):
I t = (cos .theta.2/cos .theta.1)(I i ¨ I r) (2)
wherein I t represents the light intensity of the refraction rays, and
.theta.1 and .theta.2 are an incidence angle
and a refraction angle.
3. The method for restoring the underground image on the basis of the ray
reverse tracing
technology according to claim 1 or 2, wherein in the step 5, the rays newly
generated in the step 4
are traced according to the following methods:
(1) if the rays do not intersect with any object, giving up the tracing; if
the intersection point is on
a nontransparent object, only calculating the light intensity of the
reflection rays; if the intersection
point is on a transparent object, calculating the light intensity of the
reflection rays and the light
intensity of the refraction rays, and tracing the rays obtained by reflecting
or refracting the initial
rays for three times; if the rays obtained by reflecting or refracting the
initial rays for three times
are emitted onto the view plane right in front of the safety mine lamp,
calculating the light intensity
of the rays; and if not, giving up the tracing, and entering the step (2); and
(2) if all reflection and refraction rays generated by the initial rays are
not emitted onto the view
plane right in front of the safety mine lamp, determining an intersection
point second closest to the
view point in the intersection points of the initial rays and the objects;
repeating the step (1); if the
second closest intersection point does not meet conditions, sequentially
calculating the next closest
intersection point until the intersection point found meets the conditions.
4. The method for restoring the underground image on the basis of the ray
reverse tracing
technology according to claim 1 or 2, wherein in the step 7, the pixel value
of the strong light
12

emitted from the camera is eliminated in the image finally shown on the view
plane to obtain the
image after the strong light source influence elimination according to the
following method:
when the third time reflection rays or refraction rays are irradiated onto the
view plane, the image
on the view plane is shown as the following formula:
P (x, y) = R(x, y) .cndot. S (x,y) .cndot. L(x, y) (3)
wherein P(x,y) represents the image finally shown on the view plane; R(x,y)
represents an image
shown on the view plane when the camera does not emit light; S(x,y) represents
an image on the
view plane when only the camera emits light; and L(x,y) represents an image of
the environment
light on the view plane:
I(x, y) = R (x, y) .cndot. S(x, y) (4) is set,
the logarithm is taken at both sides to obtain In P (x. Y) = ln 1(x. y) + In
L(x, -Y) (5),
and the environment light L(x,y) is shown as follows through P(x,y) and
Gaussian kernel
convolution of a Gaussian function G(x,y):
L(x, y) = P (x, y) * G (x, y) (6)
<IMG>
wherein
C represents a Gaussian surrounding scale, and .lambda. is one scale; through
the formulas (4), (5) and
(6), it can be obtained:
ln R(x, y) = In P (x, y) ¨ In(P (x, y) * G (x , y)) ¨ ln S(x, y)
wherein S' (x, y) = e lnR(x,y) is set,
and S'(x,y) is the image after the strong light source influence elimination.
13

Description

Note: Descriptions are shown in the official language in which they were submitted.


