CN111861997B - Method, system and device for detecting circular hole size of patterned plate - Google Patents
Method, system and device for detecting circular hole size of patterned plate Download PDFInfo
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- 238000001914 filtration Methods 0.000 claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 11
- 238000007670 refining Methods 0.000 claims abstract description 7
- 238000000605 extraction Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 9
- 238000002372 labelling Methods 0.000 claims description 6
- 238000012847 principal component analysis method Methods 0.000 claims description 4
- 238000003672 processing method Methods 0.000 claims description 4
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- 238000010276 construction Methods 0.000 abstract 1
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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
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- G06T5/70—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
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- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20061—Hough transform
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- 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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The application discloses a method, a system and a device for detecting the size of round holes of a pattern plate, wherein the method comprises the following steps: acquiring an input image and performing filtering denoising treatment on the input image to obtain a denoising image; detecting the denoising image based on a Hough circle detection method to obtain a first region; extracting curve segments of the first region and generating a plurality of candidate circles; screening a plurality of candidate circles, and refining the candidate circles through a rapid least square method to obtain final candidate circles; and carrying out integrity analysis on the final candidate circle, and confirming that the final circle is obtained. The system comprises: the device comprises a denoising module, a detection module, a curve segment module, a refinement module and a confirmation module. The device comprises a memory and a processor for executing the safety construction method based on the illegal action identification. By using the method and the device, the round holes in the image are identified under the condition of serious pattern interference. The method, the system and the device for detecting the circular hole size of the pattern plate can be widely applied to the field of image detection.
Description
Technical Field
The application relates to the field of image detection, in particular to a method, a system and a device for detecting the size of round holes of a pattern plate.
Background
Due to the high development of industrial automation, factories are beginning to introduce automated, non-contact workpiece size detection methods in order to increase workpiece detection efficiency. However, the existing workpiece size detection method has the problems of low recognition degree and higher algorithm complexity under the condition of serious pattern interference.
Disclosure of Invention
In order to solve the technical problems, the application aims to provide a method, a system and a device for detecting the size of round holes of a pattern plate, which are used for identifying round holes in an image under the condition of serious pattern interference.
The first technical scheme adopted by the application is as follows: the method for detecting the size of the circular hole of the checkered plate comprises the following steps:
acquiring an input image and performing filtering denoising treatment on the input image to obtain a denoising image;
detecting the denoising image based on a Hough circle detection method to obtain a first region;
extracting a curve segment of the first region, screening the curve segment and generating a plurality of candidate circles;
screening a plurality of candidate circles through a mean shift clustering mode, and refining through a rapid least square method to obtain final candidate circles;
and carrying out integrity analysis on the final candidate circle, and confirming that the final circle is obtained.
Further, the method further comprises the following steps:
and outputting the parameters of the final circle and labeling and displaying on the input image.
Further, the processing method for performing filtering denoising processing on the input image comprises histogram stretching, gamma correction, gaussian filtering, mean filtering and median filtering.
Further, the step of extracting a curve segment of the first region, screening the curve segment, and generating a plurality of candidate circles specifically includes:
extracting a curve segment of the first region based on an LSD line segment extraction algorithm;
and screening the curve segments of the first area to obtain curve segments which can be combined into a circle and generate a plurality of candidate circles.
Further, the step of extracting the curve segment of the first region based on the LSD line segment extraction algorithm specifically includes:
calculating the gradient of each pixel in the first area, and removing points with gradient amplitude smaller than a first preset value;
and obtaining an arc line through a principal component analysis method to obtain a curve segment of the first region.
Further, the step of screening the curve segments of the first region to obtain curve segments that may be combined into a circle and generate a plurality of candidate circles specifically includes:
obtaining an arc line according to the curve segment of the first area;
selecting a pair of matched arcs according to the arcs to enable the area pointed by the arc centers of the pair of arcs to contain the other side;
confirming that the difference value of the distances between the successfully paired arcs and the intersection points of the corresponding arc bisectors is smaller than a second preset value, and obtaining a candidate circle;
the screening step is repeated to generate a plurality of candidate circles.
