CN105046724B - Double image point barycenter extracting method in Differential Image motion air relevant parameters test - Google Patents

Double image point barycenter extracting method in Differential Image motion air relevant parameters test Download PDF

Info

Publication number
CN105046724B
CN105046724B CN201510447426.6A CN201510447426A CN105046724B CN 105046724 B CN105046724 B CN 105046724B CN 201510447426 A CN201510447426 A CN 201510447426A CN 105046724 B CN105046724 B CN 105046724B
Authority
CN
China
Prior art keywords
image
array
double
rows
row
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201510447426.6A
Other languages
Chinese (zh)
Other versions
CN105046724A (en
Inventor
陈纯毅
杨华民
佟首峰
江伦
赵馨
张雷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Henghui Photoelectric Measurement Technology Jilin Co ltd
Original Assignee
Changchun University of Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Changchun University of Science and Technology filed Critical Changchun University of Science and Technology
Priority to CN201510447426.6A priority Critical patent/CN105046724B/en
Publication of CN105046724A publication Critical patent/CN105046724A/en
Application granted granted Critical
Publication of CN105046724B publication Critical patent/CN105046724B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30181Earth observation
    • G06T2207/30192Weather; Meteorology

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Geometry (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

The present invention discloses the double image point barycenter extracting method in a kind of Differential Image motion air relevant parameters test.Double image dot image just automatically can be divided into two single picture point images by this method without human assistance.For every single picture point image, this method can choose the bounding box position of single picture point automatically, exclude the influence that those pixels not covered by picture point are extracted to picture point barycenter, to suppress the picture point barycenter extraction accuracy reduction that the output noise of imaging sensor is caused.This method is in real time stored in the double facula mass center coordinates extracted in test process in test record file, and data that can at any time in test record file after completion test calculate Fried parameter values.

