An Efficient Content Based Image Retrieval Using Advanced Filter Approaches
Manoharan Subramanian1 and Sathappan Sathappan2
1Department of Computer Science (PG), Kongu Arts and Science College, India
2Department of Computer Science, Erode Arts and Science College, India
Abstract: In general the users are in need to retrieve images from a collection of database images from variety of domains. In earlier phase this need was satisfied by retrieving the relevant images from different database simply. Where there is a bottleneck that the images retrieved was not relevant much to the user query because the images were not retrieved based on content where another drawback is that the manual searching time is increased. To avoid this Content - Based Image Retrieval (CBIR) is developed it is a technique for retrieving images on the basis of automatically - derived features such as colour, texture and shape of images. To provide a best result in proposed work we are implementing high level filtering where we are using the Anisotropic Morphological Filters, hierarchical Kaman filter and particle filter proceeding with feature extraction method based on color and gray level feature and after this the results were normalized.
Keywords: CBIR, anisotropic morphological filters, hierarchical kaman filter and particle filter, mahalanobis distance, color feature extraction, gray-level extraction.
Received January 13, 2013; accept January 29, 2014