Infrared Electric Image Thresholding Using Two-Dimensional Fuzzy Renyi Entropy
Infrared thermograph is of great significance in electric equipment monitoring, but due to both the limitation in thermograph technology and surrounding interferences, infrared electric images are always fuzzy by nature, and thus the segmentation of infrared electric image is a challenging task.To handle this ambiguity, we first calculate the two-dimensional histogram of image to make full use of spatial information, and then transform the two-dimensional histogram into fuzzy domain employing fuzzy membership.A new kind of twodimensional fuzzy entropy, namely two-dimensional fuzzy Renyi entropy, is defined and employed to compute the fuzzy entropy of object and background respectively, and thus the image is segmented following maximum entropy principle.Compared with other typical methods by experiments, the presented method is verified to be more effective and robust.
Infrared electric image image segmentation two-dimensional histogram fuzzy Renyi entropy maximum entropy principle
Songhai Fan Shuhong Yang Pu He Hongyu Nie
Sichuan Electric Power Research Institute,Chengdu 610072,China Guangxi University of Technology,Liuzhou 545006,China
国际会议
成都
英文
251-255
2011-09-27(万方平台首次上网日期,不代表论文的发表时间)