Description

Double image point barycenter extracting method in Differential Image motion air relevant parameters test
Technical field
The invention belongs to atmospheric optics technical field of measurement and test, it is related in a kind of Differential Image motion air relevant parameters test Double image point barycenter extracting method.
Background technology
In the application such as optic communication, astronomical observation, generally require to know the atmospheric turbulence intensity on light transmission path in star. Generally the turbulence intensity of whole atmosphere is measured with atmospheric coherence length (i.e. Fried parameters).At present, many documents are all mentioned, Measure the fluctuating of the difference of light wave angle of arrival with the Differential Image method of movement, so according to angle of arrival structure function and Fried parameters it Between theory relation obtain Fried parameter values.Based on Differential Image method of movement measurement Fried parameters it is crucial that to extract image The barycenter of two picture points in the image of sensor output.Sat in the barycenter for obtaining a series of two picture points of continuous picture frames After mark, can be had mercy on direct basis it is auspicious in it is written《Modern Atmospheric Optics》In theoretical model, calculate and arrive per two field picture is corresponding Up to angle the component parallel and perpendicular to aperture center line direction differenceWithFor a series of continuous Picture frame, can obtain a series ofWithValue;It is a series of for thisWithValue, meter CalculateWithAverage value, just obtain angle of arrival parallel and perpendicular to aperture center line direction Structure function.For night tests, because starlight is fainter, cause the output signal-to-noise ratio of imaging sensor not high, scheme As the various noises that sensor is exported influence very big to the barycenter extraction accuracy of two picture points.Air phase trepang is moved to Differential Image Double image dot image in number test is analyzed it can be found that those gray values not covered by picture point are more than 0 image pixel It is actually all affected by noise, if when extracting picture point barycenter, however not excluded that the shadow of those image pixels not covered by picture point Ring, then when flicker causes picture point brightness very low, barycenter extracts error can be very big.The present invention provides a kind of Differential Image motion air Double image point barycenter extracting method in relevant parameters test, when extracting picture point barycenter, can exclude automatically it is most not by The influence of the image pixel of picture point covering, is remarkably improved barycenter extraction accuracy.
The content of the invention
The equipment that this method is related to includes Differential Image method of movement test optical system, imaging sensor and computer;Such as Fig. 1 Shown, starlight is incided after being transmitted through atmosphere in two input apertures of Differential Image method of movement test optical system, transformed After be again incident on imaging sensor, imaging sensor output double image dot image be transmitted to computer, it is complete on computers The extraction of picture point center-of-mass coordinate in pairs.As shown in Fig. 2 the origin of coordinate system is arranged on the lower left corner of double image dot image, seat The x-axis direction of mark system is set to the horizontal direction along double image dot image, and the y-axis direction of coordinate system is set to along double image dot image Vertical direction;When installing Differential Image method of movement test optical system and imaging sensor, it is ensured that image during without Turbulent Flow Effects Horizontal direction of the double image point barycenter line of the double image dot image of sensor output parallel to double image dot image.
This method realizes step:
Step001:Start computer, the double image dot image that continuous acquisition n frames come from imaging sensor transmission, n >=10;Profit With computer program, it is double image point that two-dimensional array an IMAG, M comprising M rows, N column elements are created in the internal memory of computer Total number of lines of pixels of image, N is total pixel columns of double image dot image;Array IMAG all elements are all entered as 0;To I =1,2 ..., M, J=1,2 ..., N calculate I rows, the gray value of J row pixels of all n frames double image dot images collected Sum A001, gray value sum A001 divided by n result is assigned to array IMAG I rows, J column elements;
Step002:Using computer program, an one-dimension array for including N number of element is created in the internal memory of computer HIST;To J=1,2 ..., N, the array IMAG J all elements value sums arranged are assigned to HIST j-th elements;
Step003:Divided byResult be assigned to variable X S, HIST (J) represent array The value of HIST j-th element;Order Expression rounds up;
Step004:If receiving stopping test command, go to step Step008, otherwise gather a frame it is new from image sensing The double image dot image A002 that device transmission comes;The gray value of the pixel of the 1st of image A002 to M rows, the 1st to Idx row is protected One is stored to include in M rows, the two-dimensional array A003 of Idx column elements, i.e., to I=1,2 ..., M, J=1,2 ..., Idx, figure The gray value of I rows, J row pixels as A002 is assigned to array A003 I rows, J column elements;The of image A002 1 to M rows, Idx+1 to Nth column pixel gray value be saved in one comprising M rows, N-Idx column elements two-dimensional array In A004, i.e., to I=1,2 ..., M, J=Idx+1, Idx+2 ..., N, the gray scale of I rows, J row pixels image A002 Value is assigned to array A004 I rows, J-Idx column elements;
Step005:The numbering MI and the numbering MJ of row of row where the element for the value maximum for finding out array A003, if number The maximum of element in group A003 is simultaneously corresponding to multiple elements, then where finding out any one maximum element therein The capable numbering MI and numbering MJ of row;Make i1=max (1, MI-W), i2=min (M, MI+W), j1=max (1, MJ-W), j2= Min (Idx, MJ+W), max (X, Y) expression take the maximum among X and Y, and min (X, Y) represents to take the minimum value among X and Y, W For integer, W represents half length of side of picture point bounding box;It is calculated as follows expression formula:WithWherein A003 (I, J) represents array A003 I rows, the value of the element of J row;
Step006:The numbering MI2 and the numbering MJ2 of row of row where the element for the value maximum for finding out array A004, if The maximum of element in array A004 then finds out any one maximum element place therein simultaneously corresponding to multiple elements Row numbering MI2 and row numbering MJ2;Make i1=max (1, MI2-W), i2=min (M, MI2+W), j1=max (1, MJ2- W), j2=min (N-Idx, MJ2+W);It is calculated as follows expression formula:
WithWherein A004 (I, J) represents array A004 I rows, J row element value;
Step007:The center-of-mass coordinate of double image point is exported to test record file using computer program, wherein left picture point The x coordinate of barycenter is (clj-0.5)×wp, the y-coordinate of the barycenter of left picture point is (cli-0.5)×hp, the x seats of the barycenter of right picture point Mark is (crj+Idx-0.5)×wp, the y-coordinate of the barycenter of right picture point is (cri-0.5)×hp, wpRepresent the pixel of imaging sensor Width, hpRepresent the height of the pixel of imaging sensor;OrderGo to step Step004;
