关键词: 图像分割, 阈值化, 二维直方图斜分, 最大类间交叉熵, 递推算法

Abstract: With the approach based on 2D histogram oblique segmentation, a fast image thresholding method based on maximum inter-class entropy was presented in this paper. Firstly the thresholding method was formulated, based on maximum inter-class entropy and 2D histogram oblique segmentation, and then its fast recurring algorithm was deduced, finally the defined array operations and the algorithm were combined to search the optimal threshold vector. The experimental results show that the proposed method can not only get better generalization, but also has higher efficiency than the current thrsholding method based on 2D oblique segmentation.

Key words: image segmentation, thresholding, 2D histogram oblique segmentation, maximum inter-class cross entropy, recurring algorithm