Image classification and region analysis using statistical approach

Image classification and region analysis using statistical approach

One of the difficult problems in the indexing and retrieving of image database is to find an effective and robust method to classify images. The classification, however depends on the features obtained from image. In this thesis, we study two approaches using color and texture feature for classifica...

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Main Author: Ying, Cao.
Other Authors: Liu, Jun
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/3896
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3896
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spelling sg-ntu-dr.10356-38962023-07-04T16:48:53Z Image classification and region analysis using statistical approach Ying, Cao. Liu, Jun School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing One of the difficult problems in the indexing and retrieving of image database is to find an effective and robust method to classify images. The classification, however depends on the features obtained from image. In this thesis, we study two approaches using color and texture feature for classification of color image and texture image, respectively. Master of Engineering 2008-09-17T09:39:52Z 2008-09-17T09:39:52Z 2000 2000 Thesis http://hdl.handle.net/10356/3896 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Ying, Cao.
Image classification and region analysis using statistical approach
description One of the difficult problems in the indexing and retrieving of image database is to find an effective and robust method to classify images. The classification, however depends on the features obtained from image. In this thesis, we study two approaches using color and texture feature for classification of color image and texture image, respectively.
author2 Liu, Jun
author_facet Liu, Jun
Ying, Cao.
format Theses and Dissertations
author Ying, Cao.
author_sort Ying, Cao.
title Image classification and region analysis using statistical approach
title_short Image classification and region analysis using statistical approach
title_full Image classification and region analysis using statistical approach
title_fullStr Image classification and region analysis using statistical approach
title_full_unstemmed Image classification and region analysis using statistical approach
title_sort image classification and region analysis using statistical approach
publishDate 2008
url http://hdl.handle.net/10356/3896
_version_ 1772825945937281024

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