Step008:Stop double image point barycenter and extract operation.
Beneficial effect
The invention provides the double image point barycenter extracting method in a kind of motion air relevant parameters test of Differential Image, surveying During examination, double image dot image automatically can be divided into two single picture point figures by this method in the case of without human assistance Picture, and the bounding box position of single picture point is chosen automatically, to exclude the influence of those pixels not covered by picture point, so as to reduce Influence of the output noise of imaging sensor to picture point barycenter extraction accuracy.This method can be in test process in real time double The center-of-mass coordinate data of picture point are stored in test record file.After the completion of test, it can be remembered at any time according to test Data in record file calculate Fried parameter values.
Brief description of the drawings
Fig. 1 is the hardware device composition schematic diagram that this method is related to.Fig. 2 is double image dot image and the relation of coordinate system.
Embodiment
In order that the feature and advantage of this method are more clearly understood, this method is made into one with reference to specific embodiment The description of step.In the present embodiment, n=20 is made, double image is detected using the height of the pixel imaging sensor equal with width Dot image.
The equipment that this method is related to includes Differential Image method of movement test optical system, imaging sensor and computer;Such as Fig. 1 Shown, starlight is incided after being transmitted through atmosphere in two input apertures of Differential Image method of movement test optical system, transformed After be again incident on imaging sensor, imaging sensor output double image dot image be transmitted to computer, it is complete on computers The extraction of picture point center-of-mass coordinate in pairs.As shown in Fig. 2 the origin of coordinate system is arranged on the lower left corner of double image dot image, seat The x-axis direction of mark system is set to the horizontal direction along double image dot image, and the y-axis direction of coordinate system is set to along double image dot image Vertical direction;When installing Differential Image method of movement test optical system and imaging sensor, it is ensured that image during without Turbulent Flow Effects Horizontal direction of the double image point barycenter line of the double image dot image of sensor output parallel to double image dot image.
This method realizes step:
Step001:Start computer, the double image dot image that continuous acquisition n frames come from imaging sensor transmission, n >=10;Profit With computer program, it is double image point that two-dimensional array an IMAG, M comprising M rows, N column elements are created in the internal memory of computer Total number of lines of pixels of image, N is total pixel columns of double image dot image;Array IMAG all elements are all entered as 0;To I =1,2 ..., M, J=1,2 ..., N calculate I rows, the gray value of J row pixels of all n frames double image dot images collected Sum A001, gray value sum A001 divided by n result is assigned to array IMAG I rows, J column elements;
Step002:Using computer program, an one-dimension array for including N number of element is created in the internal memory of computer HIST;To J=1,2 ..., N, the array IMAG J all elements value sums arranged are assigned to HIST j-th elements;
Step003:Divided byResult be assigned to variable X S, HIST (J) represent array The value of HIST j-th element;Order Expression rounds up;
Step004:If receiving stopping test command, go to step Step008, otherwise gather a frame it is new from image sensing The double image dot image A002 that device transmission comes;The gray value of the pixel of the 1st of image A002 to M rows, the 1st to Idx row is protected One is stored to include in M rows, the two-dimensional array A003 of Idx column elements, i.e., to I=1,2 ..., M, J=1,2 ..., Idx, figure The gray value of I rows, J row pixels as A002 is assigned to array A003 I rows, J column elements;The of image A002 1 to M rows, Idx+1 to Nth column pixel gray value be saved in one comprising M rows, N-Idx column elements two-dimensional array In A004, i.e., to I=1,2 ..., M, J=Idx+1, Idx+2 ..., N, the gray scale of I rows, J row pixels image A002 Value is assigned to array A004 I rows, J-Idx column elements;
Step005:The numbering MI and the numbering MJ of row of row where the element for the value maximum for finding out array A003, if number The maximum of element in group A003 is simultaneously corresponding to multiple elements, then where finding out any one maximum element therein The capable numbering MI and numbering MJ of row;Make i1=max (1, MI-W), i2=min (M, MI+W), j1=max (1, MJ-W), j2= Min (Idx, MJ+W), max (X, Y) expression take the maximum among X and Y, and min (X, Y) represents to take the minimum value among X and Y, W For integer, W represents half length of side of picture point bounding box;It is calculated as follows expression formula:WithWherein A003 (I, J) represents array A003 I rows, the value of the element of J row;
Step006:The numbering MI2 and the numbering MJ2 of row of row where the element for the value maximum for finding out array A004, if The maximum of element in array A004 then finds out any one maximum element place therein simultaneously corresponding to multiple elements Row numbering MI2 and row numbering MJ2;Make i1=max (1, MI2-W), i2=min (M, MI2+W), j1=max (1, MJ2- W), j2=min (N-Idx, MJ2+W);It is calculated as follows expression formula:
WithWherein A004 (I, J) represents array A004 I rows, J row element value;
Step007:The center-of-mass coordinate of double image point is exported to test record file using computer program, wherein left picture point The x coordinate of barycenter is (clj-0.5)×wp, the y-coordinate of the barycenter of left picture point is (cli-0.5)×hp, the x seats of the barycenter of right picture point Mark is (crj+Idx-0.5)×wp, the y-coordinate of the barycenter of right picture point is (cri-0.5)×hp, wpRepresent the pixel of imaging sensor Width, hpRepresent the height of the pixel of imaging sensor;OrderGo to step Step004;
Step008:Stop double image point barycenter and extract operation.
The choosing method of the value of parameter W in step Step005 and step Step006:Before the test begins, using calculating The double image dot image that the transmission of the two field picture sensor of machine continuous acquisition 80 comes, is grasped using the image addition in Computer Image Processing Make, this 80 frame double image dot image is superimposed, obtained in a new double image dot image B001, double image dot image B001 Image spot size can be bigger than the image spot size in the single frames double image dot image of computer acquisition;One is drawn on double image dot image B001 The bounding box BBOX of square, the size for setting bounding box BBOX is can surrounding left picture point and surrounding right picture point for minimum Size, as shown in Fig. 2 picture point corresponding bounding box in left and right is two bounding boxes of length of side identical in figure.Calculate bounding box BBOX The image pixel number NP of covering, order

