Principal feature determination in textured image

Principal feature determination in textured image

Texture analysis has been an active research area in computer vision for more than two decades, and has proved to be a very difficult problem. This difficulty largely stems from the diversity of natural and artificial textures, which makes a universal definition of texture impossible. Compared to ot...

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Bibliographic Details
Main Author: Tang, Lai Meng.
Other Authors: Chan, Kap Luk
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/19576
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Institution: Nanyang Technological University
Language: English
Description
Summary:Texture analysis has been an active research area in computer vision for more than two decades, and has proved to be a very difficult problem. This difficulty largely stems from the diversity of natural and artificial textures, which makes a universal definition of texture impossible. Compared to other approaches, the multi-channel filtering approach to texture analysis is more general and applies to a larger class of textures. This generality is a direct consequence of reliance on the basic attributes of frequency and orientation, and the inherent multi-resolution nature of the approach.

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