A simple and efficient saliency extraction method based on multi-scale horizon-directional filter for infrared dim small target detection
Xia RB(夏仁波); Zhao JB(赵吉宾); Hui B(惠斌); Chang Z(常铮); Zhou GC(周广超)
2011
会议名称7th Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Pattern Recognition and Computer Vision
会议日期November 4-6, 2011
会议地点Guilin, China
关键词horizon-directional filter dim small target detection saliency detection background subtraction
页码6 pp.
中文摘要This paper presents a simple and computationally efficient saliency extraction method for detecting dim small target from single frame in heterogeneous background. The proposed method is based on background subtraction (BS), which identifies targets from the portion of a image that differs significantly from a background model. A set of horizon-directional filters (HDF) with multi-scales are first implemented to effectively recover the background maps from the input image. As a result, the foreground maps are extracted by computing the absolute difference between the input image and the estimated background maps. Then the foreground maps are fused into the total saliency map using a simple scheme. Finally, the experimental results of various cluttered background images show that the proposed method is efficient and has an outstanding performance in dim small target detection just by thresholding the saliency map.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者Huazhong Univ Sci & Technol, Natl Key Lab Sci & Technol Multi-Spectral Informat Proc, Guilin Univ Elect Technol, SPIE
会议录MIPPR 2011: PATTERN RECOGNITION AND COMPUTER VISION
会议录出版者SPIE-INT SOC OPTICAL ENGINEERING
会议录出版地BELLINGHAM
语种英语
ISSN号0277-786X
ISBN号978-0-81948-578-6
WOS记录号WOS:000297914300049
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/7867]  
专题沈阳自动化研究所_装备制造技术研究室
推荐引用方式
GB/T 7714
Xia RB,Zhao JB,Hui B,et al. A simple and efficient saliency extraction method based on multi-scale horizon-directional filter for infrared dim small target detection[C]. 见:7th Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Pattern Recognition and Computer Vision. Guilin, China. November 4-6, 2011.
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