Unsupervised multi-texture image segmentation

Texture is a prevalent property of most physical surfaces in the natural world. Its analysis is one of the most important techniques used in image processing and pattern recognition. Many common low level vision algorithms such as edge detection break down when applied to images that contain textur...

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Bibliographic Details
Main Author:	Neena Mittal
Other Authors:	Mital, Dinesh Prakash
Format:	Theses and Dissertations
Language:	English
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:	http://hdl.handle.net/10356/13271
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-13271
record_format	dspace
spelling	sg-ntu-dr.10356-132712023-07-04T15:12:27Z Unsupervised multi-texture image segmentation Neena Mittal Mital, Dinesh Prakash School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Texture is a prevalent property of most physical surfaces in the natural world. Its analysis is one of the most important techniques used in image processing and pattern recognition. Many common low level vision algorithms such as edge detection break down when applied to images that contain textured surfaces. It is therefore crucial to have robust and efficient methods for processing textured images. Master of Engineering 2008-07-08T07:54:51Z 2008-10-20T07:22:29Z 2008-07-08T07:54:51Z 2008-10-20T07:22:29Z 1999 1999 Thesis http://hdl.handle.net/10356/13271 en 132 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::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Neena Mittal Unsupervised multi-texture image segmentation
description	Texture is a prevalent property of most physical surfaces in the natural world. Its analysis is one of the most important techniques used in image processing and pattern recognition. Many common low level vision algorithms such as edge detection break down when applied to images that contain textured surfaces. It is therefore crucial to have robust and efficient methods for processing textured images.
author2	Mital, Dinesh Prakash
author_facet	Mital, Dinesh Prakash Neena Mittal
format	Theses and Dissertations
author	Neena Mittal
author_sort	Neena Mittal
title	Unsupervised multi-texture image segmentation
title_short	Unsupervised multi-texture image segmentation
title_full	Unsupervised multi-texture image segmentation
title_fullStr	Unsupervised multi-texture image segmentation
title_full_unstemmed	Unsupervised multi-texture image segmentation
title_sort	unsupervised multi-texture image segmentation
publishDate	2008
url	http://hdl.handle.net/10356/13271
_version_	1772828961035780096

Unsupervised multi-texture image segmentation

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