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Content Provider | IEEE Xplore Digital Library |
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Author | Bajcsy, R. Lee, S.W. Leonardis, A. |
Copyright Year | 1990 |
Description | Author affiliation: Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA (Bajcsy, R.; Lee, S.W.; Leonardis, A.) |
Abstract | A computational model for color image segmentation is proposed based on the physical properties of sensors, illumination lights, and surface reflectances. For image segmentation to depend only on the change of material surface, variations of surface reflection due to illumination, shading, shadows, and highlights should be discounted from a measured image. The authors use the dichromatic model for dielectric materials and develop a metric space of intensity, hue, and saturation in order to interpret various light-surface interactions better. Using the established model for surface reflection, the authors perform color image segmentation based on the material change with detection of highlights and small interreflections between adjacent objects. A reference plate is used to whiten global illumination. The detected interreflections represent local variation of illumination. |
Starting Page | 785 |
Ending Page | 790 |
File Size | 696272 |
Page Count | 6 |
File Format | |
ISBN | 0818620625 |
DOI | 10.1109/ICPR.1990.118217 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1990-06-16 |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Color Image segmentation Lighting Dielectric materials Optical reflection Physics computing Computational modeling Image sensors Dielectric measurements Extraterrestrial measurements |
Content Type | Text |
Resource Type | Article |
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