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《Journal of Zhejiang University(Engineering Science)》 2007-04
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Fast segmenting ROI of field scenario based on RGB combination and bit-masked reduction

ZHOU Ping1,2,ZHONG Qu-fa2,WANG Ya-ming2,ZHAO Yun1 (1.College of Bio-systems Engineering and Food Sciences,Zhejiang University,Hangzhou 310027,China;2.Laboratory of Machine Vision Inspection,Zhejiang Sci-Tech University,Hangzhou 310018,China)  
A novel real-time technique for segmenting image into regions of interest(ROI) of field scenario as rural road or dynamic textures in active vision was presented,which is based on linear combination of red,green and blue(RGB) components and bit-masked reduction.The extended FloodFill algorithm combined with a ring-style learning pattern of RGB color features archived the ideal kernel regions in field scenario or interested textural objects.Compared with such a ROI template,the optimized combination coefficient of RGB components was searched out for real-time segmentation of special objects.Lots of experimental results showed that the proposed linear combination of color components successfully enhances the visual pattern,and that the bit-masked color reduction extracts out the approximate principal color components by cutting down noises in image and decreasing errors in its texture segmentation.The achieved results are influenced little by textural structure of regions,with full segmentation of multi-objects done within 30 ms for color image sequence of 320×240 resolutions. This method is robust against the variation of color noisy distribution and illumination,and significant progress is made in stability and it speeds up segmentation of the ROI of field scenario,colored multi-objects or dynamic textures.
【Fund】: 国家自然科学基金资助项目(50545027);; 浙江省高校中青年学术带头人资助项目
【CateGory Index】: TP391.41
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【Secondary References】
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1 LIU Peng,WANG Jian,HUO Fu-gong,HE Peng-fei(National Key Laboratory of Electronic Testing North University of China,Taiyuan 030051,China);Research of methods for smoke and flame detection based on video[J];Sensor World;2010-10
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