一种应用Tsallis熵的红外图像边缘检测算法

Edge Detection of IR Image Based on Tsallis Entropy

提出一种基于Jensen-Tsallis熵的红外图像的边缘检测方法,通过分析红外图像的成像特点,利用红外图像的局部的熵信息,计算滑动窗口内图像的Jensen-Tsallis散度-方向对,由Jensen-Tsallis散度确定候选边缘像素,再利用Jensen-Tsallis的方向信息细化并连接边缘像素,实验结果表明,该算法可以有效地检测红外图像边缘。

An edge detection algorithm based on Jensen-Tsallis entropy is presented. By analyzing the character of IR image, the algorithm uses local entropy information. The divergence -direction is obtained by sliding a window over an image. The edge pixel is linked from candidate pixels using direction information. Some experimental results have been provided to show the efficiency of the proposed algorithm.