Further, the step of performing integrity analysis on the final candidate circle and confirming that the final circle is obtained specifically includes:
calculating the number of pixels corresponding to the side length of the complete circle according to the radius of the final candidate circle to obtain a first number of pixels;
calculating the number of pixels corresponding to the successfully paired arcs to obtain a second number of pixels;
and judging that the ratio of the number of the second pixels to the number of the first pixels is larger than a third preset value, and obtaining a first final candidate circle ratio.
Repeating the steps of calculating the pixel and the ratio until the ratio of all final candidate circles is obtained;
and taking the final candidate circle with the largest ratio as a final recognition result to obtain a final circle.
Further, the step of outputting the parameters of the final circle and labeling and displaying the parameters on the input image specifically comprises the following steps:
acquiring the center position and radius of a final circle and converting the center position and radius into parameter values of corresponding units through pixel ratios;
and uploading the parameter value feedback and displaying the final circle mark on the input image.
The second technical scheme adopted by the application is that the system for detecting the circular hole size of the checkered plate comprises:
the denoising module is used for acquiring an input image and performing filtering denoising processing on the input image to obtain a denoised image;
the detection module is used for detecting the denoising image based on the Hough circle detection method to obtain a first area;
the curve segment module is used for extracting a curve segment of the first area, screening the curve segment and generating a plurality of candidate circles;
the refinement module is used for filtering a plurality of candidate circles through a mean shift clustering mode and then refining the candidate circles through a rapid least square method to obtain final candidate circles;
and the confirming module is used for carrying out integrity analysis on the final candidate circle and confirming to obtain the final circle.
The third technical scheme adopted by the application is that the device for detecting the circular hole size of the checkered plate comprises:
at least one processor;
at least one memory for storing at least one program;
and when the at least one program is executed by the at least one processor, the at least one processor is enabled to realize the method for detecting the size of the circular holes of the checkered plate material.
The method and the system have the beneficial effects that: after the first area containing the round holes is obtained through preliminary detection, the calculated amount of an algorithm can be reduced, candidate circles are generated according to curve segments in the first area, final round holes are obtained through recognition from the candidate circles, and the round holes in the image are recognized under the condition that pattern interference is serious.
Drawings
FIG. 1 is a flow chart of steps of a method for detecting the size of round holes of a pattern plate according to the present application;
FIG. 2 is a block diagram of a system for detecting the size of circular holes in a pattern plate according to the present application;
FIG. 3 is a schematic view of a first region obtained in an embodiment of the application;
FIG. 4 is a schematic representation of the resulting final circle in an embodiment of the present application.
Detailed Description
The application will now be described in further detail with reference to the drawings and to specific examples. The step numbers in the following embodiments are set for convenience of illustration only, and the order between the steps is not limited in any way, and the execution order of the steps in the embodiments may be adaptively adjusted according to the understanding of those skilled in the art.
As shown in fig. 1, the application provides a method for detecting the size of round holes of a pattern plate, which comprises the following steps:
s101, acquiring an input image and performing filtering denoising processing on the input image to obtain a denoised image.
S102, detecting a denoising image based on a Hough circle detection method to obtain a first area;
specifically, a hough circle detection method is used to obtain a smaller region of interest including a circular hole, a first region is obtained, the region of interest is represented in a frame as an identified region of interest in reference to fig. 3, and the region is divided into a first region, a second region, and the like in the processing order.
S103, extracting a curve segment of the first area, screening the curve segment and generating a plurality of candidate circles;
specifically, the curve segments are matched according to the curve segments in the first area, and a candidate circle is generated according to the matched curve segments.
S104, screening a plurality of candidate circles through a mean shift clustering mode, and refining through a rapid least square method to obtain final candidate circles;
s105, carrying out integrity analysis on the final candidate circle, and confirming that the final circle is obtained.
Further as a preferred embodiment of the method, further comprising:
s106, outputting parameters of the final circle and labeling and displaying on the input image.
Further as a preferred embodiment of the method, the processing method for performing filtering denoising processing on the input image includes histogram stretching, gamma correction, gaussian filtering, mean filtering and median filtering.
Specifically, the processing method of performing the filtering denoising processing on the input image includes, but is not limited to, the methods listed above.