Claims (1)

1. the double image point barycenter extracting method in Differential Image motion air relevant parameters test, it is characterised in that required equipment With realize that step is as follows:
The equipment that this method is related to includes Differential Image method of movement test optical system, imaging sensor and computer;Starlight is through big Gas-bearing formation transmission after incide the Differential Image method of movement test optical system two input apertures in, it is transformed after be again incident on image On sensor, the double image dot image of imaging sensor output is transmitted to computer, and double image point barycenter is completed on computers and is sat Target is extracted;The origin of coordinate system is arranged on the lower left corner of double image dot image, the x-axis direction of coordinate system is set to along double image The horizontal direction of dot image, is set to the y-axis direction of coordinate system the vertical direction along double image dot image;Differential Image fortune is being installed When dynamic method test optical system and imaging sensor, it is ensured that pair for the double image dot image that imaging sensor is exported during without Turbulent Flow Effects Horizontal direction of the picture point barycenter line parallel to double image dot image;
This method realizes step:
Step001:Start computer, the double image dot image that continuous acquisition n frames come from imaging sensor transmission, n >=10;Utilize meter Calculation machine program, it is double image dot image that two-dimensional array an IMAG, M comprising M rows, N column elements are created in the internal memory of computer Total number of lines of pixels, N be double image dot image total pixel columns;Array IMAG all elements are all entered as 0;To I=1, 2 ..., M, J=1,2 ..., N calculate I rows, the gray value sum of J row pixels of all n frames double image dot images collected A001, gray value sum A001 divided by n result is assigned to array IMAG I rows, J column elements;
Step002:Using computer program, an one-dimension array HIST for including N number of element is created in the internal memory of computer; To J=1,2 ..., N, the array IMAG J all elements value sums arranged are assigned to HIST j-th elements;
Step003:Divided byResult be assigned to variable X S, HIST (J) represent array The value of HIST j-th element;Order Expression rounds up;
Step004:If receiving stopping test command, Step008 is gone to step, otherwise gathers that a frame is new to be passed from imaging sensor The double image dot image A002 sent;The gray value of the pixel of the 1st of image A002 to M rows, the 1st to Idx row is saved in One includes in M rows, the two-dimensional array A003 of Idx column elements, i.e., to I=1,2 ..., M, J=1,2 ..., Idx, image A002 I rows, the gray value of J row pixels are assigned to array A003 I rows, J column elements;The 1st of image A002 the Gray value to M rows, Idx+1 to Nth column pixel is saved in a two-dimensional array comprising M rows, N-Idx column elements In A004, i.e., to I=1,2 ..., M, J=Idx+1, Idx+2 ..., N, the gray scale of I rows, J row pixels image A002 Value is assigned to array A004 I rows, J-Idx column elements;
Step005:The numbering MI and the numbering MJ of row of row where the element for the value maximum for finding out array A003, if array The maximum of element in A003 corresponding to multiple elements, then finds out the row where any one maximum element therein simultaneously Numbering MI and row numbering MJ;Make i1=max (1, MI-W), i2=min (M, MI+W), j1=max (1, MJ-W), j2= Min (Idx, MJ+W), max (X, Y) expression take the maximum among X and Y, and min (X, Y) represents to take the minimum value among X and Y, W For integer, W represents half length of side of picture point bounding box;It is calculated as follows expression formula:
WithWherein A003 (I, J) represents the of array A003 The value of I rows, the element of J row;
Step006:The numbering MI2 and the numbering MJ2 of row of row where the element for the value maximum for finding out array A004, if array The maximum of element in A004 corresponding to multiple elements, then finds out the row where any one maximum element therein simultaneously Numbering MI2 and row numbering MJ2;I1=max (1, MI2-W), i2=min (M, MI2+W), j1=max (1, MJ2-W) are made, J2=min (N-Idx, MJ2+W);It is calculated as follows expression formula:
WithWherein A004 (I, J) represents the of array A004 The value of I rows, the element of J row;
Step007:The center-of-mass coordinate of double image point is exported to test record file using computer program, wherein the barycenter of left picture point X coordinate be (clj-0.5)×wp, the y-coordinate of the barycenter of left picture point is (cli-0.5)×hp, the x coordinate of the barycenter of right picture point is (crj+Idx-0.5)×wp, the y-coordinate of the barycenter of right picture point is (cri-0.5)×hp, wpRepresent the width of the pixel of imaging sensor Degree, hpRepresent the height of the pixel of imaging sensor;OrderGo to step Step004;
Step008:Stop double image point barycenter and extract operation;
The choosing method of the value of parameter W in step Step005 and step Step006:Before the test begins, connected using computer The double image dot image that continuous collection 80 two field picture sensors transmission comes, is operated using the image addition in Computer Image Processing, This 80 frame double image dot image is superimposed, and obtains the picture point in a new double image dot image B001, double image dot image B001 Size can be bigger than the image spot size in the single frames double image dot image of computer acquisition;A pros are drawn on double image dot image B001 The bounding box BBOX of shape, the size for setting bounding box BBOX is can surrounding left picture point and surrounding the big of right picture point for minimum It is small, calculate the image pixel number NP of bounding box BBOX coverings, order
CN201510447426.6A 2015-07-21 2015-07-21 Double image point barycenter extracting method in Differential Image motion air relevant parameters test Active CN105046724B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510447426.6A CN105046724B (en) 2015-07-21 2015-07-21 Double image point barycenter extracting method in Differential Image motion air relevant parameters test

