A new approach for unsupervised segmentation

Authors:
G. Wiselin Jiji;L. Ganesan
Affiliations:
Computer Science & Engineering Department, Sivanthi Aditanar College of Engineering, Tiruchendur, Tamilnadu, India;Computer Science & Engineering Department, A.C. College of Engineering & Technology, Karaikudi, Tamilnadu, India
Venue:
Applied Soft Computing
Year:
2010

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Abstract

Texture is an important spatial feature useful for identifying objects or regions of interest in an image. This paper presents two fuzzy logic-based approaches for colour textures. They are fuzzy texture unit and colour fuzzy texture spectrum. A method is proposed for segmentation using colour fuzzy texture descriptor for colour texture images. This paper discusses two steps. Firstly, the presence of colour texture is locally as well as globally represented. Secondly, with the proposed global descriptor, segmentation operation is performed by SOMs algorithm. Compared with moment features, our method achieves good segmentation results on colour texture images, demonstrating the performance of our proposal.