A Intuitionistic fuzzy feature extraction for query image retrieval from colour images

In this paper we propose a query image retrieval technique using fuzzified features extracted from the co-occurrence matrices. Among the fourteen features proposed by Haralick, three features Angular secondary momentum (ASM), Entropy and Contrast are computed from crisp and fuzzy co-occurrence matrices. The above said features are also computed by proposed new formulae based on fuzzy and Intuitionistic fuzzy concepts. The fuzzy features are compared with the crisp features by sensitivity analysis and the superiority of the former over the latter is established. The above features are used for query image retrieval on monochrome as well as color images. It is established that in noisy environment, the proposed fuzzy features successfully retrieve the query, where the crisp feature either fail to retrieve the query or result in multi faulty retrievals.