Color Texture Segmentation with Local Fuzzy Patterns and Spatially Constrained Fuzzy C-Means

Authors:
Przemysław Górecki;Laura Caponetti
Affiliations:
Wydział Matematyki i Informatyki, Uniwersytet Warmińsko-Mazurski, ul. Żołnierska 14, 10-561 Olsztyn, Poland;Dipartimento di Informatica, Università degli Studi di Bari, Via E. Orabona 4, 70126 Bari, Italy
Venue:
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Year:
2007

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Abstract

Texture and color are important cues in visual tasks such as image segmentation, classification and retrieval. In this work we propose an approach to image segmentation based on fuzzy feature distributions of color and texture information. Fuzzy C-Means clustering with spatial constraints is applied to the features extracted in the HSI color space. The effectiveness of the proposed approach is evaluated on a set of artificial and natural texture images.