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A fuzzy clustering approach to content-based image retrieval
In this study, an interactive Content-Based Image Retrieval (CBIR) system that allows searching and retrieving images from databases is designed and developed. Based on the fuzzy c-means clustering algorithm, the CBIR system fuses color and texture features in image segmentation. A technique to form compound queries based on the combined features of different images is devised. This technique allows users to have a better control on the search criteria, thus a higher retrieval performance can be achieved. A database consisting of skin cancer imagery is used to demonstrate the applicability of the CBIR system.
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Event
Advances in Intelligent Computing. Workshop (2009 : Kuala Lumpur, Malaysia)Pagination
11 - 16Publisher
[The Conference]Location
Kuala Lumpur, MalaysiaPlace of publication
[Kuala Lumpur, Malaysia]Start date
2009-12-07Language
engPublication classification
E1.1 Full written paper - refereedTitle of proceedings
ICONIP 2009 : Proceedings of the Post ICONIP 2009 Workshop on Advances in Intelligent ComputingUsage metrics
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