Principal feature determination in textured image

• 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
• Institution: Nanyang Technological University

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.