Wire production defect detection method based on image processing

Abstract

The invention relates to the technical field of image processing, in particular to an electric wire production defect detection method based on image processing. The method comprises the steps of obtaining pixel point equalization necessity through the degree of protrusion of gray levels and the degree of protrusion of pixel points in a first gray-scale map, and selecting pixel points in the first gray-scale map for continuous equalization according to the pixel point equalization necessity to obtain an equalization image; selecting the equalization effect of the pixel points in the equalization image with the maximum equalization effect, and re-equalizing the pixel points which do not meet the equalization requirement to obtain a final equalization image; and performing image segmentation according to the final balanced image to obtain a wire defect area. According to the method, part of pixel points in the first grey-scale map are equalized, so that the contrast ratio of the grey-scale map containing the electric wire is improved, the accuracy of defect detection on the surface of the electric wire is improved, and the detection difficulty is also reduced; and meanwhile, a final balanced image with the best balancing effect is obtained, and the detection accuracy is further improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image processing-based detection method for electric wire production defects. Background technique [0002] In daily life, more and more wires are used, so the production scale of wires is getting bigger and bigger, but some defects may occur in the production process of wires, such as the plastic shell of the finished wires has the phenomenon of wrapping or cracking. If the defects in the production process of these wires are not detected and eliminated in time, it will have a great impact on the subsequent use of the wires, and even cause certain dangers. [0003] Most of the traditional inspection methods use manual inspection, but the defects of the produced electric wires are usually subject to subjective influence when inspected by human eyes, and it is very easy to visual fatigue. Therefore, with the development of machine vision, the use of image acquisition ...

AI Technical Summary

Problems solved by technology

[0002] In daily life, more and more wires are used, so the production scale of wires is getting bigger and bigger, but some defects may occur in the production process of wires, such as the plastic shell of the finished wires has the phenomenon of wrapping or cracking. If the defects in the production process of these wires are not detected and eliminated in time, it will have a great impact on the subsequent use of the wires, and even cause certain dangers.

[0003] Most of the traditional inspection methods use manual inspection, but the defects of the produced wires are usually subject to subjective influence if they are inspected by human eyes, and it

Images