摘要
针对红外图像边缘检测这一难题,提出了一种基于红外图像差值图的模糊边缘检测方法。首先通过计算图中每个像素点与其邻域8像素点灰度值的差值,然后寻找这些差值的最大值得到图像的差值图,接着对差值图像的边缘区域和平滑区域进行模糊划分,利用差值直方图模型确定红外图像差值图的分割阈值,从而实现边缘提取。实验结果表明,该方法用于红外图像边缘检测能获得较好的效果。
Considering the difficulty on the edge detection of infrared image, a fuzzy edge detection based on infrared image difference chart is introduced. Firstly, the difference chart is constructed by computing the difference value between the pixel and the surround 8 pixels; Secondly, implements fuzzy partition to infrared difference image, gets the edge region and smooth region, and achieves the segmentation value by use of the difference histogram; lastly, the experiment is conducted on various infrared images and the results show that the proposed approach has better performance than some classical edge detection methods based on gradient.
出处
《制导与引信》
2007年第2期32-35,共4页
Guidance & Fuze
关键词
边缘检测
红外图像
模糊算法
edge detection
infrared image
fuzzy algrrithm
