CN105279756A - Notch circular arc part dimension visual detection method based on self-adapting region division - Google Patents

Notch circular arc part dimension visual detection method based on self-adapting region division Download PDF

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CN105279756A
CN105279756A CN201510675507.1A CN201510675507A CN105279756A CN 105279756 A CN105279756 A CN 105279756A CN 201510675507 A CN201510675507 A CN 201510675507A CN 105279756 A CN105279756 A CN 105279756A
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circular arc
point
breach
straight line
region
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CN105279756B (en
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刘斌
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Emmett Intelligent Equipment Tianjin Co ltd
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Tianjin University of Technology
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/08—Measuring arrangements characterised by the use of optical techniques for measuring diameters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/08—Measuring arrangements characterised by the use of optical techniques for measuring diameters
    • G01B11/12—Measuring arrangements characterised by the use of optical techniques for measuring diameters internal diameters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/26—Measuring arrangements characterised by the use of optical techniques for measuring angles or tapers; for testing the alignment of axes
    • G01B11/27—Measuring arrangements characterised by the use of optical techniques for measuring angles or tapers; for testing the alignment of axes for testing the alignment of axes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30164—Workpiece; Machine component

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

Abstract

The invention relates to a notch circular arc part dimension visual detection method based on self-adapting region division. The method comprises the following steps of (1) image binaryzation; (2) notch circular arc contour outline extraction; (3) circular arc point region self-adapting division; (4) inner and outer circular arc point separation; and (5) inner and outer circle fitting, calculation of the distance between O<in> and O<out> (namely the concentricity), and result output. A notch circular arc part pattern is obtained in the following way that the contour outline of a detected notch circular arc part is illuminated by a light source lamp house; an industrial camera shoots the illuminated notch circular arc part and enables the part to be completely shown in an image collected by the industrial camera; and image data is transmitted to a computer through a data wire. The notch circular arc part dimension visual detection method based on the self-adapting region division provided by the invention has the advantages that the extraction is performed by aiming at parts with a notch smaller than the semicircular arc dimension, incomplete inner and outer circular arc part or inner and outer circle arc points; self-adapting regulation can be realized on the concrete image condition; relevant parameters are output; and the real-time continuous and accurate industrial production detection requirements can be met.

