A comparative study of different texture segmentation techniques

Authors:
Madasu Hanmandlu;Shilpa Agarwal;Anirban Das
Affiliations:
Dept. of Electrical Engineering, I.I.T Delhi, Hauz Khas, New Delhi, India;Dept. of Electrical Engineering, I.I.T Delhi, Hauz Khas, New Delhi, India;Dept. of Computer Science, Jamia Millia Islamia University, New Delhi, India
Venue:
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Year:
2005

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Abstract

Image segmentation techniques are very useful in the analysis of aerial images, biomedical images and seismic images as well as in the automation of industrial applications. The paper presents a few texture-specific features for the segmentation of texture images. We will present four approaches to texture segmentation, viz, descriptor based, heuristic function based, defuzzified feature based and Mask feature based. We have mainly used FCM for texture segmentation.