Further as a preferred embodiment of the method, the step of extracting a curve segment of the first region, screening the curve segment, and generating a plurality of candidate circles specifically includes:
extracting a curve segment of the first region based on an LSD line segment extraction algorithm;
and screening the curve segments of the first area to obtain curve segments which can be combined into a circle and generate a plurality of candidate circles.
Further as a preferred embodiment of the method, the step of extracting the curve segment of the first region based on the LSD line segment extraction algorithm specifically includes:
calculating the gradient of each pixel in the first area, and removing points with gradient amplitude smaller than a first preset value;
and obtaining an arc line through a principal component analysis method to obtain a curve segment of the first region.
Specifically, the point with too small gradient is removed, firstly, the influence of noise can be reduced, the gradient amplitude is basically calculated and mainly considered to be at the pixel point with the circular arc edge, and the color difference of the edge is larger; secondly, unnecessary calculation amount is reduced; principal component analysis belongs to part of the content in the LSD line segment extraction algorithm.
Further as a preferred embodiment of the method, the step of screening the curve segments of the first region to obtain curve segments that may be combined into a circle and generate a plurality of candidate circles specifically includes:
obtaining an arc line according to the curve segment of the first area;
selecting a pair of matched arcs according to the arcs to enable the area pointed by the arc centers of the pair of arcs to contain the other side;
confirming that the difference value of the distances between the successfully paired arcs and the intersection points of the corresponding arc bisectors is smaller than a second preset value, and obtaining a candidate circle;
the screening step is repeated to generate a plurality of candidate circles.
Specifically, judging whether the difference of distances between the successfully paired arcs and the intersection point O of the arc bisectors is smaller than a certain tolerance, if the difference is smaller, considering that the arcs are truly on the same circle, obtaining a candidate circle, repeating the steps of obtaining the paired arcs and judging whether the difference of distances between the paired arcs and the intersection point O of the arc bisectors is smaller than a certain tolerance until all the arcs are paired, and generating a plurality of candidate circles.
Further as a preferred embodiment of the method, the step of performing integrity analysis on the final candidate circle and confirming that the final circle is obtained specifically includes:
calculating the number of pixels corresponding to the side length of the complete circle according to the radius of the final candidate circle to obtain a first number of pixels;
calculating the number of pixels corresponding to the successfully paired arcs to obtain a second number of pixels;
and judging that the ratio of the number of the second pixels to the number of the first pixels is larger than a third preset value, and obtaining a first final candidate circle ratio.
Repeating the steps of calculating the pixel and the ratio until the ratio of all final candidate circles is obtained;
and taking the final candidate circle with the largest ratio as a final recognition result to obtain a final circle.
Specifically, the first preset value, the second preset value and the third preset value are determined as required. And calculating the number A of pixels corresponding to the side length of a complete circle according to the radius of the candidate circle, calculating the number B of pixels occupied by the matching arc line, and considering that the characteristic of a circle is met if the ratio of the number B to the number A is larger than a preset value. And in addition, taking the final candidate circle with the largest ratio as a final recognition result to obtain a final circle.
Further as a preferred embodiment of the method, the step of outputting the parameters of the final circle and labeling and displaying on the input image specifically includes:
acquiring the center position and radius of a final circle and converting the center position and radius into parameter values of corresponding units through pixel ratios;
and uploading the parameter value feedback and displaying the final circle mark on the input image.
Specifically, the circle center position and the circle center radius of the final circle are obtained, the circle center position and the circle center radius are converted into values in millimeter units through pixel ratios and returned to the user, meanwhile, corresponding circles are drawn on the input image and displayed to the user, and referring to fig. 4, the final circle is obtained and marked on the input image and displayed.
Compared with the traditional detection method, the application provides a rapid, efficient and non-contact size detection method. The existing method requires higher image quality of the workpiece, and the method has the advantages of wide application range, accurate detection result and stable performance. In industrial detection, particularly under the condition of different patterns of plates, the conventional method has low recognition accuracy, but the method can still provide circle detection with error within millimeter level, and the detection time is shorter than that of the conventional method.
