Navel orange image segmenting method based on adaptive step size harmony search algorithm

Abstract

The invention discloses a navel orange image segmenting method based on adaptive step size harmony search algorithm, and aims at solving the shortages of slow segmenting and low segmenting precision of the traditional harmony search algorithm applied to navel orange image segmenting. The method is characterized in that search factors are generated according to the chaotic motion rules during tone adjustment in a naval orange image division process adopting the harmony search algorithm; then the difference between the optimal individual and random individual is utilized to adaptively determine the search step size, so that the search performance of the algorithm can be improved; in addition, the information of the optimal individual and the individual in the adjacent area is utilized to generate a reverse individual in the adjacent area, and the reverse individual in the adjacent area is included into the selection operation, so as to speed up the convergence of the algorithm; compared with the similar methods, the method has the advantages that the naval orange can be quickly segmented, and the segmenting precision can be improved.

Description

technical field [0001] The invention relates to the field of image segmentation, in particular to a navel orange image segmentation method based on an adaptive step size and a sound search algorithm. Background technique [0002] With the development of the navel orange industry, intelligent robots for navel orange picking are gradually being applied to the field of navel orange production. Machine vision technology is one of the core technologies of the navel orange picking robot, and navel orange image segmentation is the key technology of the machine vision system of the navel orange picking robot. Navel orange image segmentation is to divide the collected navel orange image into several different parts, and identify the navel orange part in the image, so as to provide positioning guidance for the picking of navel orange picking robots. The quality of navel orange image segmentation will directly affect the picking accuracy of the navel orange picking robot. [0003] Ha...

AI Technical Summary

Problems solved by technology

[0004] The present invention mainly solves the technical problems existing in the prior art. Aiming at the disadvantages of slow segmentation speed and low segmentation accuracy when the traditional harmony search algorithm is applied to navel orange image segmentation, a method based on adaptive step size and harmony is proposed. Navel Orange Image Segmentation Method Based on Search Algorithm

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