摘要
红外序列图像边缘检测是图像处理中的重点和难点之一。提出了一种基于柔性形态学的红外序列图像边缘检测算法,首先对目标红外图像进行柔性边缘提取,然后在此基础之上采用模糊c均值聚类方法将图像转化为二值图像,从而得到比较精确的目标边缘检测图像。计算机仿真实验表明,该方法的性能优于传统的检测算子,并且具有抑制噪声的功能。
Target edge detection for image sequence is one of the important and difficult problems in digital image processing. In this paper, a novel infrared target edge algorithm for image sequence based on soft morphology is proposed. First, the infrared image of the target edge is extracted by using the soft morphology. Then, the image is converted to the binary one by using the fuzzy c-means clustering algorithm so as to obtain a more accurate target edge detection image. The simultion experiment shows that this method has a better performance than the traditional operators and also has a noise restraining function.
出处
《红外》
CAS
2009年第1期27-30,共4页
Infrared
关键词
边缘检测
柔性形态学
模糊C均值
聚类数
edge detection
soft mathematical morphology
fuzzy c-means
clustering number
