Laser cavity recognition method and device
A recognition method and laser cavity technology, applied in the field of image processing, can solve the problems of inapplicable concentric circle fitting, the influence of edge extraction effect noise, and prolonging the calculation time, so as to reduce the complicated calculation of effective points, improve efficiency, and improve The effect of detection accuracy
Active Publication Date: 2020-09-29
WUHAN INSTITUTE OF TECHNOLOGY
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However, this algorithm is not suitable for concentric circle fitting and is susceptible to edge extraction effects and edge noise
In addition, the large number of calculations of invalid points and the repeated calculation of valid points prolong the calculation time
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[0020] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0021] figure 1 It is a schematic flowchart of a laser cavity identification method provided by an embodiment of the present invention.
[0022] Such as figure 1 As shown, a laser cavity identification method includes the following steps:
[0023] S1: Obtain a laser cavity image through a CCD camera, and perform pixel coordinate extraction processing on the laser cavity image to obtain multiple pixel coordinates, collect multiple pixel coordinates, and obtain a coordinate data set;
[0024] S2: Randomly select three non-collinear points in the coordinate data set to obtain a sample data set, perform sample circle parameter calculation on the sample data set, and obtain sample circle parameters;
[0025] S3: Combi...
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The invention provides a laser cavity recognition method and device, and the method comprises the steps: S1, obtaining a laser cavity image through a CCD camera, carrying out the pixel point coordinate extraction of the laser cavity image, obtaining a plurality of pixel point coordinates, and collecting the plurality of pixel point coordinates to obtain a coordinate data set; S2, randomly selecting three non-collinear points in the coordinate data set to obtain a sample data set, and performing sample circle parameter calculation on the sample data set to obtain sample circle parameters; and S3, combining the coordinates of the remaining pixel points except the three non-collinear points in the coordinate data set to obtain a plurality of comparison circles, and performing comparison circle parameter calculation on each comparison circle to obtain a plurality of comparison circle parameters. According to the method, complex calculation of effective points is reduced, the detection precision of the arc part is improved, the detection time is greatly shortened, the standard of image preprocessing is reduced, and the laser cavity recognition method and device have important significance for detecting actual workpieces with arc contours.
Description
technical field [0001] The invention mainly relates to the field of image processing, in particular to a laser cavity identification method and device. Background technique [0002] In the industry, the shape of some mechanical parts and components is not necessarily a complete arc shape, but at the same time, the engineering measurement must measure its inner diameter or arc, which is a very difficult project, and the obtained The result is less accurate. At present, digital image measurement technology has been widely used in industrial measurement. [0003] Nowadays, digital images can be acquired by CCD cameras to obtain images of parts, and then the geometric dimensions can be obtained by extracting and detecting the edges of the image components. First, a polynomial model is built as much as possible, and then the data at the contour points in the graph are calculated and compared with the model. If the coordinates in the graph match one of the prepared polynomial f...
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IPC IPC(8): G06T7/00G06T7/62G06T7/12G06T7/136G06T5/00G01B11/00
CPCG06T7/0004G06T7/62G06T7/12G06T7/136G01B11/00G06T2207/10004G06T2207/20032G06T2207/30164G06T5/70
Inventor 陈汉新李森刘明明李梦龙
Owner WUHAN INSTITUTE OF TECHNOLOGY