CN105654097B - The detection method of quadrangle marker in image - Google Patents

The detection method of quadrangle marker in image Download PDF

Info

Publication number
CN105654097B
CN105654097B CN201511008855.XA CN201511008855A CN105654097B CN 105654097 B CN105654097 B CN 105654097B CN 201511008855 A CN201511008855 A CN 201511008855A CN 105654097 B CN105654097 B CN 105654097B
Authority
CN
China
Prior art keywords
line segment
image
edge
detection
straight line
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.)
Expired - Fee Related
Application number
CN201511008855.XA
Other languages
Chinese (zh)
Other versions
CN105654097A (en
Inventor
任思旭
谷庆
郑红杰
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.)
SHANGHAI TRUELAND INFORMATION TECHNOLOGY Co Ltd
Original Assignee
SHANGHAI TRUELAND INFORMATION TECHNOLOGY Co Ltd
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 SHANGHAI TRUELAND INFORMATION TECHNOLOGY Co Ltd filed Critical SHANGHAI TRUELAND INFORMATION TECHNOLOGY Co Ltd
Priority to CN201511008855.XA priority Critical patent/CN105654097B/en
Publication of CN105654097A publication Critical patent/CN105654097A/en
Application granted granted Critical
Publication of CN105654097B publication Critical patent/CN105654097B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/25Determination of region of interest [ROI] or a volume of interest [VOI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/56Extraction of image or video features relating to colour

Landscapes

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

Abstract

The invention discloses a kind of detection methods of quadrangle marker in image, comprising: makees back projection processing to image to be detected as template using the distribution of color in image to be detected in quadrangle label object area, obtains back projection result figure;Edge detection is made to back projection result figure, obtains edge detection results figure;Using preset threshold as condition, the four edges edge line segment for the condition that meets is extracted from edge detection results figure;Calculate the intersection point of straight line where any two adjacent segments in four edges edge line segment;Four vertex of the quadrangle marker are obtained according to four obtained intersection points.Detection method of the present invention screens the edge line segment of extraction by default accumulative threshold value, reduces the straight line number for participating in subsequent calculating, detection speed and detection accuracy can be improved;And back projection processing is made to image to be detected before performing edge detection, can reduce background image to the interference of detection zone and influence, detection accuracy can be improved.