Description

Based on the breach circular arc accessory size visible detection method of adaptive region segmentation
Technical field
The invention belongs to computer realm, relate to image procossing, especially a kind of breach circular arc accessory size visible detection method based on adaptive region segmentation.
Background technology
Along with expanding economy, the requirement of industrial production line to production quality control is more and more higher, and product size develops to small scale, and metering method is from sampling observation to entirely examining transition online, more and more higher to the requirement of product measurement and detection.In the process of commercial production to flexibility, automation development, vision detection technology relies on it to have noncontact, real-time, online, precision high, many application are had, such as sheet parts rim detection, tool wear detection, circular arc part dimension measurement etc. in industrial detection.
Internal-and external diameter and concentricity are the important parameters of circular arc part, need in the industrial production to detect to ensure product quality in real time it.The circular arc part internal-and external diameter of view-based access control model detection technique and concentricity are measured, and first will ensure to extract part inside and outside circle accurately and reliably by image procossing.At present, the image processing algorithm that complete circular arc part internal-and external diameter and concentricity detect mainly is classified as two classes, and a class is based on Hough transform algorithm and innovatory algorithm, and another kind of is roundness measurement algorithm.Hough transform calculated amount is large, and roundness measurement algorithm is more suitable for the detection of circle in simple background image.But for having the breach being less than semi arch size, incomplete inside and outside circle acnode to extract, said method need regulate correlation parameter according to concrete image conditions, cannot meet in real time, continuously, accurately commercial production detect demand.
Through retrieval, find two sections of patent documentations about accessory size visible detection method, wherein, publication number is that the Chinese patent of CN102538672A discloses one based on CMOS machine vision part dimension measurement system and the measurement method of inspection, comprises image capture module, image processing module and dimensional measurement module; Described image capture module completes the image acquisition to captured parts profile edge; After image processing module carries out binaryzation, filtering process to the image gathered, then by rim detection, obtain the edge of part image; Dimensional measurement module is by feature extraction, the pixel value calculating surveyed target edges profile, and by demarcating, this pixel value then directly can reflect the size of part.Not only can realize appearance profile dimensional measurement, also can complete the inside diameter measurement of small through hole; The measurement of tubaeform slot bottom width can be realized after being equipped with special accessory;
Publication number is the method that the Chinese patent of CN103438803A discloses that computer vision technique accurately measures Rectangular Parts size across visual field, comprise: Rectangular Parts to be measured is positioned on rectangle reference block, axis of symmetry O and axis of symmetry O ' is parallel to each other or mutual α at a certain angle, and 0 °≤α <15 °; Guarantee that part does not exceed the edge of rectangle reference block; Utilize the length of rectangle reference block middle conductor EE ', FF ', GG ', HH ', EF, line segment EI, I in conjunction with utilizing the Computer Image Processing program that pre-sets accurately to detect ' E ', FJ, J ' F ', GK, K ' G ', HP, P ' H ' length, calculates the edge line size of Rectangular Parts to be measured.The precision of testing result of the present invention is high, and reduces the cost of detection system, can be applicable to accurately measure Rectangular Parts size.
Through contrast, the emphasis of above-mentioned patent documentation accurately measures the accessory size of comparatively rule, and not strong for the relevance grade of dimensional measurement of the circular arc part with certain radian.
Summary of the invention
The object of the invention is to overcome prior art deficiency, provide a kind of feature according to breach circular arc to complete the breach circular arc accessory size visible detection method based on adaptive region segmentation of internal-and external diameter and concentricity detection.
The technical solution used in the present invention is:
Based on a breach circular arc accessory size visible detection method for adaptive region segmentation, the steps include:
(1) image binaryzation: adopt OTSU algorithm (Da-Jin algorithm or maximum variance between clusters) to obtain optimum binary-state threshold, binary conversion treatment is carried out to the breach circular arc parts pattern got;
(2) breach arc profile extracts: adopt Canny algorithm to the breach circular arc image zooming-out profile point set after binaryzation, the point pixel coordinate extracted is designated as P i(x i, y i);
(3) arc point region adaptivity segmentation:
A. to point P i(x i, y i) carry out fitting a straight line, obtain straight line l 1: ax+by+c=0, the mid point P of all point of this straight-line pass c(x c, y c), breach arc profile is cut into two uneven regions by this straight line, if be complete circular arc, then approximate being divided equally by circular arc is two coordinates regionals by the straight line simulated, and the existence of breach then causes fitting a straight line to depart from one section of breach place;
B. according to formula d i=ax i+ by i+ c calculates each point P ito straight line l 1the distance having sign symbol, and to sort from small to large, in two points of minimum and ultimate range, the some P that absolute value distance is maximum m(x m, y m) be an external arc marginal point of pad indentation, there, straight line l 1in two regions of segmentation, with P mto straight line l 1distance is designated as coordinates regional A with positive and negative some region, and different positive and negative some region is designated as coordinates regional B 1(not comprising the inside and outside circle acnode region of breach);
C. according to straight line l 1equation coefficient, build and l 1perpendicular quadrature and cross P cthe straight line l of point 2:-bx+ay+d=0, wherein d=bx c-ay c, straight line l 2through breach, coordinates regional A is divided into two regions, the point in two regions is to l 2distance have positive and negative point, utilize this feature, in these two regions divided, search out straight line l respectively 2two some P that absolute value distance is nearest in1(x in1, y in1), P in2(x in2, y in2) and absolute value distance two some P farthest out1(x out1, y out1), P out2(x out2, y out2), P out1(x out1, y out1), P out2(x out2, y out2) be approximately external arc two points diametrically, calculate P out1(x out1, y out1) and P out2(x out2, y out2) mid point P o(x o, y o), this point, as approximate centre point, calculates P in1(x in1, y in1) and P in2(x in2, y in2) to straight line l 1nearest point, is designated as P in(x in, y in);
D. build and be parallel to straight line l 1and cross some P instraight line l 3: ax+by+e=0, wherein e=-ax in-by in, at straight line l in a-quadrant 1with straight line l 3between region be designated as B 2, point is in this region inside and outside circle acnode;
