Fuzzy tolerance neighborhood approach to image similarity in content-based image retrieval

The problem addressed in this research is how to quantify the notion of similarity between two images with the main focus on content-based image retrieval (CBIR). The main strategy used here is a Near Set approach where each image is considered as a set of visual elements that can be described with a set of visual descriptions (features). The similarity between images is then defined as the nearness between sets of elements based on their...