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.
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Abstract
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.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | Thesis (M.Sc.) -- Universiti Malaysia Sarawak, 2011. |
| Uncontrolled Keywords: | Real-time data processing, Real-time programming,0 Real-time control, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, Postgraduate, research, Universiti Malaysia Sarawak |
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development Faculties, Institutes, Centres > Faculty of Cognitive Sciences and Human Development Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development |
| Depositing User: | Saman |
| Date Deposited: | 18 Aug 2016 23:22 |
| Last Modified: | 06 Mar 2023 08:14 |
| URI: | http://ir.unimas.my/id/eprint/13110 |
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