(4) inside and outside circle acnode is separated: calculate and determined to be in region B 1and B 2in inside and outside circular arc point to approximate centre point P odistance, and sort from small to large, Inner arc point is to P odistance and external arc point to P odistance have step, set suitable threshold value, according to this distance step feature, circular arc point inside and outside imperfect circle can be distinguished;
(5) inside and outside circle matching: internally external arc point carries out justifying matching respectively, circular diameter D in obtaining in, interior center of circle O inwith outside diameter D out, outer center of circle O out, calculate O inand O outbetween distance and concentricity, Output rusults.
And described breach circular arc parts pattern is illuminated by the profile of luminous source lamp box by tested breach circular arc part, and industrial camera takes the breach circular arc part be illuminated, ensure that part is intactly presented in the image of industrial camera collection; View data by data line transfer to computing machine.
And described tested breach circular arc part is positioned at above luminous source lamp box, and described industrial camera is positioned at directly over luminous source lamp box, and the data outgoing port of industrial camera is connected with computer data information input port.
And described coordinates regional A comprises the inside and outside circle acnode region of breach.
And, described B 1do not comprise the inside and outside circle acnode region of breach.
Advantage of the present invention and good effect are:
Breach circular arc accessory size visible detection method based on adaptive region segmentation provided by the invention extracts for having the breach being less than semi arch size, the breach of incomplete inside and outside circular arc part or inside and outside circle acnode, concrete image conditions can realize Automatic adjusument, export correlation parameter, can meet in real time, continuously, accurately commercial production detect demand.
Accompanying drawing explanation
Fig. 1 is the structural representation carried out tested breach circular arc part by the present invention in image acquisition process;
Fig. 2 is the assay maps of tested breach circular arc part;
Fig. 3 is process flow diagram of the present invention.
Embodiment
Below by accompanying drawing, the invention will be further described in conjunction with specific embodiments, and following examples are descriptive, is not determinate, can not limit protection scope of the present invention with this.
Based on a breach circular arc accessory size visible detection method for adaptive region segmentation, the method is illuminated by the profile of luminous source lamp box 4 by tested breach circular arc part 3; Industrial camera 2 takes the breach circular arc part be illuminated, and ensures that part is intactly presented in the image of industrial camera collection; View data by data line transfer to computing machine 1, computing machine runs the software of independent development, utilize image processing algorithm provided by the invention, complete the accurate extraction of inside and outside circle acnode, and respectively matching is justified to the inside and outside circle acnode extracted, thus obtain the numerical value of internal-and external diameter and concentricity, tested breach circular arc part is positioned at above luminous source lamp box, described industrial camera is positioned at directly over luminous source lamp box, the data outgoing port of industrial camera is connected with computer data information input port, adopts following steps to carry out algorithm by computing machine:
(1) image binaryzation: adopt OTSU algorithm (Da-Jin algorithm or maximum variance between clusters) to obtain optimum binary-state threshold, binary conversion treatment is carried out to the breach circular arc parts pattern got;
(2) breach arc profile extracts: adopt Canny algorithm to the breach circular arc image zooming-out profile point set after binaryzation, the point pixel coordinate extracted is designated as P i(x i, y i);
(3) arc point region adaptivity segmentation:
A. to point P i(x i, y i) carry out fitting a straight line, obtain straight line l 1: ax+by+c=0, the mid point P of all point of this straight-line pass c(x c, y c), breach arc profile is cut into two uneven regions by this straight line, if be complete circular arc, then approximate being divided equally by circular arc is two coordinates regionals by the straight line simulated, and the existence of breach then causes fitting a straight line to depart from one section of breach place;
B. according to formula d i=ax i+ by i+ c calculates each point P ito straight line l 1the distance having sign symbol, and to sort from small to large, in two points of minimum and ultimate range, the some P that absolute value distance is maximum m(x m, y m) be an external arc marginal point of pad indentation, there, straight line l 1in two regions of segmentation, with P mto straight line l 1distance is designated as coordinates regional A (comprising the inside and outside circle acnode region of breach) with positive and negative some region, and different positive and negative some region is designated as coordinates regional B 1(not comprising the inside and outside circle acnode region of breach);
C. according to straight line l 1equation coefficient, build and l 1perpendicular quadrature and cross P cthe straight line l of point 2:-bx+ay+d=0, wherein d=bx c-ay c, straight line l 2through breach, coordinates regional A is divided into two regions, the point in two regions is to l 2distance have positive and negative point, utilize this feature, in these two regions divided, search out straight line l respectively 2two some P that absolute value distance is nearest in1(x in1, y in1), P in2(x in2, y in2) and absolute value distance two some P farthest out1(x out1, y out1), P out2(x out2, y out2), P out1(x out1, y out1), P out2(x out2, y out2) be approximately external arc two points diametrically, calculate P out1(x out1, y out1) and P out2(x out2, y out2) mid point P o(x o, y o), this point, as approximate centre point, calculates P in1(x in1, y in1) and P in2(x in2, y in2) to straight line l 1nearest point, is designated as P in(x in, y in);
D. build and be parallel to straight line l 1and cross some P instraight line l 3: ax+by+e=0, wherein e=-ax in-by in, at straight line l in a-quadrant 1with straight line l 3between region be designated as B 2, point is in this region inside and outside circle acnode;
(4) inside and outside circle acnode is separated: calculate and determined to be in region B 1and B 2in inside and outside circular arc point to approximate centre point P odistance, and sort from small to large, Inner arc point is to P odistance and external arc point to P odistance have step, set suitable threshold value, according to this distance step feature, circular arc point inside and outside imperfect circle can be distinguished;
(5) inside and outside circle matching: internally external arc point carries out justifying matching respectively, circular diameter D in obtaining in, interior center of circle O inwith outside diameter D out, outer center of circle O out, calculate O inand O outbetween distance and concentricity, Output rusults.
Although disclose embodiments of the invention and accompanying drawing for the purpose of illustration, but it will be appreciated by those skilled in the art that: in the spirit and scope not departing from the present invention and claims, various replacement, change and amendment are all possible, therefore, scope of the present invention is not limited to the content disclosed in embodiment and accompanying drawing.

