CN111861997A - Method, system and device for detecting circular hole size of pattern board - Google Patents
Method, system and device for detecting circular hole size of pattern board Download PDFInfo
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- CN111861997A CN111861997A CN202010584091.3A CN202010584091A CN111861997A CN 111861997 A CN111861997 A CN 111861997A CN 202010584091 A CN202010584091 A CN 202010584091A CN 111861997 A CN111861997 A CN 111861997A
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Abstract
The invention discloses a method, a system and a device for detecting the size of a circular hole of a pattern board, wherein the method comprises the following steps: acquiring an input image and carrying out filtering and denoising processing on the input image to obtain a denoised image; detecting the denoised image based on a Hough circle detection method to obtain a first region; extracting curve segments of the first area and generating a plurality of candidate circles; screening a plurality of candidate circles, and refining the candidate circles by a fast least square method to obtain final candidate circles; and carrying out integrity analysis on the final candidate circle, and confirming to obtain the final circle. The system comprises: the device comprises a denoising module, a detection module, a curve segment module, a refining module and a confirmation module. The device comprises a memory and a processor for executing the safety construction method based on the violation behavior identification. By using the method and the device, the round holes in the image can be identified under the condition of serious pattern interference. The method, the system and the device for detecting the size of the circular hole of the pattern board can be widely applied to the field of image detection.
Description
Technical Field
The invention relates to the field of image detection, in particular to a method, a system and a device for detecting the size of a circular hole of a pattern board.
Background
Due to the high development of industrial automation, factories began to introduce automated, non-contact workpiece dimension inspection methods in order to improve workpiece inspection efficiency. However, the existing workpiece size detection method has the problems of low recognition degree and high algorithm complexity under the condition of serious pattern interference.
Disclosure of Invention
In order to solve the above technical problems, an object of the present invention is to provide a method, a system and a device for detecting the size of a circular hole in a patterned board, so as to identify the circular hole in an image under the condition of serious pattern interference.
The first technical scheme adopted by the invention is as follows: a method for detecting the size of a circular hole of a pattern board comprises the following steps:
acquiring an input image and carrying out filtering and denoising processing on the input image to obtain a denoised image;
detecting the denoised image based on a Hough circle detection method to obtain a first region;
extracting curve segments of the first area, screening the curve segments and generating a plurality of candidate circles;
screening a plurality of candidate circles in a mean shift clustering mode, and refining the candidate circles by a fast least square method to obtain final candidate circles;
and carrying out integrity analysis on the final candidate circle, and confirming to obtain the final circle.
Further, still include:
and outputting the parameters of the final circle and marking and displaying on the input image.
Further, the processing method for filtering and denoising the input image comprises histogram stretching, Gamma correction, Gaussian filtering, mean filtering and median filtering.
Further, the step of extracting the curve segment of the first region, screening the curve segments, and generating a plurality of candidate circles specifically includes:
extracting a curve segment of the first area based on an LSD (least squares) segment extraction algorithm;
and screening the curve segments of the first area to obtain the curve segments which are possibly 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 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 by a principal component analysis method to obtain a curve segment of the first area.
Further, the step of screening the curve segments in the first area to obtain the curve segments that may be 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, so that the areas pointed by the arc centers of the pair of arcs contain each other;
Confirming that the difference value of the distance of the intersection points of the successfully matched arc lines relative to the corresponding arc bisector 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 matched arc lines 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 greater than a third preset value, and obtaining a first final candidate circle ratio.
Repeating the step of calculating the pixel and the ratio until the ratio of all the 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 displaying the parameters on the input image in a labeling manner specifically includes:
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 a pixel ratio;
and uploading the parameter value feedback and displaying the final circle label on the input image.
The second technical scheme adopted by the invention is that a system for detecting the size of a circular hole of a pattern board comprises:
the denoising module is used for acquiring an input image and carrying out filtering denoising processing on the input image to obtain a denoised image;
the detection module is used for detecting the denoised image based on a Hough circle detection method to obtain a first region;
the curve segment module is used for extracting curve segments of the first area, screening the curve segments and generating a plurality of candidate circles;
the refining module is used for screening a plurality of candidate circles in a mean shift clustering mode and then refining the candidate circles through a fast least square method to obtain final candidate circles;
and the confirmation 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 invention is that the device for detecting the size of the circular hole of the pattern board comprises:
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 may implement the method for detecting the size of the circular hole in the pattern board according to any one of claims 1 to 7.
The method and the system have the beneficial effects that: after the first region containing the round holes is obtained through preliminary detection, the calculation amount of an algorithm can be reduced, candidate circles are generated according to curve segments in the first region, the final round holes are obtained through recognition in the candidate circles, and the round holes in the image can be recognized under the condition that pattern interference is serious.
