Rapid threshold segmentation method based on gray level-gradient two-dimensional symmetrical Tsallis cross entropy

Abstract

The invention relates to a rapid threshold segmentation method based on gray level-gradient two-dimensional symmetrical Tsallis cross entropy, aims at the problems that approximate assumption exists in a conventional gray level-average gray level histogram and a whole solution space is required to be searched by calculation, so that segmentation is inaccurate and the efficiency is not high, and provides improved two-dimensional symmetrically Tsallis cross entropy threshold segmentation and a rapid recursive method thereof. The threshold segmentation method is higher in universality and accurate in segmentation; in order to realize accurate segmentation of a gray image, a new gray level-gradient two-dimensional histogram is adopted, and a two-dimensional symmetrical Tsallis cross entropy theory with a superior segmentation effect is combined with the histogram, so that the gray level image segmentation accuracy is effectively improved; the requirement for on-line timeliness of an industrial assembly line is met at the same time, a novel rapid recursive algorithm is adopted, and redundant calculation is reduced; and after a gray level image of the industrial assembly line is processed, the inside of an image zone is uniform, the contour boundary is accurate, the texture detail is clear, and at same time, good universality is provided.

Description

Technical field [0001] The invention relates to the field of image segmentation in machine vision, in particular to a two-dimensional symmetric Tsallis cross-entropy based on gray-gradient histograms to achieve rapid and accurate threshold segmentation of industrial pipeline gray-scale images. Background technique [0002] Image segmentation is the pre-processing technology of image analysis and visual inspection systems. Threshold segmentation is the most commonly used, most effective, and simplest image segmentation method. The result of threshold segmentation directly affects the accuracy of subsequent feature extraction and target recognition, so threshold segmentation technology occupies a vital position. In industrial assembly lines, threshold segmentation technology has a wide range of applications: such as character recognition on workpieces, surface defect detection of bearing dust cover, solar panel crack detection, magnetic tile surface defect detection, grain appearan...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to aim at the characteristics of low segmentation accuracy, low universality, and low real-time performance in the existing methods. On the basis of the two-dimensional Tsallis gray entropy method, a two-dimensional symmetric Tsallis cross entropy threshold segmentation technology based on the gray-gradient histogram is proposed, and a segmentation performance is superior, the universality is strong, and it is suitable for real-time requirements. Threshold Segmentation Method in High Industrial Pipeline

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