Unsupervised multi-texture image segmentation

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
Description
Summary: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.

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