Description

The detection method of quadrangle marker in image
Technical field
The present invention relates to technical field of image processing, more particularly to a kind of detection side of quadrangle marker in image Method.
Background technique
Extraction and detection in machine vision and field of image processing, using the marker of advantages of simple to image information It is of great significance to, helps to improve the accuracy and speed to image procossing.Rectangle marked object is due to its own shape Simple structure is easy to the characteristics of being extracted characteristic point and is widely used, in practical applications, rectangle marked object institute in the picture The shape of display is irregular quadrilateral, and therefore, the identification to rectangle marked object area is exactly in image this irregular four The detection of side shape.
In recent years, have a few studies personnel to start to expand the detection of quadrilateral area in image research, it is public The application publication number opened is the patent document of CN103198444A, entitled " detection method of image processing apparatus and rectangle " In, multiple candidate rectangles are constituted by extracting four straight lines of pairwise orthogonal from a plurality of straight line detected, further according to each Edge pixel distribution near each angle of a candidate rectangle acquire each angle like angular travel degree, detect rectangle finally to determine.
But above-mentioned detection method have the following disadvantages: participated in since it extracts a plurality of straight line calculate straight line number and Intersection point number is more, therefore haves the shortcomings that detection speed is slow, precision is low.
Summary of the invention
Detection can be improved compared with the prior art in the detection method that the present invention provides quadrangle marker in a kind of image Speed and detection accuracy.
To achieve the above object, the invention provides the following technical scheme:
The detection method of quadrangle marker in a kind of image, comprising:
Described image to be detected is made using the distribution of color in image to be detected in quadrangle label object area as template anti- To projection process, back projection result figure is obtained;
Edge detection is made to the back projection result figure, obtains edge detection results figure;
Using preset threshold as condition, the four edges edge line segment for the condition that meets is extracted from the edge detection results figure;
Calculate the intersection point of straight line where any two adjacent segments in the four edges edge line segment;
Four vertex of the quadrangle marker are obtained according to four obtained intersection points.
Optionally, the distribution of color using in image to be detected in quadrangle label object area is template to described to be checked Altimetric image makees back projection processing, before further include:
Noise reduction process is made to image to be detected application gaussian filtering, and carries out gradation conversion processing.
Optionally, the distribution of color using in image to be detected in quadrangle label object area is template to described to be checked Altimetric image makees back projection processing, comprising:
Back projection behaviour is made to described image to be detected as template using the distribution of color in quadrangle label object area Make, and carries out binary conversion treatment and multiple closed operation processing.
Optionally, described using preset threshold as condition, that the condition that meets is extracted from the edge detection results figure four Edge line segment, comprising:
Using default accumulative threshold value as condition, the edge detection results figure is made at accumulated probability type straight line Hough transformation Reason extracts four edge line segments for obtaining meeting condition.
Optionally, the intersection point for calculating straight line where any two adjacent segments in the four edges edge line segment, comprising:
When judging that four edge line segments all have slope, the slope of every edge line segment is calculated;
Four edge line segments are successively sorted according to the size of slope absolute value, are L1, L2, L3, L4;
Straight line and line segment where the intersection point and line segment L2 of straight line where calculating line segment L1 and the place line segment L3, L4 straight line The intersection point of straight line where L3, L4, obtains four intersection points.
Optionally, the intersection point for calculating straight line where any two adjacent segments in the four edges edge line segment, is also wrapped It includes:
When judge one in four edge line segments or two lines section there is no when slope, calculate its excess-three item or There are the slopes of the edge line segment of slope by person two;
By three or two, there are the edge line segments of slope successively to sort according to the size of slope absolute value, is L1, L2, L3 or L1, L2;
When slope is not present in a line segment, the intersection point of straight line where calculating this line segment and the place line segment L2, L3 straight line, And the intersection point of straight line where straight line where line segment L1 and line segment L2, L3, obtain four intersection points;
When slope is not present in two lines section, straight line where calculating two lines section respectively with straight line where line segment L1, L2 Intersection point, obtain four intersection points.
Optionally, four intersection points that the basis obtains obtain four vertex of the quadrangle marker, comprising:
The distance that any two intersection point is fastened in image coordinate in four intersection points is calculated, lowest distance value is obtained;
Respectively centered on four intersection points, four pros are set by side length of the half of the lowest distance value Shape detection zone;
Detection has the harris angle point of maximum eigenvalue respectively in four square detection zones, is determined as institute State four vertex of quadrangle marker.
It is optionally, described that detection has the angle harris of maximum eigenvalue respectively in four square detection zones Point is determined as four vertex of the quadrangle marker, comprising:
Sub-pixization processing is made to the four harris angle points detected, using processing result as the quadrangle marker Four vertex.
Optionally, described to calculate the distance that any two intersection point is fastened in image coordinate in four intersection points, it obtains most Small distance value, comprising:
Calculated distance value is formed into distance set;
The distance value in the distance set is traversed, lowest distance value is obtained.
Optionally, the lenth ratio of the longest edge of quadrangle marker and most short side described in described image to be detected is little In 2.