METHOD FOR RESTORING UNDERGROUND IMAGE ON
BASIS OF RAY REVERSE TRACING TECHNOLOGY
FIELD OF THE INVENTION
[0001] The present invention belongs to the field of underground image
restoration, and
particularly relates to a method for restoring an underground image on the
basis of a
ray reverse tracing technology.
DESCRIPTION OF RELATED ART
[0002] A ray tracing technology is a method for showing a three-dimensional
(3D)
image on a two-dimensional (2D) screen, is widely applied to games and
computer
graphics at present, and brings a more vivid effect to people. A light source
is supposed
as a point light source capable of randomly emitting tens of thousands of rays
to
surroundings, and those rays are reflected, refracted or absorbed (attenuated)
or
generate fluorescence after touching different objects. Ray tracing is a
general
technology from geometrical optics, and a ray passing path model is obtained
by tracing
rays generating interaction effects with an optical surface. However, tens of
thousands
of rays exist, and the rays after reflection, refraction, absorption and
fluorescence
generation are countless, so that the calculation amount of ray positive
tracing is great.
Therefore, a ray reverse tracing method gradually comes into people's sight.
The
calculation amount is greatly reduced if a camera lens is used as a light
source emitting
point and only the part of rays entering a view plane are calculated.
[0003] Due to a fact that most explosion-proof cameras used underground at
present
are black and white cameras, special underground environment of a coal mine,
all-
weather artificial illumination, and influence by factors such as dust and
dampness, an
underground video has the characteristics of low image illuminance and
nonuniform
illumination distribution, and this special conditions cause low quality of
the collected
video and poor resolution of the video. When a strong light source such as a
safety mine
lamp occurs in a view filed of a mine camera, a collected image will have a
dazzle light
phenomenon, so that the quality of the video image is greatly reduced, and
occurrence
of safety accidents may be caused. Therefore, application of the ray reverse
tracing
technology to underground image restoration for image readability improvement
is of
great importance.
1
Date Recue/Date Received 2020-04-27

SUMMARY OF THE INVENTION
Technical Problem
[0004] Aiming at the above problems, the present invention provides a method
for
restoring an underground image on the basis of a ray reverse tracing
technology. By
aiming at a phenomenon that under the conditions of low illuminance and much
dust in
a coal mine, a suddenly occurring strong light source may interfere an
original video
image, so that black and white level contrast of the monitoring image is too
great, and
information in the video image cannot be recognized, a ray reverse tracing
method is
used, and a pixel value of the strong light source in a view plane is
eliminated, so that
interference of the strong light source to the original video image is
eliminated.
Technical Solution
[0005] In order to achieve a goal of the present invention, the present
invention adopts
a technical solution that a method for restoring an underground image on the
basis of a
ray reverse tracing technology includes the following steps:
[0006] step 1: supposing an underground camera as a light source emitting
point, i.e., a
view point, and emitting rays into an underground scene;
[0007] step 2: recording all intersection points of all rays and underground
objects, and
calculating one intersection point closest to the view point in the
intersection points;
[0008] step 3: according to illumination, object materials and a normal
direction,
calculating light intensity of reflection rays or refraction rays in the
closest intersection
point determined in the step 2;
[0009] step 4: calculating a direction of rays newly generated after the rays
are reflected
and refracted by the objects in a position of the intersection point;
[0010] step 5: tracing the rays newly generated in the step 4, and judging
whether the
third time reflection or refraction rays are emitted onto a view plane right
in front of a
safety mine lamp or not; if so, calculating the third time reflection light
intensity and/or
refraction light intensity; and otherwise, returning to the step 2 to
redetermine the
closest intersection point, and repeating the step 3 to the step 5;
[0011] step 6: converting the light intensity in the step 5 into a pixel value
through a
camera CCD photosensitive element, emitting rays obtained after the third time
reflection and/or refraction of the rays emitted from the camera onto the view
plane,
2
Date Recue/Date Received 2020-04-27

