Cable defect detection optimization method based on gray scale run matrix

Abstract

The invention discloses a cable defect detection optimization method based on a gray scale run matrix, and relates to the field of artificial intelligence. Comprising the steps of obtaining multiple regional images; calculating a roughness coefficient of each pixel point in each regional image according to each pixel point in each regional image and gray levels of pixel points in eight neighborhoods of each pixel point, further obtaining a roughness coefficient level image, and obtaining a gray level run length matrix corresponding to each regional image; calculating the roughness degree of each region image in each direction; the pixel points not smaller than the run threshold are marked in the direction with the maximum roughness degree, all marked areas are obtained, and the marked areas are combined to obtain a rough area; and judging each obtained rough region to obtain all cable defect regions. The texture features of the weak unsmooth area are extracted based on the improved gray scale run matrix, a better extraction effect can be obtained compared with a conventional texture descriptor, and the defect detection precision is effectively improved.

Description

technical field [0001] The present application relates to the field of artificial intelligence, and in particular to an optimization method for cable defect detection based on a grayscale run-length matrix. Background technique [0002] In the process of laying high-voltage cables, two or more cables will be connected. At this time, the installer needs to open the connection of the high-voltage cable. The surface of the open line is easily damaged, and any degree of damage will It may develop into a fault point in the long-term operation of the cable, causing dangers such as insulation breakdown. [0003] In the prior art, texture descriptors are used to extract rough areas, but in fact, some texture features in rough areas are often weak. Conventional texture descriptors are not ideal for extracting rough areas, and the detection results are not accurate enough. SUMMARY OF THE INVENTION [0004] In view of the above technical problems, the present invention provides an o...

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Problems solved by technology

[0002] In the process of laying high-voltage cables, two or more cables will be connected. At this time, the installer needs to open the connection of the high-voltage cables. The surface of the open line is easily damaged, and any degree of damage will cause damage. It may develop into a fault point during the long-term operation of the cable, causing dangers such as insulation breakdown

[0003] Most of the existing technologies use texture descriptors to extract non-smooth areas, but in fact, some texture features in non-smooth areas are often relatively weak. Conventional texture descriptors are not ideal for extracting non-smooth areas, and the detection results are not accurate enough.

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