The application provides another specific embodiment, as shown in fig. 2, a system for detecting the circular hole size of a pattern plate, which comprises the following modules:
the denoising module is used for acquiring an input image and performing filtering denoising processing on the input image to obtain a denoised image;
the detection module is used for detecting the denoising image based on the Hough circle detection method to obtain a first area;
the curve segment module is used for extracting a curve segment of the first area, screening the curve segment and generating a plurality of candidate circles;
the refinement module is used for filtering a plurality of candidate circles through a mean shift clustering mode and then refining the candidate circles through a rapid least square method to obtain final candidate circles;
and the confirming module is used for carrying out integrity analysis on the final candidate circle and confirming to obtain the final circle.
Further as a preferred embodiment of the present system, further comprising:
and the display module is used for outputting the parameters of the final circle and labeling and displaying on the input image.
Further as a preferred embodiment of the present system, the curve segment module further comprises:
the line segment extraction submodule is used for extracting a curve segment of the first area based on an LSD line segment extraction algorithm;
and the candidate circle submodule is used for screening the curve segments of the first area to obtain curve segments which can be combined into circles and generate a plurality of candidate circles.
Further as a preferred embodiment of the system, the confirmation module further comprises:
the first pixel submodule is used for calculating the number of pixels corresponding to the side length of the complete circle according to the radius of the final candidate circle to obtain the first number of pixels;
the second pixel submodule is used for calculating the number of pixels corresponding to the successfully paired arcs to obtain the second number of pixels;
and the ratio submodule is used for judging that the ratio of the number of the second pixels to the number of the first pixels is larger than a preset value to obtain a first final candidate circle ratio.
The repeating submodule is used for repeatedly calculating the pixel and the ratio until the ratio of all final candidate circles is obtained;
and the final circle sub-module is used for taking the final candidate circle with the largest ratio as a final recognition result to obtain a final circle.
Further as a preferred embodiment of the present system, the display module further includes:
the conversion sub-module is used for acquiring the circle center position and the radius of the final circle and converting the circle center position and the radius into parameter values of corresponding units through pixel ratios;
and the uploading sub-module is used for uploading the parameter value feedback and displaying the final circle mark on the input image.
The content in the method embodiment is applicable to the system embodiment, the functions specifically realized by the system embodiment are the same as those of the method embodiment, and the achieved beneficial effects are the same as those of the method embodiment.
Pattern plate round hole size detection device:
at least one processor;
at least one memory for storing at least one program;
the at least one program, when executed by the at least one processor, causes the at least one processor to implement a method for detecting the size of circular holes in a checkered plate material as described above.
The content in the method embodiment is applicable to the embodiment of the device, and the functions specifically realized by the embodiment of the device are the same as those of the method embodiment, and the obtained beneficial effects are the same as those of the method embodiment.
While the preferred embodiment of the present application has been described in detail, the application is not limited to the embodiment, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit of the application, and these equivalent modifications and substitutions are intended to be included in the scope of the present application as defined in the appended claims.
Claims (6)
1. The method for detecting the size of the circular hole of the checkered plate is characterized by comprising the following steps of:
acquiring an input image and performing filtering denoising treatment on the input image to obtain a denoising image;
detecting the denoising image based on a Hough circle detection method to obtain a first region;
extracting a curve segment of the first region, screening the curve segment and generating a plurality of candidate circles;
screening a plurality of candidate circles through a mean shift clustering mode, and refining through a rapid least square method to obtain final candidate circles;
carrying out integrity analysis on the final candidate circle, and confirming to obtain a final circle;
the step of extracting a curve segment of the first region, screening the curve segment and generating a plurality of candidate circles specifically includes:
extracting a curve segment of the first region based on an LSD line segment extraction algorithm;
screening the curve segments of the first area to obtain curve segments combined into a circle and generating a plurality of candidate circles;
the step of extracting the curve segment of the first region based on the LSD line segment extraction algorithm specifically comprises the following steps:
calculating the gradient of each pixel in the first area, and removing points with gradient amplitude smaller than a first preset value;
obtaining an arc line through a principal component analysis method to obtain a curve segment of a first area;
the step of screening the curve segments of the first region to obtain curve segments combined into a circle and generating a plurality of candidate circles specifically includes:
obtaining an arc line according to the curve segment of the first area;
selecting a pair of matched arcs according to the arcs to enable the area pointed by the arc centers of the pair of arcs to contain the other side;
confirming that the difference value of the distances between the successfully paired arcs and the intersection points of the corresponding arc bisectors is smaller than a second preset value, and obtaining a candidate circle;
repeating the screening step to generate a plurality of candidate circles;
the step of carrying out integrity analysis on the final candidate circle and confirming to obtain the final circle specifically comprises the following steps:
calculating the number of pixels corresponding to the side length of the complete circle according to the radius of the final candidate circle to obtain a first number of pixels;
calculating the number of pixels corresponding to the successfully paired arcs to obtain a second number of pixels;
judging that the ratio of the number of the second pixels to the number of the first pixels is larger than a third preset value, and obtaining a first final candidate circle ratio;
repeating the steps of calculating the pixel and the ratio until the ratio of all final candidate circles is obtained;
and taking the final candidate circle with the largest ratio as a final recognition result to obtain a final circle.