As shown from the above technical solution, in image provided by the present invention quadrangle marker detection method, comprising: with Distribution of color in image to be detected in quadrangle label object area is that template makees back projection processing to described image to be detected, Obtain back projection result figure;Edge detection is made to the back projection result figure, obtains edge detection results figure;To preset threshold Value is condition, and the four edges edge line segment for the condition that meets is extracted from the edge detection results figure;Calculate the four edges edge line The intersection point of straight line where any two adjacent segments in section;The four of the quadrangle marker is obtained according to four obtained intersection points A vertex.
The detection method of quadrangle marker in image of the present invention is extracting edge line from edge detection results figure Duan Shi extracts the four edges edge line segment for the condition that meets using preset threshold as condition by the way that preset threshold is arranged, to be based on extracting Four line segments arrived calculate and determine four vertex of quadrangle marker, compared with prior art, make the straight line for participating in calculating Number is few, so that detection speed and detection accuracy can be improved;Also, back projection is made to figure to be detected before performing edge detection Processing, can reduce background image to the interference of detection zone and influence, detection accuracy can be improved.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.
Fig. 1 is the flow chart of the detection method of quadrangle marker in a kind of image provided in an embodiment of the present invention;
Fig. 2 is the flow chart of step S103 in the embodiment of the present invention;
Fig. 3 is the flow chart of step S104 in the embodiment of the present invention.
Specific embodiment
Technical solution in order to enable those skilled in the art to better understand the present invention, below in conjunction with of the invention real The attached drawing in example is applied, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described implementation Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common Technical staff's every other embodiment obtained without making creative work, all should belong to protection of the present invention Range.
Referring to FIG. 1, Fig. 1 is the stream of the detection method of quadrangle marker in a kind of image provided in an embodiment of the present invention Cheng Tu.
The detection method of quadrangle marker in image provided by the present embodiment need to meet the following conditions in application: (1) color in quadrangle label object area and the color of background image have obvious differentiation;(2) quadrangle marks object area Interior distribution of color will more uniformly;(3) lenth ratio of the longest edge of quadrangle marker and most short side is not more than 2;(4) four Area ratio/occupancy ratio of the side shape marker in entire image to be detected cannot be too small.
The detection method comprises the following steps for the present embodiment:
S100: being template to described image to be detected using the distribution of color in image to be detected in quadrangle label object area Make back projection processing, obtains back projection result figure.
Before carrying out the step, first image to be detected of acquisition is pre-processed, is specifically included: using gaussian filtering pair Image to be detected makees noise reduction process, then carries out gradation conversion processing to it and be converted to gray level image.Work can be used in the present embodiment Industry camera acquires image, and acquisition camera is required to have a certain distance away from rectangle marked object when acquiring image.
It is template to be checked using the distribution of color in quadrangle label object area after having carried out pretreatment to image to be detected Altimetric image makees backprojection operations, and result is carried out binary conversion treatment and multiple closed operation processing, obtains back projection result Figure.
S101: edge detection is made to the back projection result figure, obtains edge detection results figure.
S102: using preset threshold as condition, the four edges edge line for the condition that meets is extracted from the edge detection results figure Section.
Specifically, making the processing of accumulated probability type straight line Hough transformation to obtained edge detection results figure, wherein pass through conjunction The default accumulative threshold value of reason setting extracts the four edges edge line segment for obtaining meeting threshold condition using default accumulative threshold value as condition, right The each edge of marker is answered only to extract the edge line segment for meeting condition.
Therefore compared with the prior art in detection method, the present embodiment the method is by default accumulative threshold value, to mentioning The edge line segment taken is screened, and is only extracted four edge line segments for meeting threshold condition, is made the line segment for participating in subsequent calculating Number is reduced, and can reduce calculation amount, improves detection speed.
S103: the intersection point of straight line where any two adjacent segments in the four edges edge line segment is calculated.
In the step, referring to FIG. 2, first determining whether to detect before the intersection point of straight line where calculating acquisition edge line segment Four edges edge line segment out whether there is slope, and judging result includes following two situation: (1) four edges edge line segment all exists Slope;(2) having one or two in four edges edge line segment, there is no slopes.
When being judged as the first situation, i.e., when four edges edge line segment all has slope, calculate the detailed process of intersection point such as Under:
S200: the slope of every edge line segment is calculated;
Specifically, the slope k of i-th line sectioniBy the starting point coordinate (x of the line segmenti、yi) and terminal point coordinate (xi′、yi'), root According to calculation formulaBe calculated, wherein starting point coordinate and terminal point coordinate by previous step to edge detection knot Fruit figure makees accumulated probability type straight line Hough transformation and handles to obtain.
S201: four edge line segments are successively sorted according to the size of slope absolute value, are L1, L2, L3, L4;
Straight line where S202: the intersection point of straight line where straight line and line segment L3, L4 where calculating line segment L1 and line segment L2 with The intersection point of straight line where line segment L3, L4, obtains described four intersection points A1, A2, A3, A4.
When being judged as second situation, i.e., there are one or two lines section in four edges edge line segment there is no when slope, Calculating process is specific as follows:
S300: calculating its excess-three item or two, there are the slopes of the edge line segment of slope;
