基于偏斜度的图像局部熵算法

Image Local Entropy Algorithm Based on Skewness

针对红外弱小目标难以检测的问题,提出一种基于偏斜度的局部熵算法的新方法。通过对原始图像进行分块处理,利用局部熵值判断图像块找出感兴趣区域,再利用偏斜度进行判断,通过自适应阈值分割方法对弱小目标进行检测。经过实验证明:该方法能够有效地检测出弱小目标,具有算法简单,运算量小,便于硬件实现等特点。

Because it is hard to detect infrared weak small targets, put forward a new method of the local entropy algorithm based on skewness. Chunked processing based on the original image, by using local entropy value judgment image block to find interested area, reuse skewness to judgment, through the adaptive threshold segmentation method for small target detection. After the experiment proved that this method can effectively detect the weak target, it has a simple algorithm, the computational complexity is small, convenient for hardware implementation, etc.