Shadow Detection and Removal from Solo Natural Image Based on Retinex Theory
文献类型:会议论文
作者 | Sun J(孙静)![]() ![]() |
出版日期 | 2008 |
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 |
关键词 | Shadow detection Shadow removal Retinex Theory Machine Vision |
页码 | 660-668 |
中文摘要 | 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. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
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
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会议录出版者 | SPRINGER-VERLAG |
会议录出版地 | BERLIN |
语种 | 英语 |
ISSN号 | 0302-9743 |
ISBN号 | 978-3-540-88516-0 |
WOS记录号 | WOS:000261049200071 |
源URL | [http://ir.sia.cn/handle/173321/8873] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
推荐引用方式 GB/T 7714 | Sun J,Du YK,Tang YD. Shadow Detection and Removal from Solo Natural Image Based on Retinex Theory[C]. 见:1st International Conference Intelligent Robotics and Applications. Wuhan, China. October 15-17, 2008. |
入库方式: OAI收割
来源:沈阳自动化研究所
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