A fuzzy clustering approach to content-based image retrieval
Contribuinte(s) |
[Unknown] |
---|---|
Data(s) |
01/01/2009
|
Resumo |
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.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
[The Conference] |
Relação |
http://dro.deakin.edu.au/eserv/DU:30050276/ooi-fuzzyclustering-2009.pdf http://spict.utar.edu.my/waic-09cd/contents/pdf/waic09-1.3.pdf |
Palavras-Chave | #content-based image retrieval #fuzzy c-means clustering #co-occurrence matrix #color-texture image segmentation #compound queries |
Tipo |
Conference Paper |