基于SUSAN算子的红外目标检测

Detection of Infrared Object Based on SUSAN Algorithm

SUSAN算子是一种基于图像局部灰度特征的算法,利用一个圆形的模板对图像进行扫描,比较模板内部的点与模板中心点的灰度值,如果灰度差值小于一定的阈值,就认为该点与中心点的灰度相同。统计模板内部与中心点灰度相同的点的个数,与一个阈值进行比较,判断该点是否属于某个区域的边缘点,从而实现对红外目标的检测。与传统的全局阈值相比,该算法抗干扰能力较强,实时性较好,能够快速、可靠地检测出红外目标。

This paper represents a new thresholding segmentation method SUSAN operation. It is the method based on the local gray value character of an image. Using a circular mask processing every pixel,comparing the gray value character of every pixel in the mask with the center pixel,if the difference is less than a certain value,the pixel can be considered the same gray value with the center pixel,accounting the number of these pixel,comparing it with a certain value, judging the pixel is the edge of a certain area or not,and carrying out the segmenting process. Using this method,it can detect the infrared target and exactly.