Drawings
FIG. 1 is a flow chart illustrating the steps of a method for detecting the size of a circular hole in a pattern board according to the present invention;
FIG. 2 is a block diagram of a circular hole size detection system for a pattern board according to the present invention;
FIG. 3 is a schematic illustration of a first region obtained in an embodiment of the present invention;
fig. 4 is a schematic diagram of the resulting circle in an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and the specific embodiments. The step numbers in the following embodiments are provided only for convenience of illustration, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
As shown in fig. 1, the invention provides a method for detecting the size of a circular hole of a pattern board, which comprises the following steps:
s101, obtaining an input image and carrying out filtering and denoising processing on the input image to obtain a denoised image.
S102, detecting the denoised image based on a Hough circle detection method to obtain a first region;
specifically, a hough circle detection method is used to obtain a smaller region of interest including a circular hole, and a first region is obtained, and referring to fig. 3, the region of interest identified in a frame is divided into a first region, a second region, and the like according to a processing sequence.
S103, extracting curve segments of the first area, screening the curve segments and generating a plurality of candidate circles;
specifically, from the curve segments within the first region, the curve segments are matched and candidate circles are generated from the matched curve segments.
S104, screening a plurality of candidate circles in a mean shift clustering mode, and refining the candidate circles through a fast least square method to obtain final candidate circles;
and S105, carrying out integrity analysis on the final candidate circle, and confirming to obtain the final circle.
Further as a preferred embodiment of the method, the method further comprises:
and S106, outputting the parameters of the final circle and marking and displaying on the input image.
Further, as a preferred embodiment of the method, the processing method for performing filtering and denoising processing on the input image includes histogram stretching, Gamma correction, gaussian filtering, mean filtering, and median filtering.
Specifically, the processing method for performing filtering and denoising processing on the input image includes, but is not limited to, the above-listed methods.
Further, as a preferred embodiment of the method, the step of extracting the curve segment of the first region, screening the curve segments, and generating a plurality of candidate circles specifically includes:
extracting a curve segment of the first area based on an LSD (least squares) segment extraction algorithm;
And screening the curve segments of the first area to obtain the curve segments which are possibly 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 by a principal component analysis method to obtain a curve segment of the first area.
Specifically, removing points with too small gradient can reduce the influence of noise, and essentially, calculating the gradient amplitude mainly considers that the color difference of the edge is larger at the pixel point with the arc edge; secondly, unnecessary calculation amount is reduced; the principal component analysis method belongs to part of the LSD line segment extraction algorithm.
Further, as a preferred embodiment of the method, the step of screening the curve segments in the first region to obtain the curve segments that may be 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, so that the areas pointed by the arc centers of the pair of arcs contain each other;
Confirming that the difference value of the distance of the intersection points of the successfully matched arc lines relative to the corresponding arc bisector 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, whether the difference of the distances between the successfully paired arc lines and the intersection point O of the arc bisectors is smaller than a certain tolerance is judged, if the difference is smaller, the arc lines are considered to be on the same circle, a candidate circle is obtained, the arc line obtaining step, the arc line pairing step and the step of judging whether the difference of the distances between the paired arc lines and the intersection point O of the arc bisectors is smaller than the certain tolerance are repeated until all the arc lines are paired, and a plurality of candidate circles are generated.
Further, as a preferred embodiment of the method, the step of performing integrity analysis on the final candidate circle and confirming that the final candidate 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 matched arc lines 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 greater than a third preset value, and obtaining a first final candidate circle ratio.
Repeating the step of calculating the pixel and the ratio until the ratio of all the 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 matched arc line, and if the ratio of B to A is greater than a preset value, considering that the matched arc line conforms to the characteristics of a circle. And taking the final candidate circle with the largest ratio as a final recognition result to obtain a final circle.
As a further preferred embodiment of the method, the step of outputting the parameters of the final circle and displaying the parameters on the input image includes:
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 a pixel ratio;
and uploading the parameter value feedback and displaying the final circle label 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 a value in millimeter unit through the pixel ratio and returned to the user, meanwhile, a corresponding circle is 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 invention provides a rapid, efficient and non-contact size detection method. The existing method requires high 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 plate patterns, the traditional method has low identification accuracy, can still provide circle detection with error within millimeter level, and has shorter detection time compared with the traditional method.
The invention provides another specific embodiment, a system for detecting the size of a circular hole of a pattern board, which comprises the following modules:
the denoising module is used for acquiring an input image and carrying out filtering denoising processing on the input image to obtain a denoised image;
the detection module is used for detecting the denoised image based on a Hough circle detection method to obtain a first region;
the curve segment module is used for extracting curve segments of the first area, screening the curve segments and generating a plurality of candidate circles;
the refining module is used for screening a plurality of candidate circles in a mean shift clustering mode and then refining the candidate circles through a fast least square method to obtain final candidate circles;
and the confirmation 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 marking and displaying the parameters on the input image.
Further in accordance with 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 sub-module is used for screening the curve segments of the first area to obtain the curve segments which are possibly combined into a circle and generate a plurality of candidate circles.
