Irregular workpiece detection method based on machine vision

Abstract

The invention relates to an irregular workpiece detection method based on machine vision, and the method comprises the steps: obtaining an irregular workpiece image, carrying out the edge detection, converting the edge of the workpiece image into a polar coordinate system, employing the intersection of the polar coordinate system in the horizontal direction of different theta connecting lines as a new two-dimensional plane through Hough transformation, according to the information gain of all connecting line intersection points in the two-dimensional plane, judging the intersection points to obtain missing detection points, obtaining a missing detection area according to the missing detection points, performing bubble detection on the workpiece, if the missing detection area does not have bubbles, determining that the workpiece does not have defects, and if the missing detection area has bubbles, obtaining an edge area of the bubbles in the missing detection area; and according to the volume and position changes of all bubbles in the adjacent frames and the single-frame image are analyzed according to the marginal areas of the bubbles, determining the accurate position of the missing detection defect, so the defect position of the irregular detection workpiece is more accurately positioned based on machine vision and comprehensive analysis, the detection precision is high, and the practicability is high.

Description

technical field [0001] The present application relates to the field of air tightness detection, in particular to a method for detecting irregular workpieces based on machine vision. Background technique [0002] At present, many methods have appeared in the technology used in air tightness testing experiments, such as: bubble detection method, air pressure detection method, chemical gas loss method, etc. The bubble detection method is currently the most economical and practical method. Inflate or inflate during the testing process to obtain the air bubbles for air tightness testing, and observe the air bubbles in the water by soaking the workpiece into water to judge the airtightness of the workpiece. However, during the air tightness testing, if irregularities For workpieces, simple detection of air bubbles in water may easily lead to missed and wrong detections. Due to the irregularity of the workpiece, some defect bubbles at the corners of the back cannot surface after o...

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a method for detecting irregular workpieces based on machine vision to solve the problems of missed detection and false detection that may exist in the existing irregular shape analysis of detection workpieces. The following technical solutions are adopted:

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