The calculation method of slope is same as above, specifically: the slope k of i-th line sectioniBy the starting point coordinate (x of the line segmenti、yi) and Terminal point coordinate (xi′、yi'), according to calculation formulaIt is calculated, wherein starting point coordinate and terminal point coordinate are by upper one Make accumulated probability type straight line Hough transformation to edge testing result figure in step to handle to obtain.
S301: by three or two, there are the edge line segments of slope successively to arrange according to the size of slope absolute value Sequence is L1, L2, L3 or L1, L2;
S302: when slope is not present in a line segment, straight line where calculating this line segment and straight line where line segment L2, L3 The intersection point of intersection point and line segment L1 place straight line and the place line segment L2, L3 straight line, obtains described four intersection points A1, A2, A3, A4; When slope is not present in two lines section, two lines section place straight line intersection point with straight line where line segment L1, L2 respectively is calculated, is obtained Obtain described four intersection points A1, A2, A3, A4.
When slope is not present in a line segment, the intersection point of straight line where calculating this line segment and the place line segment L2, L3 straight line, And the intersection point of straight line where straight line where line segment L1 and line segment L2, L3, obtain four intersection points;When slope is not present in two lines section When, two lines section place straight line intersection point with straight line where line segment L1, L2 respectively is calculated, four intersection points are obtained
Therefore detection method described in the present embodiment, where calculating it in the edge line segment according to extraction when the intersection point of straight line, By comparing the slope size between each edge line segment, to prejudge the positional relationship between each line segment, (opposite side faces frontier juncture System), it then only calculates the intersection point faced between the section of sideline and obtains four intersection points, so that the intersection point number for participating in subsequent calculating be made to subtract It is few.And detection method in the prior art needs to calculate the intersection point between all line segments extracted, participates in the friendship of subsequent calculating Point number is more, will lead to heavy workload, speed is slow, therefore compared with prior art, and detection method described in the present embodiment can make to count Operator workload substantially reduces, and detection speed can be improved.
S104: four vertex of the quadrangle marker are obtained according to four obtained intersection points.
In the previous step, four intersection points are obtained by the intersection point of straight line where calculating any two edges line segment, is obtained Four intersecting point coordinates obtained are the rough estimate values to four vertex of quadrangle marker, are obtained in this step based on upper step To four intersection points four vertex of quadrangle marker are accurately measured.
Referring to FIG. 3, specifically includes the following steps:
S400: calculating the distance that any two intersection point is fastened in image coordinate in four intersection points, obtains minimum range Value.
It is specifically included in this step: calculating any two intersection point in four intersection points A1, A2, A3, A4 and fastened in image coordinate Distance, by calculated distance value form distance set D;The distance value in the distance set D is traversed, most narrow spacing is obtained From value, it is denoted as min { D }.
S401: respectively centered on four intersection points, using the half of the lowest distance value as side length setting four A square detection zone.It is that side length is being arranged four just with min { D }/2 i.e. respectively centered on four intersection points A1, A2, A3, A4 Rectangular detection zone.
S402: detection has the harris angle point of maximum eigenvalue respectively in four square detection zones, really It is set to four vertex of the quadrangle marker.
Specifically include in this step: detection has the harris of maximum eigenvalue respectively in four square detection zones Angle point makees sub-pixization processing to the four harris angle points detected, using processing result as the quadrangle marker Four vertex, obtain the fine estimation on four vertex of quadrangle marker, to complete to quadrangle marker Detection.
Therefore detection method described in the present embodiment, when detecting harris angle point, can be obtained according to rough estimate four Harris Corner Detection region is reasonably arranged in a intersection point, to reduce detection range, exclusive PCR harris angle point.Compared to existing The some methods for needing manual setting detection zone having, have certain intelligence and convenience.Simultaneously in detection zone Detection harris angle point can guarantee detection accuracy.
Therefore, in a kind of image provided in this embodiment quadrangle marker detection method, by marker four The detection on vertex can preferably obtain the shape feature of marker, vertex be detected as harris angle point, energy Enough guarantee detection accuracy.
When extracting edge line segment, by the way that accumulative threshold value is rationally arranged, the line segment of extraction is screened, correspondence markings The each edge of object only extracts the edge line segment for meeting condition, keeps the line segment number for participating in calculating less, reduces calculating Detection speed can be improved in workload.
At four vertex of rough estimate marker, (opposite side faces the positional relationship that can judge in advance between line segment Frontier juncture system), the intersection point between straight line where facing sideline section is only calculated, keeps the intersection point number for participating in subsequent calculating few, helps to improve Detect speed.
At accurately four vertex of estimation marker, can be rationally arranged according to the rough estimate position on four vertex Detection zone reduces the detection range of harris angle point, further increases detection accuracy.
In addition, detection method described in the present embodiment, handles image to be detected with back projection by ingenious, it will be with label Object area color has the background obviously distinguished to filter, therefore makes interference very little of the detection process by complex background.
The detection method of quadrangle marker in a kind of image provided by the present invention is described in detail above.This Apply that a specific example illustrates the principle and implementation of the invention in text, the explanation of above example is only intended to It facilitates the understanding of the method and its core concept of the invention.It should be pointed out that for those skilled in the art, Without departing from the principles of the invention, can be with several improvements and modifications are made to the present invention, these improvement and modification are also fallen Enter in the protection scope of the claims in the present invention.