Claims (5)

1., based on a breach circular arc accessory size visible detection method for adaptive region segmentation, it is characterized in that: the steps include:
(1) image binaryzation: adopt OTSU algorithm to obtain optimum binary-state threshold, binary conversion treatment is carried out to the breach circular arc parts pattern got;
(2) breach arc profile extracts: adopt Canny algorithm to the breach circular arc image zooming-out profile point set after binaryzation, the point pixel coordinate extracted is designated as P i(x i, y i);
(3) arc point region adaptivity segmentation:
A. to point P i(x i, y i) carry out fitting a straight line, obtain straight line l 1: ax+by+c=0, the mid point P of all point of this straight-line pass c(x c, y c), breach arc profile is cut into two uneven regions by this straight line, if be complete circular arc, then approximate being divided equally by circular arc is two coordinates regionals by the straight line simulated, and the existence of breach then causes fitting a straight line to depart from one section of breach place;
B. according to formula d i=ax i+ by i+ c calculates each point P ito straight line l 1the distance having sign symbol, and to sort from small to large, in two points of minimum and ultimate range, the some P that absolute value distance is maximum m(x m, y m) be an external arc marginal point of pad indentation, there, straight line l 1in two regions of segmentation, with P mto straight line l 1distance is designated as coordinates regional A with positive and negative some region, and different positive and negative some region is designated as coordinates regional B 1(not comprising the inside and outside circle acnode region of breach);
C. according to straight line l 1equation coefficient, build and l 1perpendicular quadrature and cross P cthe straight line l of point 2:-bx+ay+d=0, wherein d=bx c-ay c, straight line l 2through breach, coordinates regional A is divided into two regions, the point in two regions is to l 2distance have positive and negative point, utilize this feature, in these two regions divided, search out straight line l respectively 2two some P that absolute value distance is nearest in1(x in1, y in1), P in2(x in2, y in2) and absolute value distance two some P farthest out1(x out1, y out1), P out2(x out2, y out2), P out1(x out1, y out1), P out2(x out2, y out2) be approximately external arc two points diametrically, calculate P out1(x out1, y out1) and P out2(x out2, y out2) mid point P o(x o, y o), this point, as approximate centre point, calculates P in1(x in1, y in1) and P in2(x in2, y in2) to straight line l 1nearest point, is designated as P in(x in, y in);
D. build and be parallel to straight line l 1and cross some P instraight line l 3: ax+by+e=0, wherein e=-ax in-by in, at straight line l in a-quadrant 1with straight line l 3between region be designated as B 2, point is in this region inside and outside circle acnode;
(4) inside and outside circle acnode is separated: calculate and determined to be in region B 1and B 2in inside and outside circular arc point to approximate centre point P odistance, and sort from small to large, Inner arc point is to P odistance and external arc point to P odistance have step, set suitable threshold value, according to this distance step feature, circular arc point inside and outside imperfect circle can be distinguished;
(5) inside and outside circle matching: internally external arc point carries out justifying matching respectively, circular diameter D in obtaining in, interior center of circle O inwith outside diameter D out, outer center of circle O out, calculate O inand O outbetween distance and concentricity, Output rusults.
2. the breach circular arc accessory size visible detection method based on adaptive region segmentation according to claim 1, it is characterized in that: described breach circular arc parts pattern is illuminated by the profile of luminous source lamp box by tested breach circular arc part, industrial camera takes the breach circular arc part be illuminated, and ensures that part is intactly presented in the image of industrial camera collection; View data by data line transfer to computing machine.
3. the breach circular arc accessory size visible detection method based on adaptive region segmentation according to claim 1, it is characterized in that: described tested breach circular arc part is positioned at above luminous source lamp box, described industrial camera is positioned at directly over luminous source lamp box, and the data outgoing port of industrial camera is connected with computer data information input port.
4. the breach circular arc accessory size visible detection method based on adaptive region segmentation according to claim 1, is characterized in that: described coordinates regional A comprises the inside and outside circle acnode region of breach.
5. the breach circular arc accessory size visible detection method based on adaptive region segmentation according to claim 1, is characterized in that: described B 1do not comprise the inside and outside circle acnode region of breach.
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