直线型二维Tsallis熵阈值分割方法

摘要

为了充分利用图像的边界区域信息,本文在研究二维Tsallis熵的基础上,提出了直线型二维Tsallis熵阈值分割方法,传统的二维Tsallis熵法可以看作是直线型二维Tsallis熵阈值分割方法的特例.为了减少运算量,提高分割速度,给出了直线型二维Tsallis熵法的快速递推公式.实验结果表明:直线型二维Tsallis熵阈值法除了能够有效降低运算量外,对于噪声图像还可以获得比传统二维Tsallis熵法更好的分割结果.%In order to make full use of the information of edge region of images, a two -dimensional linear -type Tsallis entropy thresholding segmentation method is presented in this paper, and the traditional two -dimensional Tsallis entropy method can be regarded as a special case of it. In order to decrease the computation complexity and promote the segmentation speed, the fast recursive formula based on the two -dimensional linear- type Tsallis entropy is proposed. The experimental results show that the new method can get better segmentation results for the noisy images than the classical Tsallis entropy method.