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

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.