Fusion approach to content based image retrieval using color and phase congruency

Based on a user's query, Content Based Image Retrieval (CBIR) returns photos of similar types from an image repository. It is necessary to extract colour, texture, or shape attributes from the photographs and store them in the feature database in order to find comparable images. The properties of the query image such as its colour, texture, or shape are compared to those of the photos stored in the database. CBIR is a image retrieval system that retrieves similar type of images from database of images. Generating a novel set of descriptors for feature matching is challenging task in IR Systems. Colour, texture, or shape distance measurements are used in this comparison. In order to increase the CBIR System's accuracy, we present a novel system that integrates colour and log Gabor wavelet-based feature detectors.