Fuzzy clustering of color and texture features for image segmentation: a study on satellite image retrieval

Authors:
W. S. Ooi;C. P. Lim
Affiliations:
School of Electrical and Electronic Engineering, University of Science Malaysia, Nibong Tebal, Penang, Malaysia;School of Electrical and Electronic Engineering, University of Science Malaysia, Nibong Tebal, Penang, Malaysia
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2006

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Abstract

In this paper, a new image segmentation approach that integrates color and texture features using the fuzzy c-means clustering algorithm is described. To demonstrate the applicability of the proposed approach to satellite image retrieval, an interactive region-based image query system is designed and developed. A database comprising 400 multispectral satellite images is used to evaluate the performance of the system. The results are analyzed and discussed, and a performance comparison with other methods is included. The outcomes reveal that the proposed approach is able to improve the quality of the segmentation results as well as the retrieval performance.