and performing imaging on the view plane; and
[0012] step 7: eliminating the pixel value of strong light emitted from the
camera in an
image finally shown on the view plane to obtain an image after strong light
source
influence elimination.
[0013] In the step 3, the light intensity of the reflection rays or refraction
rays in the
closest intersection point determined in the step 2 is calculated according to
the
following method:
[0014] calculating the light intensity of the reflection rays in the position
of the
intersection point through a formula (1):
1, = 'a', + li(N = Odth(lciRd +Rs) (1)
[0015] wherein L. represents the light intensity of the reflection rays; IX,
represents an
influence value of environment light in the position of the intersection
point; L
represents the light intensity of incident light; Ka represents a specular
reflectivity
coefficient; Ks represents a diffuse reflectivity coefficient; Rd represents
specular
reflectivity; Rs represents diffuse reflectivity; and N, L and chTv
respectively represent
an object surface normal vector, a ray direction unit vector and a solid
angle;
[0016] or calculating the light intensity of the refraction rays in the
position of the
intersection point through a formula (2):
It = (cos 02/cos 01)(/i ¨ 1,) (2)
[0017] wherein it represents the light intensity of the refraction rays, and
0/ and 02 are
an incidence angle and a refraction angle.
[0018] In the step 5, the rays newly generated in the step 4 are traced
according to the
following methods:
[0019] (1) if the rays do not intersect with any object, giving up the
tracing; if the
intersection point is on a nontransparent object, only calculating the light
intensity of
the reflection rays; if the intersection point is on a transparent object,
calculating the
light intensity of the reflection rays and the light intensity of the
refraction rays, and
tracing the rays obtained by reflecting or refracting the initial rays for
three times; if the
rays obtained by reflecting or refracting the initial rays for three times are
emitted onto
the view plane right in front of the safety mine lamp, calculating the light
intensity of
the rays; and if not, giving up the tracing, and entering the step (2); and
3
Date Recue/Date Received 2020-04-27

[0020] (2) if all reflection and refraction rays generated by the initial rays
are not
emitted onto the view plane right in front of the safety mine lamp,
determining an
intersection point second closest to the view point in the intersection points
of the initial
rays and the objects; repeating the step (1); if the second closest
intersection point does
not meet conditions, sequentially calculating the next closest intersection
point until the
intersection point found meets the conditions.
[0021] In the step 7, the pixel value of the strong light emitted from the
camera is
eliminated in the image finally shown on the view plane to obtain the image
after the
strong light source influence elimination according to the following methods:
[0022] besides light of the safety mine lamp simulated by light emitted from
the camera
underground, i.e., a light source A, other artificial lamp light, i.e., a
light source B also
exists, and meanwhile, the environment light, i.e., an artificial light source
C also exists.
[0023] When the third time reflection rays and/or refraction rays are
irradiated onto the
view plane, the image on the view plane is shown as the following formula:
P (x, y) = R(x, y) = S(x, y) = L(x,y) (3)
[0024] wherein P(x,y) represents the image finally shown on the view plane;
R(x,y)
represents an image shown on the view plane when the camera does not emit
light, i.e.,
the image shown on the view plane when the light source B and the light source
C are
overlapped; S(x,y) represents an image on the view plane when only the camera
emits
light; and L(x,y) represents an image of the environment light, i.e., the
light source C,
on the view plane.
[0025] 1(x, y) = R (x , y) = S (x , y) (4) is set,
[0026] the logarithm is taken at both sides to
obtain
In P (x, y) = In I (x , y) + In L(x , y) (5),
[0027] and the environment light L(x,y) is shown as follows through P(x,y) and
Gaussian kernel convolution of a Gaussian function G(x,y):
L (x, y) = P (x, y) * G (x, y) (6)
_ (x2+y2)
[0028] wherein G (x, y) -- Ae c2 '
[0029] C represents a Gaussian surrounding scale, and .1 is one scale, and
enables
f f G (x , y) dx dy = 1 to be always true. Through the formulas (4), (5) and
(6), it can
4
Date Recue/Date Received 2020-04-27