2. The method for detecting the circular hole size of the checkered plate according to claim 1, further comprising:
and outputting the parameters of the final circle and labeling and displaying on the input image.
3. The method for detecting the circular hole size of the checkered plate according to claim 1, wherein the processing method for performing filtering and denoising processing on the input image comprises histogram stretching, gamma correction, gaussian filtering, mean filtering and median filtering.
4. The method for detecting the circular hole size of the checkered plate according to claim 2, wherein the step of outputting the parameters of the final circle and displaying the parameters on the input image is marked, and the method specifically comprises the following steps:
acquiring the center position and radius of a final circle and converting the center position and radius into parameter values of corresponding units through pixel ratios;
and uploading the parameter value feedback and displaying the final circle mark on the input image.
5. The utility model provides a pattern board round hole size detecting system which characterized in that includes following module:
the denoising module is used for acquiring an input image and performing filtering denoising processing on the input image to obtain a denoised image;
the detection module is used for detecting the denoising image based on the Hough circle detection method to obtain a first area;
the curve segment module is used for extracting a curve segment of the first area, screening the curve segment and generating a plurality of candidate circles;
the refinement module is used for filtering a plurality of candidate circles through a mean shift clustering mode and then refining the candidate circles through a rapid least square method to obtain final candidate circles;
the confirming module is used for carrying out integrity analysis on the final candidate circle and confirming to obtain the final circle;
the step of extracting a curve segment of the first region, screening the curve segment and generating a plurality of candidate circles specifically includes:
extracting a curve segment of the first region based on an LSD line segment extraction algorithm;
screening the curve segments of the first area to obtain curve segments combined into a circle and generating a plurality of candidate circles;
the step of extracting the curve segment of the first region based on the LSD line segment extraction algorithm specifically comprises the following steps:
calculating the gradient of each pixel in the first area, and removing points with gradient amplitude smaller than a first preset value;
obtaining an arc line through a principal component analysis method to obtain a curve segment of a first area;
the step of screening the curve segments of the first region to obtain curve segments combined into a circle and generating a plurality of candidate circles specifically includes:
obtaining an arc line according to the curve segment of the first area;
selecting a pair of matched arcs according to the arcs to enable the area pointed by the arc centers of the pair of arcs to contain the other side;
confirming that the difference value of the distances between the successfully paired arcs and the intersection points of the corresponding arc bisectors is smaller than a second preset value, and obtaining a candidate circle;
repeating the screening step to generate a plurality of candidate circles;
the step of carrying out integrity analysis on the final candidate circle and confirming to obtain the final circle specifically comprises the following steps:
calculating the number of pixels corresponding to the side length of the complete circle according to the radius of the final candidate circle to obtain a first number of pixels;
calculating the number of pixels corresponding to the successfully paired arcs to obtain a second number of pixels;
judging that the ratio of the number of the second pixels to the number of the first pixels is larger than a third preset value, and obtaining a first final candidate circle ratio;
repeating the steps of calculating the pixel and the ratio until the ratio of all final candidate circles is obtained;
and taking the final candidate circle with the largest ratio as a final recognition result to obtain a final circle.
6. The utility model provides a pattern board round hole size detection device which characterized in that includes:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor is caused to implement a method for detecting the size of circular holes of a checkered plate material according to any one of claims 1 to 4.
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| 复杂背景图像下基于边缘点校验的圆检测方法;李军;程健;;计算机工程(03);第264-268页 * |
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