Color constant color indexing
Objects can be recognized on the basis of their color alone by color indexing, a technique developed by Swain-Ballard (1991) which involves matching color-space histograms. Color indexing fails, however, when the incident illumination varies either spatially or spectrally. Although this limitation m...
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| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence 1995-05, Vol.17 (5), p.522-529 |
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| container_title | IEEE transactions on pattern analysis and machine intelligence |
| container_volume | 17 |
| creator | Funt, B.V. Finlayson, G.D. |
| description | Objects can be recognized on the basis of their color alone by color indexing, a technique developed by Swain-Ballard (1991) which involves matching color-space histograms. Color indexing fails, however, when the incident illumination varies either spatially or spectrally. Although this limitation might be overcome by preprocessing with a color constancy algorithm, we instead propose histogramming color ratios. Since the ratios of color RGB triples from neighboring locations are relatively insensitive to changes in the incident illumination, this circumvents the need for color constancy preprocessing. Results of tests with the new color-constant-color-indexing algorithm on synthetic and real images show that it works very well even when the illumination varies spatially in its intensity and color.< > |
| doi_str_mv | 10.1109/34.391390 |
| format | Article |
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Color indexing fails, however, when the incident illumination varies either spatially or spectrally. Although this limitation might be overcome by preprocessing with a color constancy algorithm, we instead propose histogramming color ratios. Since the ratios of color RGB triples from neighboring locations are relatively insensitive to changes in the incident illumination, this circumvents the need for color constancy preprocessing. Results of tests with the new color-constant-color-indexing algorithm on synthetic and real images show that it works very well even when the illumination varies spatially in its intensity and color.< ></description><identifier>ISSN: 0162-8828</identifier><identifier>EISSN: 1939-3539</identifier><identifier>DOI: 10.1109/34.391390</identifier><identifier>CODEN: ITPIDJ</identifier><language>eng</language><publisher>Los Alamitos, CA: IEEE</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Computer vision ; Exact sciences and technology ; Image color analysis ; Image recognition ; Indexing ; Layout ; Machine intelligence ; Object recognition ; Pattern analysis ; Pattern recognition ; Pattern recognition. Digital image processing. 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Color indexing fails, however, when the incident illumination varies either spatially or spectrally. Although this limitation might be overcome by preprocessing with a color constancy algorithm, we instead propose histogramming color ratios. Since the ratios of color RGB triples from neighboring locations are relatively insensitive to changes in the incident illumination, this circumvents the need for color constancy preprocessing. Results of tests with the new color-constant-color-indexing algorithm on synthetic and real images show that it works very well even when the illumination varies spatially in its intensity and color.< ></description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Computer vision</subject><subject>Exact sciences and technology</subject><subject>Image color analysis</subject><subject>Image recognition</subject><subject>Indexing</subject><subject>Layout</subject><subject>Machine intelligence</subject><subject>Object recognition</subject><subject>Pattern analysis</subject><subject>Pattern recognition</subject><subject>Pattern recognition. Digital image processing. 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Digital image processing. 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Color indexing fails, however, when the incident illumination varies either spatially or spectrally. Although this limitation might be overcome by preprocessing with a color constancy algorithm, we instead propose histogramming color ratios. Since the ratios of color RGB triples from neighboring locations are relatively insensitive to changes in the incident illumination, this circumvents the need for color constancy preprocessing. Results of tests with the new color-constant-color-indexing algorithm on synthetic and real images show that it works very well even when the illumination varies spatially in its intensity and color.< ></abstract><cop>Los Alamitos, CA</cop><pub>IEEE</pub><doi>10.1109/34.391390</doi><tpages>8</tpages></addata></record> |
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| ispartof | IEEE transactions on pattern analysis and machine intelligence, 1995-05, Vol.17 (5), p.522-529 |
| issn | 0162-8828 1939-3539 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Computer vision Exact sciences and technology Image color analysis Image recognition Indexing Layout Machine intelligence Object recognition Pattern analysis Pattern recognition Pattern recognition. Digital image processing. Computational geometry |
| title | Color constant color indexing |
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