be obtained:
In R (x , y) = In y) ¨ In(P (x , y) * G(x, y)) ¨ in S(x , y)
[0030] wherein S'(x, y) = e InR(x,y) is set,
[0031] and S'(x,y) is the image after the strong light source influence
elimination.
Advantageous Effect
[0032] Compared with the prior art, the technical solution of the present
invention has
the following beneficial technical effects:
[0033] the present invention changes a conventional thought on image
processing by
utilizing the ray reverse tracing. Conventional methods mostly use methods of
linear
conversion, gamma correction, histogram equalization, anti-sharpening mask,
homomorphic filtering, tone mapping, dark channel algorithm and the like for
the
condition of sudden occurrence of a strong light source, and a processing
effect is not
obvious. The ray reverse tracing technology can effectively eliminate the
interference
of the strong light source, restore the original underground image, and ensure
smooth
proceeding of underground work and life safety of operators.
BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Fig. 1 is a schematic diagram of an opened solid included angle civT I
of a unit
area towards a light source;
[0035] Fig. 2 is a schematic diagram of reflection and refraction receiving of
ray reverse
tracing of the present invention; and
[0036] Fig. 3 is a process of eliminating strong light source interference by
ray reverse
tracing of the present invention.
DETAILED DESCRIPTION OF THE INVENTION
The technical solutions of the present invention are further described below
with
reference to the accompanying drawings and embodiments.
[0037] According to a method for restoring an underground image on the basis
of a ray
reverse tracing technology of the present invention, by aiming at a phenomenon
that
under the conditions of low illuminance, much dust and high dampness in a coal
mine,
a suddenly occurring strong light source may interfere an original video
image, so that
Date Recue/Date Received 2020-04-27

black and white level contrast of the monitoring image is too great, and
information in
the video image cannot be recognized, a ray reverse tracing method is used,
and a pixel
value of the strong light source in a view plane is eliminated, so that
interference of the
strong light source to the original video image is eliminated. As shown in
Fig. 3, a
process of eliminating strong light source interference by ray reverse tracing
of the
present invention concretely includes steps as follows.
[0038] Step 1: an underground camera is supposed as a light source emitting
point, i.e.,
a view point, and rays are emitted into an underground scene. Intensity of the
rays is
equal to light intensity of rays emitted from a safety mine lamp.
[0039] Step 2: all intersection points of all rays and underground objects are
recorded,
and an intersection point closest to the view point in the intersection points
is calculated.
[0040] Step 3: according to illumination, object materials and a normal
direction, light
intensity of reflection rays or refraction rays in the closest intersection
point determined
in the step 2 is calculated.
[0041] The light intensity of the reflection rays in the position of the
intersection point
is calculated through a formula (1):
= + I i(N = L)dc5(KdR(j + K,R5) (1).
[0042] Jr represents the light intensity of the reflection rays. I,K,
represents an influence
value of environment light in the position of the intersection point. /,
represents the light
intensity of incident light. Ka represents a specular reflectivity
coefficient. IC, represents
a diffuse reflectivity coefficient. &represents specular reflectivity. R.,
represents diffuse
reflectivity. N, L and dVv respectively represent an object surface normal
vector, a ray
direction unit vector and a solid angle. As shown in Fig. 1, a horizontal axis
direction
represents an object surface; a longitudinal axis direction represents a
normal vector
direction of the object surface; and the solid angle is defined as an angle of
a projection
area of an underground object on a spherical surface to an observation point
after the
three-dimensional spherical surface is formed by using the camera as the
observation
point.
[0043] Or, the light intensity of the refraction rays in the position of the
intersection
point is calculated through a formula (2):
it = (cos 02/cos 01) (ii ¨ 1,) (2).
6
Date Recue/Date Received 2020-04-27

