Illumination-invariant color object recognition and novel color segmentation techniques
With the fast development of computer technology, computer vision has been widely exploited to recognize objects in various environments without human intervention. The tasks of object recognition system include identifying the ob-jects in the scene and determining the region occupied by these objec...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/3669 |
| _version_ | 1826112320546275328 |
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| author | Wang, Junxian. |
| author2 | Ma, Kai-Kuang |
| author_facet | Ma, Kai-Kuang Wang, Junxian. |
| author_sort | Wang, Junxian. |
| collection | NTU |
| description | With the fast development of computer technology, computer vision has been widely exploited to recognize objects in various environments without human intervention. The tasks of object recognition system include identifying the ob-jects in the scene and determining the region occupied by these objects. Gen-erally, there are two factors that will influence the performance of the color object recognition: 1) the variation in environmental illuminations; 2) the ac-curacy of the extracted boundary of interesting regions and objects. Based on these two factors, in this thesis, research has been devoted on improving the performance of color object recognition by extracting illumination-invariant features and proposing novel color segmentation techniques. These novel color segmentation techniques involved two aspects: 1) from perceptually uniform color distance—measuring the color distance between each pixel and other ref-erence points, 2) from object material— computing the reflectance spectrum of object's surface. |
| first_indexed | 2024-10-01T03:05:04Z |
| format | Thesis |
| id | ntu-10356/3669 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T03:05:04Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/36692023-07-04T15:15:08Z Illumination-invariant color object recognition and novel color segmentation techniques Wang, Junxian. Ma, Kai-Kuang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing With the fast development of computer technology, computer vision has been widely exploited to recognize objects in various environments without human intervention. The tasks of object recognition system include identifying the ob-jects in the scene and determining the region occupied by these objects. Gen-erally, there are two factors that will influence the performance of the color object recognition: 1) the variation in environmental illuminations; 2) the ac-curacy of the extracted boundary of interesting regions and objects. Based on these two factors, in this thesis, research has been devoted on improving the performance of color object recognition by extracting illumination-invariant features and proposing novel color segmentation techniques. These novel color segmentation techniques involved two aspects: 1) from perceptually uniform color distance—measuring the color distance between each pixel and other ref-erence points, 2) from object material— computing the reflectance spectrum of object's surface. Doctor of Philosophy (EEE) 2008-09-17T09:34:52Z 2008-09-17T09:34:52Z 2003 2003 Thesis http://hdl.handle.net/10356/3669 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Wang, Junxian. Illumination-invariant color object recognition and novel color segmentation techniques |
| title | Illumination-invariant color object recognition and novel color segmentation techniques |
| title_full | Illumination-invariant color object recognition and novel color segmentation techniques |
| title_fullStr | Illumination-invariant color object recognition and novel color segmentation techniques |
| title_full_unstemmed | Illumination-invariant color object recognition and novel color segmentation techniques |
| title_short | Illumination-invariant color object recognition and novel color segmentation techniques |
| title_sort | illumination invariant color object recognition and novel color segmentation techniques |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/3669 |
| work_keys_str_mv | AT wangjunxian illuminationinvariantcolorobjectrecognitionandnovelcolorsegmentationtechniques |