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A simple and efficient object detection method based on saliency measure for infrared radiation image
Sun ZL(孙照蕾); Hui B(惠斌)
作者部门光电信息技术研究室
会议名称International Symposium on Optoelectronic Technology and Application 2014
会议日期May 13-15, 2014
会议地点Beijing, China
会议录名称Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
出版者SPIE
出版地Bellingham, WA
2014
页码1-6
收录类别EI ; CPCI(ISTP)
EI收录号20150800551731
WOS记录号WOS:000349327100107
产权排序1
ISSN号0277-786X
关键词Saliency Detection Image Pre-processing Spectral Residual Semi-local Feature
摘要

Detection of visually salient objects plays an important role in applications such as object segmentation, adaptive compression, object recognition, etc. A simple and computationally efficient method is presented in this paper for detecting visually salient objects in Infrared Radiation images. The proposed method can be divided into three steps. Firstly, the infrared image is pre-processed to increase the contrast between objects and background. Secondly, the spectral residual of the pre-processed image is extracted in the log spectrum, then via corresponding inverse transform and threshold segmentation we can get the rough regions of the salient objects. Finally, we apply a sliding window to acquire the explicit position of the salient objects using the probabilistic interpretation of the semi-local feature contrast which is estimated by comparing the gray level distribution of the object and the surrounding area in the original image. And as we change the size of the sliding window, different size of objects can be found out. In our proposed method, the first two steps combined together to play a role in narrowing the searching region and thus accelerating computation. The third procedure is applied to extract the salient objects. We test our method on abundant amount of Infrared Radiation images, and the results show that our saliency detection based object detection method is effective and robust.

语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15336
专题光电信息技术研究室
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Science, Shenyang, China
4.Key Lab of Image Understanding and Computer Vision, Liaoning province, Shenyang, China
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GB/T 7714
Sun ZL,Hui B. A simple and efficient object detection method based on saliency measure for infrared radiation image[C]. Bellingham, WA:SPIE,2014:1-6.
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