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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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Bibliographic Details
Main Author: Lydia, Ubong Jau
Format: Thesis
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2011
Subjects:
Q Science (General)
Online Access:http://ir.unimas.my/id/eprint/13110/2/Lydia%20Ubong%20Jau.pdf
http://ir.unimas.my/id/eprint/13110/
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spelling my.unimas.ir.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.
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic Q Science (General)
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
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.
format Thesis
author Lydia, Ubong Jau
author_facet Lydia, Ubong Jau
author_sort Lydia, Ubong Jau
title 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_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_sort real-time video segmentation using color information and connected component labeling:application to road sign detection and recognition
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2011
url http://ir.unimas.my/id/eprint/13110/2/Lydia%20Ubong%20Jau.pdf
http://ir.unimas.my/id/eprint/13110/
_version_ 1759693290809065472
score 13.211869

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