Real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition
Feature extraction and pattern recognition plays an important pat in computer vision applications. The concern of this study is with the development of region labeling and segmentation technique for feature extraction and pattern recognition in color video images. The focus of this research is to us...
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| Format: | Thesis |
| Language: | English |
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Universiti Malaysia Sarawak, (UNIMAS)
2011
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| Online Access: | http://ir.unimas.my/id/eprint/13110/ http://ir.unimas.my/id/eprint/13110/2/Lydia%20Ubong%20Jau.pdf |
| _version_ | 1848837341213360128 |
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| author | Lydia, Ubong Jau |
| author_facet | Lydia, Ubong Jau |
| author_sort | Lydia, Ubong Jau |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | Feature extraction and pattern recognition plays an important pat in computer vision applications. The concern of this study is with the development of region labeling and segmentation technique for feature extraction and pattern recognition in color video images. The focus of this research is to use color information and Connected Component Labeling (CCL) technique in the object-based video segmentation application. |
| first_indexed | 2025-11-15T06:38:07Z |
| format | Thesis |
| id | unimas-13110 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:38:07Z |
| publishDate | 2011 |
| publisher | Universiti Malaysia Sarawak, (UNIMAS) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-131102023-03-06T08:14:27Z http://ir.unimas.my/id/eprint/13110/ Real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition Lydia, Ubong Jau Q Science (General) Feature extraction and pattern recognition plays an important pat in computer vision applications. The concern of this study is with the development of region labeling and segmentation technique for feature extraction and pattern recognition in color video images. The focus of this research is to use color information and Connected Component Labeling (CCL) technique in the object-based video segmentation application. Universiti Malaysia Sarawak, (UNIMAS) 2011 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/13110/2/Lydia%20Ubong%20Jau.pdf Lydia, Ubong Jau (2011) Real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition. Masters thesis, Faculty of Cognitive Sciences and Human Development. |
| spellingShingle | Q Science (General) Lydia, Ubong Jau Real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition |
| title | Real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition |
| title_full | Real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition |
| title_fullStr | Real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition |
| title_full_unstemmed | Real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition |
| title_short | Real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition |
| title_sort | real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition |
| topic | Q Science (General) |
| url | http://ir.unimas.my/id/eprint/13110/ http://ir.unimas.my/id/eprint/13110/2/Lydia%20Ubong%20Jau.pdf |