As a further preferred embodiment of the present 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 a first pixel number;
the second pixel submodule is used for calculating the number of pixels corresponding to the successfully matched arc line to obtain a second pixel number;
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.
A repeating submodule for repeating the step of calculating the pixel and the ratio until the ratio of all the final candidate circles is obtained;
and the final circle submodule is used for taking the final candidate circle with the largest ratio as a final recognition result to obtain a final circle.
As a further preferred embodiment of the present system, the display module further comprises:
the conversion submodule 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 a pixel ratio;
and the uploading submodule is used for feeding back and uploading the parameter values and marking the final circle on the input image for display.
The contents in the above method embodiments are all applicable to the present system embodiment, the functions specifically implemented by the present system embodiment are the same as those in the above method embodiment, and the beneficial effects achieved by the present system embodiment are also the same as those achieved by the above method embodiment.
A circular hole size detection device for a pattern board comprises:
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 enabled to implement the method for detecting the circular hole size of the pattern board.
The contents in the above method embodiments are all applicable to the present apparatus embodiment, the functions specifically implemented by the present apparatus embodiment are the same as those in the above method embodiments, and the advantageous effects achieved by the present apparatus embodiment are also the same as those achieved by the above method embodiments.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method for detecting the size of a circular hole of a pattern board is characterized by comprising the following steps:
acquiring an input image and carrying out filtering and denoising processing on the input image to obtain a denoised image;
detecting the denoised image based on a Hough circle detection method to obtain a first region;
extracting curve segments of the first area, screening the curve segments and generating a plurality of candidate circles;
screening a plurality of candidate circles in a mean shift clustering mode, and refining the candidate circles by a fast least square method to obtain final candidate circles;
and carrying out integrity analysis on the final candidate circle, and confirming to obtain the final circle.
2. The method for detecting the size of the circular hole of the patterned board according to claim 1, further comprising:
and outputting the parameters of the final circle and marking and displaying on the input image.
3. The method for detecting the circular hole size of the pattern board as claimed in claim 2, wherein the processing method for filtering and denoising the input image comprises histogram stretching, Gamma correction, gaussian filtering, mean filtering and median filtering.
4. The method for detecting the size of the circular hole in the patterned board according to claim 3, wherein the step of extracting the curve segment of the first area, screening the curve segment and generating a plurality of candidate circles specifically comprises:
extracting a curve segment of the first area based on an LSD (least squares) segment extraction algorithm;
and screening the curve segments of the first area to obtain the curve segments which are possibly combined into a circle and generate a plurality of candidate circles.
5. The method for detecting the size of the circular hole of the patterned board according to claim 4, wherein the step of extracting the curve segment of the first area based on the LSD line segment extraction algorithm specifically comprises:
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 by a principal component analysis method to obtain a curve segment of the first area.
6. The method for detecting the size of the circular hole in the patterned board according to claim 5, wherein the step of screening the curve segments in the first area to obtain the curve segments which are possibly combined into a circle and generating a plurality of candidate circles specifically comprises:
obtaining an arc line according to the curve segment of the first area;
selecting a pair of matched arcs according to the arcs, so that the areas pointed by the arc centers of the pair of arcs contain each other;
Confirming that the difference value of the distance of the intersection points of the successfully matched arc lines relative to the corresponding arc bisector is smaller than a second preset value, and obtaining a candidate circle;
the screening step is repeated to generate a plurality of candidate circles.
7. The method for detecting the size of the circular hole in the patterned board according to claim 6, wherein the step of performing integrity analysis on the final candidate circle and confirming that the final circle is obtained specifically comprises:
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 matched arc lines 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 greater than a third preset value, and obtaining a first final candidate circle ratio.
Repeating the step of calculating the pixel and the ratio until the ratio of all the 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.
8. The method for detecting the size of the circular hole in the patterned board according to claim 7, wherein the step of outputting the parameters of the final circle and displaying the parameters on the input image includes:
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 a pixel ratio;
And uploading the parameter value feedback and displaying the final circle label on the input image.
9. The utility model provides a decorative pattern panel round hole size detecting system which characterized in that includes following module:
the denoising module is used for acquiring an input image and carrying out filtering denoising processing on the input image to obtain a denoised image;
the detection module is used for detecting the denoised image based on a Hough circle detection method to obtain a first region;
the curve segment module is used for extracting curve segments of the first area, screening the curve segments and generating a plurality of candidate circles;
the refining module is used for screening a plurality of candidate circles in a mean shift clustering mode and then refining the candidate circles through a fast least square method to obtain final candidate circles;
and the confirmation module is used for carrying out integrity analysis on the final candidate circle and confirming to obtain the final circle.
10. The utility model provides a decorative pattern panel 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 may implement the method for detecting the size of the circular hole in the pattern board according to any one of claims 1 to 7.
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