[0044] it represents the light intensity of the refraction rays, and 0/ and 02
are an
incidence angle and a refraction angle.
[0045] A light and shade effect is only determined jointly by a first
intersected object
surface normal direction, a material, a view point and an illumination
direction, and
illumination intensity, and the second layer and deeper layer rays are not
considered for
ray projection, so that shade, reflection, refraction and fluorescence effects
do not exist.
[0046] Step 4: a direction of rays newly generated after the rays are
reflected and
refracted by the objects in a position of the intersection point is
calculated. The direction
of the rays newly generated is jointly determined by an incidence light
direction, an
object surface normal direction and media.
[0047] Step 5: the rays newly generated in the step 4 is traced, and whether
the third
time reflection or refraction rays are emitted onto the view plane right in
front of a
safety mine lamp or not is judged; if so, the third time reflection light
intensity and/or
refraction light intensity is calculated; and otherwise, flow returns to the
step 2 to
redetermine the closest intersection point, and the step 3 to the step 5 are
repeated.
[0048] After the rays are emitted from the camera, ray tracing is performed as
follows:
the rays may intersect with transparent objects and nontransparent objects or
may not
intersect with any object in the scene after being emitted from the camera.
[0049] (1) If the rays do not intersect with any object, tracing is given up.
If the
intersection point is on the nontransparent object, only the light intensity
of the
reflection rays is calculated. If the intersection point is on the transparent
object, the
light intensity of the reflection rays and the light intensity of refraction
rays are
calculated, and the rays obtained by reflecting or refracting the initial rays
for three
times are traced. If the rays obtained by reflecting or refracting the initial
rays for three
times are emitted onto the view plane right in front of the safety mine lamp,
the light
intensity of the rays is calculated. If not, the tracing is given up, and flow
enters the step
(2).
[0050] (2) If all reflection and refraction rays generated by the initial rays
are not
emitted onto the view plane right in front of the safety mine lamp, an
intersection point
second closest to the view point in the intersection points of the initial
rays and the
objects. The step (1) is repeated. If the second closest intersection point
does not meet
conditions, the next closest intersection point is sequentially calculated
until the
7
Date Recue/Date Received 2020-04-27

intersection point found meets the conditions.
[0051] As shown in Fig. 2, an example for calculating the light intensity of
the reflection
rays and the light intensity of refraction are given concretely as follows.
[0052] It is supposed that in the underground scene, the camera is positioned
in the
position of the view point; light is emitted from the camera; and a
transparent object 01
and a nontransparent object 02 exist. Firstly, an initial ray E is emitted
from the view
point and intersects with the 01 at P1, and a reflection ray R1 and a
refraction ray T1 are
generated. Light intensity of the R1 conforms to a formula
= 1,,,1ai Ii(N1 = Li)dct7(If diRdi IciRs,),
and since the Ri no longer intersect
with other objects, tracing is ended. Light intensity of the Ti conforms to a
formula
= (COsevecos Doi - - The Ti
intersects inside the 01 at Pz, and a reflection
ray R2 and a refraction ray T2 are generated. Light intensity of the R2
conforms to a
formula ir2 = 1a2 1<a2 In (N2 = 1.2)d (.4)2(K R + Ks2 Rs2 ), and light
intensity of the
T2 conforms to a formula It2 = (COS 04/COS 0)(1t1 4.2) - Recursion may be
continuously performed to trace the R2 and the T2. For example, the T2 and 03
intersect
at P3, and since the 03 is nontransparent, only a reflection ray R3 is
generated. Light
intensity of the R3 conforms to a formula
fr3 = la31a3 42(N3 =
L3)dc(3(Kd3Rd3 K53 Rs3 . The R3 finally enters the view
plane.
[0053] 8/ and 02 are an incidence angle and a reflection angle at the position
Pi. 03 and
04 are an incidence angle and a reflection angle at the position P2. IctiKa,
represents
an influence value of the environment light at the position Pi. a2Ka2
represents an
influence value of the environment light at the position Pz. a,Ka3 represents
an
influence value of the environment light at the position P3. I, represents
light intensity
of the ray E, i.e., the light intensity of incidence light of the initial ray.
lf,11, Kd2, and
Kci, respectively represent specular reflectivity coefficients at the
positions Pi. P2 and
P3. Kci, K52, and Ks, respectively represent diffuse reflectivity coefficients
at the
positions Pi. P2 and P3. Rdi Rd2 and Rd3
respectively represent specular
reflectivity at the positions Pi, P2 and P3. R51, Rs2, and Rs3 respectively
represent
diffuse reflectivity at the positions Pi,P2 and P3. N1, Nz, and N3
respectively represent
normal vectors of the object surface at the positions Pi. P2 and P3. Li, L2
and L3
respectively represent unit vectors of ray directions of the initial ray E,
the refraction
8
Date Recue/Date Received 2020-04-27

