A man-made object detection algorithm based on contour complexity evaluation

查看全文 作　　者：Guili [1]XU;Zhengbing [1]WANG;Yuehua [2]CHENG;Yupeng [1]TIAN;Chao [1]ZHANG

机构地区：[1]College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;[2]College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

出　　处：《Chinese Journal of Aeronautics》索引2017年第30卷第6期,共27页

基　　金：co-supported by the National Natural Science Foundation of China (61473148);the Funding of Jiangsu Innovation Program for Graduate Education (No. KYLX16_0337) 摘　　要：Man-made object detection is of great significance in both military and civil areas, such as search-and-rescue missions at sea, traffic signs recognition during visual navigation, and targets location in a military strike. Contours of man-made objects usually consist of straight lines, corner points, and simple curves. Motivated by this observation, a man-made object detection method is proposed based on complexity evaluation of object contours. After salient contours which keep the crucial information of objects are accurately extracted using an improved mean-shift clustering algorithm, a novel approach is presented to evaluate the complexity of contours. By comparing the entropy values of contours before/after sampling and linear interpolation, it is easy to distinguish between man-made objects and natural ones according to the complexity of their contours.Experimental results show that the presented method can effectively detect man-made objects when compared to the existing ones. 关键词：复杂性评估轮廓链代码轮廓察觉人造目标察觉突出的轮廓

相关文献

参考文献（30）
引证文献（2）
耦合文献（0）

参考文献(30)

引证文献(2)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

A man-made object detection algorithm based on contour complexity evaluation

参考文献(30)

引证文献(2)

用户提示