An image segmentation method using automatic threshold based on improved genetic selecting algorithm

作者：Zhiwen Wang; Yuhang Wang; Lianyuan Jiang; Canlong Zhang; Pengtao Wang

来源：Automatic Control and Computer Sciences, 2016, 50(6): 432-440.

DOI：10.3103/S0146411616060092

• improved genetic selecting algorithm
• image segmentation
• automatic threshold
• Otsu

In this paper, an image segmentation method using automatic threshold based on improved genetic selecting algorithm is presented. Optimal threshold for image segmentation is converted into an optimization problem in this new method. In order to achieve good effects for image segmentation, the optimal threshold is solved by using optimizing efficiency of improved genetic selecting algorithm that can achieve a global optimum. The genetic selecting algorithm is optimized by using simulated annealing temperature parameters to achieve appropriate selective pressures. Encoding, crossover, mutation operator and other parameters of genetic selecting algorithm are improved moderately in this method. It can overcome the shortcomings of the existing image segmentation methods, which only consider pixel gray value without considering spatial features and large computational complexity of these algorithms. Experiment results show that the new algorithm greatly reduces the optimization time, enhances the anti-...

• 出版日期2016
• 单位广西大学