Claims (8)

1. the detection method of quadrangle marker in a kind of image characterized by comprising
Reversed throw is made to described image to be detected using the distribution of color in image to be detected in quadrangle label object area as template Shadow processing, obtains back projection result figure;
Edge detection is made to the back projection result figure, obtains edge detection results figure;
Using preset threshold as condition, the four edges edge line segment for the condition that meets is extracted from the edge detection results figure;
Calculate the intersection point of straight line where any two adjacent segments in the four edges edge line segment;
Four vertex of the quadrangle marker are obtained according to four obtained intersection points;
The intersection point for calculating straight line where any two adjacent segments in the four edges edge line segment, comprising:
When judging that four edge line segments all have slope, the slope of every edge line segment is calculated;
Four edge line segments are successively sorted according to the size of slope absolute value, are L1, L2, L3, L4;
Straight line and line segment L3, L4 where the intersection point and line segment L2 of straight line where calculating line segment L1 and the place line segment L3, L4 straight line The intersection point of place straight line obtains four intersection points;
The intersection point for calculating straight line where any two adjacent segments in the four edges edge line segment, further includes:
When judging one in four edge line segments, perhaps there is no calculate its excess-three item or two when slope for two lines section There are the slopes of the edge line segment of slope for item;
By three or two, there are the edge line segments of slope successively to sort according to the size of slope absolute value, be L1, L2, L3 or L1, L2;
When slope is not present in a line segment, the intersection point of straight line where calculating this line segment and the place line segment L2, L3 straight line, and The intersection point of straight line where line segment L1 and the place line segment L2, L3 straight line, obtains four intersection points;
When slope is not present in two lines section, the friendship with straight line where line segment L1, L2 respectively of straight line where calculating the two lines section Point obtains four intersection points.
2. detection method as described in claim 1, which is characterized in that described to mark object area with quadrangle in image to be detected Interior distribution of color is that template makees back projection processing to described image to be detected, before further include:
Noise reduction process is made to image to be detected application gaussian filtering, and carries out gradation conversion processing.
3. detection method as described in claim 1, which is characterized in that described to mark object area with quadrangle in image to be detected Interior distribution of color is that template makees back projection processing to described image to be detected, comprising:
Backprojection operations are made to described image to be detected as template using the distribution of color in quadrangle label object area, and Carry out binary conversion treatment and multiple closed operation processing.
4. detection method as described in claim 1, which is characterized in that it is described using preset threshold as condition, it is examined from the edge It surveys in result figure and extracts the four edges edge line segment for the condition that meets, comprising:
Using default accumulative threshold value as condition, the processing of accumulated probability type straight line Hough transformation is made to the edge detection results figure, is mentioned Obtain four edge line segments of the condition of satisfaction.
5. detection method as described in claim 1, which is characterized in that four intersection points that the basis obtains obtain four side Four vertex of shape marker, comprising:
The distance that any two intersection point is fastened in image coordinate in four intersection points is calculated, lowest distance value is obtained;
Respectively centered on four intersection points, four square inspections are set by side length of the half of the lowest distance value Survey region;
Detection has the harris angle point of maximum eigenvalue respectively in four square detection zones, is determined as described four Four vertex of side shape marker.
6. detection method as claimed in claim 5, which is characterized in that described to distinguish in four square detection zones The harris angle point with maximum eigenvalue is detected, four vertex of the quadrangle marker are determined as, comprising:
Sub-pixization processing is made to the four harris angle points detected, using processing result as the institute of the quadrangle marker State four vertex.
7. detection method as claimed in claim 5, which is characterized in that described to calculate any two intersection point in four intersection points In the distance that image coordinate is fastened, lowest distance value is obtained, comprising:
Calculated distance value is formed into distance set;
The distance value in the distance set is traversed, lowest distance value is obtained.
8. such as the described in any item detection methods of claim 1-7, which is characterized in that quadrangle described in described image to be detected The lenth ratio of the longest edge of marker and most short side is not more than 2.
CN201511008855.XA 2015-12-29 2015-12-29 The detection method of quadrangle marker in image Expired - Fee Related CN105654097B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201511008855.XA CN105654097B (en) 2015-12-29 2015-12-29 The detection method of quadrangle marker in image

