Tsallis entropy and the long-range correlation in image thresholding

Thresholding methods based on entropy have been proposed and developed over the years. In this paper, an improved Tsallis entropy based thresholding method is proposed for segmenting the images which presenting local long-range correlation rather than global long-range correlation. The advantage of the proposed method is to distinguish the pixels' local long-range correlation by the nonextensive parameter q. And the experimental results of various infrared images as well as nondestructive test ones show the effectiveness of the proposed method.

► We improved the Tsallis entropy based image thresholding method.
► The local long-range correlation of the pixels can be distinguished by this method.
► The correlation strength is described by parameter q.
► The proposed method is effective for segmenting the infrared images and nondestructive test images.