Texture Segmentation Using Gabor Filters and Wavelets

Mishra, P and Chatterjee, R and Mahapatra, V (2010) Texture Segmentation Using Gabor Filters and Wavelets. BTech thesis.



The present work deals with image segmentation which results in the subdivision of an image into its constituent regions or objects. The result of image segmentation is a set of segments that collectively cover the entire image or a set of contours extracted from the image. Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity or texture. Specifically this project deals with texture segmentation of an image to find out the different types of textures present in the image.
In this project different type of procedures have been followed to carry out texture segmentation. Procedures starting from fundamental filter transforms till multi-resolution technique using wavelet transform have been considered. Many texture-segmentation schemes are based on a filter-bank model, where the filters called Gabor filters are derived from Gabor elementary functions. Both linear and circular Gabor filters are studied and analyzed in this aspect and how these filters are better in comparison to linear filters is also analyzed. Different types of wavelet transform techniques like Haar transform, S transform, etc. are followed and their performance regarding texture segmentation is being studied.

Item Type:Thesis (BTech)
Uncontrolled Keywords:Segmentation,Gabor Filter,Wavelet,Haar transform
Subjects:Engineering and Technology > Computer and Information Science > Image Processing
Divisions: Engineering and Technology > Department of Computer Science
ID Code:1616
Deposited By:Venkatesh Mahapatra
Deposited On:11 May 2010 09:45
Last Modified:13 Jun 2012 16:23
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Supervisor(s):Baliarsingh, R

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