ray T1 and the refraction ray T2. dodTh, and daT3 respectively represent solid
angles generated at the positions P1, P2 and P3.
[0054] Step 6: the light intensity in the step 5 is converted into a pixel
value through a
camera CCD photosensitive element. The rays obtained after the third time
reflection
and/or refraction of the rays emitted from the camera are emitted onto the
view plane.
Imaging is performed on the view plane.
[0055] Step 7: the pixel value of strong light emitted from the camera is
eliminated in
an image finally shown on the view plane to obtain an image after strong light
source
influence elimination according to the methods as follows.
[0056] Besides light of the safety mine lamp simulated by light emitted from
the camera
underground, i.e., a light source A, other artificial lamp light, i.e., a
light source B also
exists, and meanwhile, environment light, i.e., an artificial light source C
also exists.
[0057] When the third time reflection rays and/or refraction rays are
irradiated onto the
view plane, the image on the view plane may be shown as the following formula:
P (x, y) = R(x , y) = S (x,y) = L(x,y)
(3)-
[0058] P(x,y) represents the image finally shown on the view plane. R(x,y)
represents
an image shown on the view plane when the camera does not emit light, i.e.,
the image
shown on the view plane when the light source B and the light source C are
overlapped.
S(x,y) represents an image on the view plane when only the camera emits light.
L(x,y)
represents an image of the environment light, i.e., the light source C, on the
view plane.
[0059] (x, Y) = R(x,Y) = S(x,Y) (4) is set,
[0060] the logarithm is taken at both sides to
obtain
ln P (x, y) = ln I (x, y) + in L(x, y) (5),
[0061] and the environment light L(x,y) may be shown as follows through P(x,y)
and
Gaussian kernel convolution of a Gaussian function G(x,y):
L(x, y) = P (x y) * G (x, y) (6)
_(x2+3,2)
[0062] wherein G (x, y") = Ae c2
[0063] C represents a Gaussian surrounding scale, and .1 is one scale, and
enables
J f G (x y) dx dy = 1 to be always true. Through the formulas (4), (5) and
(6), it can
9
Date Recue/Date Received 2020-04-27

be obtained:
in R(x , y) = In P (x,y) ¨ In(P (x , y) * G(x, y)) ¨ In S(x, y)
elnR(x,y)
[0064] wherein S'(x, y) = is set,
[0065] and S'(x,y) is the image after the strong light source influence
elimination.
[0066] The present invention utilizes the ray reverse tracing technology.
Under the
condition of greatly reducing the calculation amount of the ray tracing, the
dazzle light
phenomenon of the strong light source on the low-illuminance underground video
image is effectively reduced, so that the effect of restoring the video image
is achieved.
Date Recue/Date Received 2020-04-27

Representative Drawing
A single figure which represents the drawing illustrating the invention.
Administrative Status

