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Research Journal of Engineering and Technology
ISSN: 2321-581X(Online), 0976-2973(Print)
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Color-Texture Image Segmentation Algorithms based on Hypercomplex Gabor Analysis
B.D. Venkatramana Reddy
T. Jayachandra Prasad
B.D. Venkatramana Reddy1 and T. Jayachandra Prasad2
1Department of Electronics and Communication Engineering, Madanapalle Institute of Technology and Science, Madanapalle-517325, Andhra Pradesh, India
2Department of Electronics and Communication Engineering, RGM College of Engineering and Technology, Nandyal-518501, Andhra Pradesh, India
Texture analysis such as segmentation and classification plays a vital role in computer vision and pattern recognition and is widely applied to many areas such as industrial automation, bio-medical image processing and remote sensing. In this paper, we first extend the well-known Gabor filters to color images using a specific form of hypercomplex numbers known as quaternions. Based on this extension this paper presents the use of these new quaternionic Gabor filters in colour texture image segmentation. Different types of segmentation algorithms based on these quaternionic Gabor filters have been followed to carry out texture segmentation. Both linear and circular quaternionic Gabor filters are analyzed in this aspect and how circular filters are better in comparison to linear filters is also analyzed.
Color texture image segmentation, Gabor filters, Quaternions, Texture analysis.
B.D. Venkatramana Reddy, T. Jayachandra Prasad. Color-Texture Image Segmentation Algorithms based on Hypercomplex Gabor Analysis. Research J. Engineering and Tech. 2(2): April-June 2011 page 77-86.
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