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201511008855.XA CN105654097B (en) 2015-12-29 2015-12-29 The detection method of quadrangle marker in image

Publications (2)

Publication Number Publication Date
CN105654097A CN105654097A (en) 2016-06-08
CN105654097B true CN105654097B (en) 2019-04-16

Family

ID=56477280

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201511008855.XA Expired - Fee Related CN105654097B (en) 2015-12-29 2015-12-29 The detection method of quadrangle marker in image

Country Status (1)

Country Link
CN (1) CN105654097B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110097065A (en) * 2019-05-07 2019-08-06 厦门商集网络科技有限责任公司 A kind of line detection method and terminal based on FreeMan chain code

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106127778B (en) * 2016-06-27 2019-01-04 安徽慧视金瞳科技有限公司 It is a kind of for projecting the line detection method of interactive system
CN108665495B (en) * 2017-03-30 2021-11-26 展讯通信(上海)有限公司 Image processing method and device and mobile terminal
CN108304840B (en) * 2017-08-31 2022-11-11 腾讯科技(深圳)有限公司 Image data processing method and device
CN108109169B (en) * 2017-12-12 2021-12-14 深圳市神州云海智能科技有限公司 Pose estimation method and device based on rectangular identifier and robot
CN110136156B (en) * 2018-02-02 2020-12-01 北京三快在线科技有限公司 Polygonal area detection method and device
CN108734743A (en) * 2018-04-13 2018-11-02 深圳市商汤科技有限公司 Method, apparatus, medium and electronic equipment for demarcating photographic device
CN108805124B (en) * 2018-04-18 2019-10-18 北京嘀嘀无限科技发展有限公司 Image processing method and device, computer readable storage medium
CN109214396A (en) * 2018-08-24 2019-01-15 国网安徽省电力有限公司阜阳供电公司 A kind of industrial equipment image characteristic extracting method and equipment
CN109949211A (en) * 2019-03-07 2019-06-28 北京麦哲科技有限公司 A kind of rectangle file and picture cutting method and device
CN110018174B (en) * 2019-05-22 2021-10-22 合肥联宝信息技术有限公司 Method and device for detecting object appearance
CN110751631B (en) * 2019-10-10 2023-04-07 郑州大学 Quick and high-precision rectangle detection method
CN112132163B (en) * 2020-09-21 2024-04-02 杭州睿琪软件有限公司 Method, system and computer readable storage medium for identifying object edges