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Event History

Description Date
Inactive: Office letter 2024-03-28
Inactive: IPC expired 2023-01-01
Inactive: Office letter 2021-05-20
Grant by Issuance 2021-03-16
Inactive: Cover page published 2021-03-15
Inactive: Final fee received 2021-01-29
Pre-grant 2021-01-29
Letter Sent 2021-01-18
Notice of Allowance is Issued 2021-01-18
Notice of Allowance is Issued 2021-01-18
Amendment Received - Response to Examiner's Requisition 2021-01-18
Inactive: Approved for allowance (AFA) 2021-01-15
Inactive: Q2 passed 2021-01-15
Amendment Received - Voluntary Amendment 2020-12-11
Letter sent 2020-08-24
Examiner's Report 2020-08-24
Inactive: Report - No QC 2020-08-14
Letter Sent 2020-08-11
Inactive: IPC assigned 2020-08-11
Inactive: First IPC assigned 2020-08-11
Inactive: IPC assigned 2020-08-11
Application Published (Open to Public Inspection) 2020-07-04
Request for Examination Requirements Determined Compliant 2020-06-25
All Requirements for Examination Determined Compliant 2020-06-25
Early Laid Open Requested 2020-06-25
Amendment Received - Voluntary Amendment 2020-06-25
Advanced Examination Determined Compliant - PPH 2020-06-25
Request for Examination Received 2020-06-25
Advanced Examination Requested - PPH 2020-06-25
Letter sent 2020-06-09
Letter sent 2020-06-09
Request for Priority Received 2020-06-05
Priority Claim Requirements Determined Compliant 2020-06-05
Application Received - PCT 2020-06-05
National Entry Requirements Determined Compliant 2020-04-27
Amendment Received - Voluntary Amendment 2020-04-27
Small Entity Declaration Determined Compliant 2020-04-27
Inactive: QC images - Scanning 2020-04-27

Abandonment History

There is no abandonment history.

Fee History

Fee Type Anniversary Year Due Date Paid Date
Basic national fee - small 2020-04-27 2020-04-27
Request for examination - small 2024-06-18 2020-06-25
Final fee - small 2021-05-18 2021-01-29
MF (patent, 2nd anniv.) - small 2021-06-18 2021-04-14
MF (patent, 3rd anniv.) - small 2022-06-20 2022-05-25
MF (patent, 4th anniv.) - small 2023-06-19 2023-05-31
MF (patent, 5th anniv.) - small 2024-06-18 2024-05-21
Owners on Record

Note: Records showing the ownership history in alphabetical order.

Current Owners on Record
XUZHOU GOLDFLUID HYDRAULIC TECHNOLOGY DEVELOPMENT CO., LTD.
CHINA UNIVERSITY OF MINING AND TECHNOLOGY
Past Owners on Record
BOWEN LIU
CHAO TAN
HONGLIN WU
HONGYA ZHOU
LEI SI
PENG LIU
XIAOYU LI
XULIANG LU
YUE WU
ZHONGBIN WANG
Past Owners that do not appear in the "Owners on Record" listing will appear in other documentation within the application.
Documents

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Document
Description 
Date
(yyyy-mm-dd) 
Number of pages   Size of Image (KB) 
Representative drawing 2021-02-12 1 17
Claims 2020-04-27 3 131
Description 2020-04-27 10 476
Abstract 2020-04-27 1 31
Drawings 2020-04-27 2 67
Claims 2020-06-25 3 130
Abstract 2020-04-28 1 22
Cover Page 2020-10-14 2 60
Representative drawing 2020-10-14 1 19
Claims 2020-12-11 3 130
Cover Page 2021-02-12 2 59
Maintenance fee payment 2024-05-21 56 2,325
Courtesy - Office Letter 2024-03-28 2 190
Courtesy - Letter Acknowledging PCT National Phase Entry 2020-06-09 1 588
Courtesy - Letter Acknowledging PCT National Phase Entry 2020-06-09 1 588
Courtesy - Letter Acknowledging PCT National Phase Entry 2020-08-24 1 588
Courtesy - Acknowledgement of Request for Examination 2020-08-11 1 432
Commissioner's Notice - Application Found Allowable 2021-01-18 1 552
Non published application 2020-04-27 10 294
PCT Correspondence 2020-04-27 26 849
Amendment / response to report 2020-04-27 2 55
PPH supporting documents 2020-06-25 15 685
PPH request 2020-06-25 10 384
Examiner requisition 2020-08-24 3 205
Amendment 2020-12-11 12 425
Final fee 2021-01-29 4 118
Maintenance fee payment 2021-04-14 1 27
Courtesy - Office Letter 2021-05-20 1 203
Maintenance fee payment 2023-05-31 1 26