81 Association-Based Image Retrieval

Typical content-based image retrieval (CBIR) system captures image features that represent image properties such as color, texture, or shape of objects in the query image and try to retrieve images from the database with similar features. In this paper, we propose a new approach for image storage and retrieval called association-based image retrieval (ABIR). We try to mimic human memory. We use a generalized bi-directional associative memory (GBAM) to store associations between feature vectors that represent images stored in the database. As an illustration, we have considered a database with three sets of images. The results of our simulation are presented in the paper.