文献详情
Iterative infrared ship target segmentation based on multiple features
文献类型期刊
作者Liu, Zhaoying[1];Zhou, Fugen[2];Chen, Xiaowu[3];Bai, Xiangzhi[4];Sun, Changming[5]
机构
通讯作者Bai, XZ (reprint author), Beihang Univ, Image Proc Ctr, Beijing 100191, Peoples R China.
来源信息年:2014  卷:47  期:9  页码范围:2839-2852  
期刊信息PATTERN RECOGNITION影响因子和分区  ISSN:0031-3203
关键词Infrared ship target; Iterative segmentation; Global background subtraction filter; Adaptive row mean subtraction filter; Shape feature; Target selection
增刊正刊
摘要This paper presents an efficient method for ship target segmentation in infrared (IR) images. It consists of mainly two procedures: iterative image segmentation and ship target selection. First, based on the intensity distribution of an IR image, we design a global background subtraction filter (GBSF) to suppress the background, and an adaptive row mean subtraction filter (ARMSF) to enhance the target. After iteratively applying these two filters, we can obtain a proper threshold for image segmentation. Second, based on the geometric properties of the ship target, we construct four shape features and a selection criterion to identify the real target and remove the non-target regions. Experimental results demonstrate that the proposed method can effectively segment ship targets from different backgrounds in IR images. The advantage of the proposed method over the others in the previous literatures is validated in both visual and quantitative comparisons, especially for IR images with low contrast and uneven intensities. (C) 2014 Elsevier Ltd. All rights reserved.
收录情况SCIE(WOS:000336872000005)  EI(20142117748080)  
所属部门计算机学院;宇航学院;校机关
DOI10.1016/j.patcog.2014.03.005
百度学术Iterative infrared ship target segmentation based on multiple features
语言外文
被引频次2727
人气指数340
浏览次数340
基金National Natural Science Foundation of China [61271023]; RD Program [2012BAH07B01]; Program for New Century Excellent Talents in University [NCET-13-0020]; China Scholarship Council
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