To realize a system for textile design patterns retrieval, we adopt an Image Indexing MethodBased Region. This indexing method is achieved by regions segmentation process followed by regions indexing one. Note that the later indexing process strongly depends on the quality of produced segmentation, and will have a negative impact on retrieval results. Therefore, an efficient segmentation method must be developed. In this paper, we propose an adaptive and efficient unsupervised color image segmentation method. The proposed method is based on Gaussian Mixture Model, and cluster validity index. The model parameters are estimated using EM algorithm, and the optimal cluster number is detected by Cluster Validity Index. Using this method, the design patterns are well extracted. In the second part of this work, the outcome of this segmentation results will be supplied to the input of the indexing process to complete our retrieval system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.