关键词: 阈值分割, 最小误差法, 遗传算法, 局部阈值, 孔穴图像

Abstract: According to the advantages and disadvantages of the genetic algorithm and the minimum error thresholding method, a partial minimum error thresholding method of cavity image combined with genetic algorithm is developed by improving and combining genetic algorithm with minimum error thresholding method. This method uses the partial information of the cavity image to confirm the best threshold range, and uses simulated annealing algorithm to adjust the individual fitness degree, thus the premature convergence is avoided and the operation speed is improved. The results show that this method can segment the cavity image fast and accurately, and it is an effective method of cavity image segmentation.

Key words: threshold segmentation, minimum error thresholding method, genetic algorithm, local threshold, cavity image