Texture segmentation using gabor filter
The focus of this thesis is on the development of texture segmentation algorithm. The texture features are extracted using multi-channel Gabor filters. The ISODATA clustering algorithm is implemented for texture features discrimination.
Saved in:
Main Author: | Neo, Siong Huat. |
---|---|
Other Authors: | Chan, Kap Luk |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/13244 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Gabor filtering-based feature extraction for pathological image analysis
by: Lim, Wei Ming.
Published: (2012) -
Unsupervised multi-texture image segmentation
by: Neena Mittal
Published: (2008) -
Optimal gabor filter design for effective classification of images
by: Wang, Hai
Published: (2009) -
Design of optimal digital filters
by: Qiu, Guangju.
Published: (2012) -
Pre-modulation filter design
by: Cheong, Kit Weng.
Published: (2008)