Fast infrared sea ship target detection based on improved BING algorithm | |
Liu YP(刘云鹏); Shi ZL(史泽林); Li LX(李乐星) | |
2017 | |
会议名称 | LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017 |
会议日期 | July 23-25, 2017 |
会议地点 | Changchun, China |
关键词 | Infrared image Sea ship BING algorithm Candidate regions |
页码 | 1-6 |
通讯作者 | Li LX(李乐星) |
中文摘要 | The key to the target detection of infrared sea ship is real-time, fast and efficient detection of the real goal. The BING method, which introduces the binarization approximation calculation, can quickly detect target. But for infrared images, the approximate calculation also brings some shortcomings. The approximation of the gradient feature makes the overall gradient of the image amplitude decrease and some of the smaller gradient edge details disappear, so that leading to the weak distinguished ability. Based on the BING algorithm, we propose an improved BING algorithm which can quickly extract the candidate regions of infrared ship images. In the normed gradients(NG) feature, we introduce the Laplace difference operator and use the two-level cascaded SVM to learn them. Experimental results have shown that our method is effective and rapid to extract the region of interest (ROI) of the target ship. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议主办者 | Chinese Society for Optical Engineering (CSOE) |
会议录 | Proceedings SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017 |
会议录出版者 | SPIE |
会议录出版地 | Bellingham, USA |
语种 | 英语 |
ISSN号 | 0277-786X |
WOS记录号 | WOS:000426279000059 |
内容类型 | 会议论文 |
源URL | [http://ir.sia.cn/handle/173321/21307] |
专题 | 沈阳自动化研究所_光电信息技术研究室 |
作者单位 | 1.The Key Lab of Image Understanding and Computer Vision, Shenyang, Liaoning province, 110016, P. R. China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, P. R. China 3.College of Information Science and Engineering, Northeastern University, Shenyang, 110819, P. R. China 4.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, 110016, P. R. China |
推荐引用方式 GB/T 7714 | Liu YP,Shi ZL,Li LX. Fast infrared sea ship target detection based on improved BING algorithm[C]. 见:LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017. Changchun, China. July 23-25, 2017. |
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