Texture search engine

Texture image retrievals are gaining its popularity among the Computer Graphics committees in the World Wide Web (WWW). Many a times, graphic artists failed to retrieve their desire results as most texture image retrievals available are based on descriptive text. Exploiting on their artistic nature,...

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Main Author: Low, Wei Lian.
Other Authors: Henry Johan
Format: Final Year Project
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/43888
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-438882023-03-03T20:28:35Z Texture search engine Low, Wei Lian. Henry Johan School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Texture image retrievals are gaining its popularity among the Computer Graphics committees in the World Wide Web (WWW). Many a times, graphic artists failed to retrieve their desire results as most texture image retrievals available are based on descriptive text. Exploiting on their artistic nature, user input is proposed in the paper to be based on sketch. Leveraging on Content Based Image Retrieval, we combined shape context techniques together with feature tracking techniques to search for similar patterns. Shape context is used as a primary contention to search for potential similar patterns while feature tracking technique is used for similarity measures to compute the ranking between texture images. The combined effort of both techniques yields a satisfactory result of 95% on a texture database filled with alphabetical patterns, with each texture image uniquely representing a letter. Bachelor of Engineering (Computer Science) 2011-05-12T04:06:03Z 2011-05-12T04:06:03Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/43888 en Nanyang Technological University 54 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics
Low, Wei Lian.
Texture search engine
description Texture image retrievals are gaining its popularity among the Computer Graphics committees in the World Wide Web (WWW). Many a times, graphic artists failed to retrieve their desire results as most texture image retrievals available are based on descriptive text. Exploiting on their artistic nature, user input is proposed in the paper to be based on sketch. Leveraging on Content Based Image Retrieval, we combined shape context techniques together with feature tracking techniques to search for similar patterns. Shape context is used as a primary contention to search for potential similar patterns while feature tracking technique is used for similarity measures to compute the ranking between texture images. The combined effort of both techniques yields a satisfactory result of 95% on a texture database filled with alphabetical patterns, with each texture image uniquely representing a letter.
author2 Henry Johan
author_facet Henry Johan
Low, Wei Lian.
format Final Year Project
author Low, Wei Lian.
author_sort Low, Wei Lian.
title Texture search engine
title_short Texture search engine
title_full Texture search engine
title_fullStr Texture search engine
title_full_unstemmed Texture search engine
title_sort texture search engine
publishDate 2011
url http://hdl.handle.net/10356/43888
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