Texture features for image classification and retrieval

Texture is an important element of vision, and it occurs in a variety of natural and man-made objects. Being abundant in this world, humans often use textures as cues to recognize many kinds of objects. Various commercial applications have successfully used texture as a basis for image representatio...

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Main Author: Wong, Kee Tung.
Other Authors: Ho, Anthony Tung Shuen
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/3749
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3749
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spelling sg-ntu-dr.10356-37492023-07-04T15:08:29Z Texture features for image classification and retrieval Wong, Kee Tung. Ho, Anthony Tung Shuen School of Electrical and Electronic Engineering Chen, Yan Qiu DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Texture is an important element of vision, and it occurs in a variety of natural and man-made objects. Being abundant in this world, humans often use textures as cues to recognize many kinds of objects. Various commercial applications have successfully used texture as a basis for image representation. Textures can be analyzed by measuring some quantities from the power spectrum. Master of Engineering 2008-09-17T09:36:43Z 2008-09-17T09:36:43Z 2002 2002 Thesis http://hdl.handle.net/10356/3749 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
Wong, Kee Tung.
Texture features for image classification and retrieval
description Texture is an important element of vision, and it occurs in a variety of natural and man-made objects. Being abundant in this world, humans often use textures as cues to recognize many kinds of objects. Various commercial applications have successfully used texture as a basis for image representation. Textures can be analyzed by measuring some quantities from the power spectrum.
author2 Ho, Anthony Tung Shuen
author_facet Ho, Anthony Tung Shuen
Wong, Kee Tung.
format Theses and Dissertations
author Wong, Kee Tung.
author_sort Wong, Kee Tung.
title Texture features for image classification and retrieval
title_short Texture features for image classification and retrieval
title_full Texture features for image classification and retrieval
title_fullStr Texture features for image classification and retrieval
title_full_unstemmed Texture features for image classification and retrieval
title_sort texture features for image classification and retrieval
publishDate 2008
url http://hdl.handle.net/10356/3749
_version_ 1772827445082193920