Image Color Registration for Illumination-Robust Pattern Recognition
Image-based pattern recognition techniques have attracted much attention in vision-based applications. Color-based methods have shown several benefits. However, due to color variations resulting from illumination changes, many color-based techniques have yet to demonstrate stable performance. For il...
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| Veröffentlicht in: | Circuits, systems, and signal processing systems, and signal processing, 2014-12, Vol.33 (12), p.3839-3860 |
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| container_end_page | 3860 |
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| container_issue | 12 |
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| container_title | Circuits, systems, and signal processing |
| container_volume | 33 |
| creator | Yang, Ukil Kang, Minsung Son, Jongin Sohn, Kwanghoon |
| description | Image-based pattern recognition techniques have attracted much attention in vision-based applications. Color-based methods have shown several benefits. However, due to color variations resulting from illumination changes, many color-based techniques have yet to demonstrate stable performance. For illumination-robust pattern recognition, we propose an image color registration method based on an image acquisition model. Since the image acquisition model is created using the variables related to an illumination condition, camera characteristics, and an object’s surface reflectance, the proposed method normalizes the image’s color by taking into account both the illumination and camera characteristics. To evaluate the performance of the proposed method in terms of illumination-robust pattern recognition, we perform both an image similarity test and a feature similarity test between images acquired under different illumination conditions. Through the experiments, the superiority and the usefulness of the proposed method was validated. |
| doi_str_mv | 10.1007/s00034-014-9819-0 |
| format | Article |
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Color-based methods have shown several benefits. However, due to color variations resulting from illumination changes, many color-based techniques have yet to demonstrate stable performance. For illumination-robust pattern recognition, we propose an image color registration method based on an image acquisition model. Since the image acquisition model is created using the variables related to an illumination condition, camera characteristics, and an object’s surface reflectance, the proposed method normalizes the image’s color by taking into account both the illumination and camera characteristics. To evaluate the performance of the proposed method in terms of illumination-robust pattern recognition, we perform both an image similarity test and a feature similarity test between images acquired under different illumination conditions. 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Color-based methods have shown several benefits. However, due to color variations resulting from illumination changes, many color-based techniques have yet to demonstrate stable performance. For illumination-robust pattern recognition, we propose an image color registration method based on an image acquisition model. Since the image acquisition model is created using the variables related to an illumination condition, camera characteristics, and an object’s surface reflectance, the proposed method normalizes the image’s color by taking into account both the illumination and camera characteristics. To evaluate the performance of the proposed method in terms of illumination-robust pattern recognition, we perform both an image similarity test and a feature similarity test between images acquired under different illumination conditions. Through the experiments, the superiority and the usefulness of the proposed method was validated.</description><subject>Cameras</subject><subject>Circuits</subject><subject>Circuits and Systems</subject><subject>Color</subject><subject>Electrical Engineering</subject><subject>Electronics and Microelectronics</subject><subject>Engineering</subject><subject>Illumination</subject><subject>Image acquisition</subject><subject>Image processing systems</subject><subject>Instrumentation</subject><subject>Pattern recognition</subject><subject>Pattern recognition systems</subject><subject>Reflectivity</subject><subject>Signal,Image and Speech Processing</subject><subject>Similarity</subject><issn>0278-081X</issn><issn>1531-5878</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kE9LxDAQxYMouK5-AG8FL16iM2nTJEdZ_y0IyqLgLWTTtHRpmzVpD357s64HETwNvPm9x8wj5BzhCgHEdQSAvKCABVUSFYUDMkOeI-VSyEMyAyYkBYnvx-Qkxg0AqkKxGbld9qZx2cJ3PmQr17RxDGZs_ZDVSVh23dS3w7dAV349xTF7MePowpBg65uh3a1OyVFtuujOfuacvN3fvS4e6dPzw3Jx80RtDjhSqwyzwhYcbc4rLmpAhhKRV0zWFkVVsdyoSqHDtajMGhiTMkfLSs55qXg-J5f73G3wH5OLo-7baF3XmcH5KWosORaMp18TevEH3fgpDOm6RLFSyEIpmSjcUzb4GIOr9Ta0vQmfGkHvetX7XnXqVe961ZA8bO-JiR0aF34l_2v6AnpDeUI</recordid><startdate>20141201</startdate><enddate>20141201</enddate><creator>Yang, Ukil</creator><creator>Kang, Minsung</creator><creator>Son, Jongin</creator><creator>Sohn, Kwanghoon</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7XB</scope><scope>88I</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope></search><sort><creationdate>20141201</creationdate><title>Image Color Registration for Illumination-Robust Pattern Recognition</title><author>Yang, Ukil ; 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| subjects | Cameras Circuits Circuits and Systems Color Electrical Engineering Electronics and Microelectronics Engineering Illumination Image acquisition Image processing systems Instrumentation Pattern recognition Pattern recognition systems Reflectivity Signal,Image and Speech Processing Similarity |
| title | Image Color Registration for Illumination-Robust Pattern Recognition |
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