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101727581A (en) * 2009-12-10 2010-06-09 上海名图软件有限公司 Plate number tilt correcting method based on character pre-cut

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4801551B2 (en) * 2006-09-27 2011-10-26 富士通株式会社 Image area detection method, program, and apparatus

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101727581A (en) * 2009-12-10 2010-06-09 上海名图软件有限公司 Plate number tilt correcting method based on character pre-cut

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
四边形分类识别算法;黄柳;《信息技术》;20100630(第06期);第58-60页
基于Hough变换的四边形分类识别算法研究;刘智;《广西计算机学会2010年学术年会论文集》;20100930;第194页第1段-198页倒数第1段
直方图反向投影多目标检测优化算法;张辰 等;《计算机系统应用》;20140215;第23卷(第2期);第178页第1段-183页倒数第2段

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110097065A (en) * 2019-05-07 2019-08-06 厦门商集网络科技有限责任公司 A kind of line detection method and terminal based on FreeMan chain code
CN110097065B (en) * 2019-05-07 2021-09-10 厦门商集网络科技有限责任公司 Freeman chain code-based line detection method and terminal

Also Published As

Publication number Publication date
CN105654097A (en) 2016-06-08

Similar Documents

Publication Publication Date Title
CN105654097B (en) The detection method of quadrangle marker in image
CN107871124B (en) A kind of Remote Sensing Target detection method based on deep neural network
CN106485275B (en) A method of realizing that cover-plate glass is bonded with liquid crystal display positioning
CN105046245B (en) Video human face method of determination and evaluation
CN104408460B (en) A kind of lane detection and tracking detection method
CN102654902B (en) Contour vector feature-based embedded real-time image matching method
CN102704215B (en) Automatic cutting method of embroidery cloth based on combination of DST file parsing and machine vision
CN109900711A (en) Workpiece, defect detection method based on machine vision
CN108319949A (en) Mostly towards Ship Target Detection and recognition methods in a kind of high-resolution remote sensing image
CN108364280A (en) Structural cracks automation describes and width accurately measures method and apparatus
CN115564771B (en) Concrete crack identification method based on building foundation column
CN109993099A (en) A kind of lane line drawing recognition methods based on machine vision
CN108898047A (en) The pedestrian detection method and system of perception are blocked based on piecemeal
CN107392929B (en) Intelligent target detection and size measurement method based on human eye vision model
CN108537787A (en) A kind of quality judging method of facial image
CN106504262A (en) A kind of small tiles intelligent locating method of multiple features fusion
CN106067031A (en) Cooperate with the degree of depth learning network Machine Vision Recognition system based on artificial mechanism for correcting errors
CN113096121A (en) Pavement crack detection method and system based on cross fracture mechanics and image processing
CN104966295B (en) A kind of naval vessel extracting method based on wire-frame model
CN107292238A (en) Contour of building recognition methods with end point is constrained based on spatial topotaxy
CN108492306A (en) A kind of X-type Angular Point Extracting Method based on image outline
CN103699876A (en) Method and device for identifying vehicle number based on linear array CCD (Charge Coupled Device) images
CN103679724B (en) Slope approximant straight line detection method
CN108197540A (en) A kind of fire image Feature extraction and recognition method based on SURF
CN115876786B (en) Wedge-shaped welding spot detection method and motion control device

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
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20190416

Termination date: 20191229

CF01 Termination of patent right due to non-payment of annual fee