关键词: 图像分割, 多阈值分割, Fisher准则, 直方图势函数, 递推算法

Abstract: The traditional multi-threshold image segmentation method has high complexity and the results are poor. In order to solve the problems, a new multi-thresholding method based on combining Fisher criterion and potential function was proposed. First, the Fisher criterion function was simplified and a recursive algorithm was used to reduce the computational complexity. Then the number of segmentation class was obtained by utilizing the histogram potential function method. Finally, the simplified Fisher criterion function was used for multi-thresholding and the segmentation results were further processed. The experimental results show that compared with the traditional multi-thresholding methods, the proposed method has better segmentation performance and that its running time is less. It can be used in the real-time applications.

Key words: image segmentation, multi-threshold segmentation, Fisher criterion, histogram potential function, recursive algorithm