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题名: Shadow Detection and Removal from Solo Natural Image Based on Retinex Theory
作者: Sun J(孙静) ; Du YK(杜英魁) ; Tang YD(唐延东)
作者部门: 机器人学研究室
会议名称: 1st International Conference Intelligent Robotics and Applications
会议日期: October 15-17, 2008
会议地点: Wuhan, China
会议主办者: Huazhong Univ Sci & Technol, Natl Nat Sci Fdn China, HUST, Sch Mech Sci & Engn, State Key Lab Digital Mfg Equipment & Technol, State Key Lab Robot, State Key Lab Mech Syst & Vibrat
会议录: INTELLIGENT ROBOTICS AND APPLICATIONS, PT I, PROCEEDINGS
会议录出版者: SPRINGER-VERLAG
会议录出版地: BERLIN
出版日期: 2008
页码: 660-668
收录类别: CPCI(ISTP) ; EI
ISSN号: 0302-9743
ISBN号: 978-3-540-88516-0
关键词: Shadow detection ; Shadow removal ; Retinex Theory ; Machine Vision
摘要: Shadows are physical phenomena observed in most natural scenes. They can cause many problems in computer vision performance. The paper addresses the problem of shadow detection and removal from solo image of natural scenes. Our method is based on Retinex theory which is an image enhancement and illumination compensation model of the lightness and color perception of human vision. The approach proposed here does not use any special prior knowledge and assumptions. The shadow extraction algorithm originates from a simple idea that the human-vision-based Retinex has the natural ability to enhance the shadow region of an image no matter it is penumbrae or umbrae. The penumbrae and umbrae regions will be highlighted if we compare the Retinex-enhanced images with original images. Then through adding smooth light forcibly to shadow edges and introducing shadow edge masks, we reduce the effects of shadow edges in the Retinex enhancement processing. Experiment results validate the approach.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8873
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
孙静; 杜英魁; 唐延东.Shadow Detection and Removal from Solo Natural Image Based on Retinex Theory.见:SPRINGER-VERLAG.INTELLIGENT ROBOTICS AND APPLICATIONS, PT I, PROCEEDINGS,BERLIN,2008,660-668
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