Content based Image Retrieval Method using Fuzzy Heuristics

Abstract

Content based image retrieval (CBIR) refers to image content that is retrieved directly, by which the images with featuresor containing certain contents will be searched in an image database. The main idea of CBIR is to analyze imageinformation by low level features of an image, which includes colour, texture, shape and space relationship of objects etc.,and to set up feature vectors of an image as its index. A new CBIR search engine is proposed using three features andsimilarity is measured and controlled by fuzzy heuristics. CBIR Search Engine relies on the characterization of primitivefeaturessuchascolour,shapeandtexturethatareautomaticallyextractedfromtheimages.Thereareseveraltechniquesto deal with CBIR problems for retrieving the relevant images. CBIR proposed by using three methods. Colour feature isextracted by using histogram-based method, texture feature is extracted by using Gabor filter and shape feature is bymoment invariant algorithm. For searching the similar images with the database similarity measure is calculated and iscontrolled by using fuzzy. Fuzzy similarity measure is implemented by using Mamdani fuzzy inference method. The useof these three algorithms ensures that the image retrieval approach produces images which are relevant to the content ofanimagequery.