Image processing method for quickly and automatically detecting soldered dot unsatisfied products of electric connectors

Abstract

The invention discloses an image processing method for quickly and automatically detecting soldered dot unsatisfied products of electric connectors. The image processing method comprises the following steps: 1) converting an original image into a gray image, determining a section center and the outer radius of an inner circle, and accordingly, extracting a square image within a section region; 2) binarizing the square image of the section region, separating out the section and the background and performing morphological filtering; 3) obtaining a contour line width in each direction of the binary value of the section, and obtaining the average width to determine the radius of a center circle; 4) converting an original connector enclosing rectangle RGB image into HSV, segmenting out an H-channel image and carrying out binarization by use of a color threshold of soldered dots; 5) performing morphological filtering on the H-channel binary image to obtain a soldered dot image; and 6) detecting the number of the soldered dots in the center circle of the section by traversing, and comparing the number of the soldered dots with a standard number of the soldered dots to judge whether the soldered dots are satisfied or not. The image processing method is capable of eliminating the subjective error caused by manual examination and improving the consistency of detection, and also capable of improving the efficiency and the accuracy and guaranteeing the safety of the personnel, and has the advantages of non-contact and the like.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image processing method for quickly and automatically detecting unqualified solder joints of electrical connectors. Background technique [0002] At present, when electrical connectors are produced in large quantities, the solder joints of the products are not in the correct position, resulting in substandard products. The traditional method of manually inspecting unqualified electrical connectors is not only inefficient but also has subjective errors because it relies on human eyes to inspect through a magnifying glass (or microscope). There are factors such as high temperature, noise, and insecurity in the production site environment. Applying image processing technology to the rapid and automatic detection of unqualified solder joints of electrical connectors can not only eliminate subjective errors caused by manual inspections, improve detection consistency, but a...

AI Technical Summary

Problems solved by technology

[0005] In view of the above problems, the object of the present invention is to provide an image processing method for quickly and automatically detecting unqualified solder joints of electrical connectors, so as to solve the defects of automatic detection of solder joints of existing electrical connectors, and realize the detection of solder joints of electrical connectors. Automatic inspection of qualified or not

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