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510447426.6A CN105046724B (en) 2015-07-21 2015-07-21 Double image point barycenter extracting method in Differential Image motion air relevant parameters test

Publications (2)

Publication Number Publication Date
CN105046724A CN105046724A (en) 2015-11-11
CN105046724B true CN105046724B (en) 2017-10-24

Family

ID=54453241

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510447426.6A Active CN105046724B (en) 2015-07-21 2015-07-21 Double image point barycenter extracting method in Differential Image motion air relevant parameters test

Country Status (1)

Country Link
CN (1) CN105046724B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107741280B (en) * 2017-11-22 2019-05-17 长春理工大学 Light beam forward direction turbulence transfer drift angle and reverse transfer angle of arrival related coefficient measurement method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5537209A (en) * 1994-01-14 1996-07-16 Sparta, Inc. An interferometric measuring system having temperature compensation and improved optical configurations
CN102778300A (en) * 2012-07-27 2012-11-14 中国科学院长春光学精密机械与物理研究所 Method for stably measuring atmospheric coherence length
CN103578088A (en) * 2013-11-20 2014-02-12 中国人民解放军海军大连舰艇学院 Method for processing star image
CN104034353A (en) * 2014-06-06 2014-09-10 中国科学院长春光学精密机械与物理研究所 Computing method of digital sun sensor centroid based on detecting window

