灰度拉伸及边缘扫描在红外图像分割中的应用  

Segmentation algorithm of infrared image based on gray stretching and edge scanning

作　　者：陈芳[1] 姚建刚[1] 杨迎建[2] 李佐胜[1] 刘旭 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082 [2]国网武汉高压研究院,武汉430074 [3]湖南湖大华龙电气与信息技术有限公司,长沙410012

出　　处：《计算机工程与应用》2009年第14期167-169,共3页Computer Engineering and Applications

基　　金：湖南省科技计划项目(No.2006GK3043);国网武汉高压研究院武高科研基金项目;长沙市科技计划重点项目

摘　　要：提出了一种湿污绝缘子红外图像的综合分割算法,首先用窗口灰度拉伸算法对图像进行增强,接着对图像进行二值化;然后用形态学方法将图像中相关的区域连接起来,将不相关的区域分离开;最后用基于梯度的边缘轮廓扫描法对获得的图像进行处理,将绝缘子图像中的导线去除。仿真结果表明,该分割方法可以很好地将湿污绝缘子从背景上分割出来,边缘清晰,分割质量良好,为后续特征提取和污秽等级的确定奠定了基础。This paper presents a segmentation algorithm for infrared image of polluted and wetted insulators.First,it adopts a window gray stretching method to intensify the image,and then,binarization process is done to the image.After that,it uses morphology algorithm to combine the correlated zones and split the uncorrelated zones of the image.Finally,it employs edge configuration scanning method based on gradient to remove conducting wires in the image.Simulation results show that the method can divide the polluted and wetted insulator from the background efficiently with sharp edge.It lays a foundation for further feature extraction and contamination degree fixed.

关 键 词：窗口灰度拉伸 红外图像 梯度 边缘轮廓 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]