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5537209A (en) * 1994-01-14 1996-07-16 Sparta, Inc. An interferometric measuring system having temperature compensation and improved optical configurations
CN102778300A (en) * 2012-07-27 2012-11-14 中国科学院长春光学精密机械与物理研究所 Method for stably measuring atmospheric coherence length
CN103578088A (en) * 2013-11-20 2014-02-12 中国人民解放军海军大连舰艇学院 Method for processing star image
CN104034353A (en) * 2014-06-06 2014-09-10 中国科学院长春光学精密机械与物理研究所 Computing method of digital sun sensor centroid based on detecting window

Also Published As

Publication number Publication date
CN105046724A (en) 2015-11-11

Similar Documents

Publication Publication Date Title
KR102674646B1 (en) Apparatus and method for obtaining distance information from a view
CN109883533B (en) Low-frequency vibration measurement method based on machine vision
DE112014005866B4 (en) Improvement of plenoptic camera resolution
An et al. Quantifying time-series of leaf morphology using 2D and 3D photogrammetry methods for high-throughput plant phenotyping
CN105424726B (en) Luminescent panel detection method based on machine vision
WO2021143233A1 (en) Image definition detection method, system, and device, and storage medium
CN109580630A (en) A kind of visible detection method of component of machine defect
CN104048744A (en) Non-contact real-time online vibration measurement method based on images
Yu et al. Detecting gear surface defects using background‐weakening method and convolutional neural network
CN101943563A (en) Rapid calibration method of line-structured light vision sensor based on space plane restriction
JP6317725B2 (en) System and method for determining clutter in acquired images
CN110232387A (en) A kind of heterologous image matching method based on KAZE-HOG algorithm
CN109373978B (en) Surrounding rock displacement monitoring method for roadway surrounding rock similar simulation
CN106124034A (en) Thin-wall part operation mode based on machine vision test device and method of testing
CN103913149B (en) A kind of binocular range-measurement system and distance-finding method thereof based on STM32 single-chip microcomputer
CN112344913A (en) Regional risk coefficient evaluation method by utilizing oblique photography image of unmanned aerial vehicle
CN107560541A (en) The measuring method and device of picture centre deviation
CN114898044B (en) Imaging method, device, equipment and medium for detection object
CN105023270A (en) Proactive 3D stereoscopic panorama visual sensor for monitoring underground infrastructure structure
CN104216147A (en) Image quality assessment based LCD (Liquid Crystal Display) display screen motion blur detection method
Montgomerie et al. Validation study of three-dimensional scanning of footwear impressions
Hua et al. Kinect‐Based Real‐Time Acquisition Algorithm of Crop Growth Depth Images
CN105046724B (en) Double image point barycenter extracting method in Differential Image motion air relevant parameters test
Patel et al. Deep Learning-Based Plant Organ Segmentation and Phenotyping of Sorghum Plants Using LiDAR Point Cloud
JP2020512536A (en) System and method for 3D profile determination using model-based peak selection

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20211215

Address after: 130041 room 1618, building B, Sino Italian international, Changchun Economic Development Zone, Jilin Province

Patentee after: Jilin Henghui Photoelectric Technology Co.,Ltd.

Address before: 130022 No. 7089 Satellite Road, Jilin, Changchun

Patentee before: CHANGCHUN University OF SCIENCE AND TECHNOLOGY

TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20230605

Address after: Room 305 and 306, Dongfu Building, Zone 3, Entrepreneurship Service Center, No. 6666, Ecological Street, Jingyue Hi tech Industrial Development Zone, Changchun, 130000, Jilin

Patentee after: Henghui Photoelectric Measurement Technology (Jilin) Co.,Ltd.

Address before: 130041 room 1618, building B, Sino Italian international, Changchun Economic Development Zone, Jilin Province

Patentee before: Jilin Henghui Photoelectric Technology Co.,Ltd.

DD01 Delivery of document by public notice
DD01 Delivery of document by public notice

Addressee: Chang Rui

Document name: Notification of Qualified Procedures