Texture Retrieval System Using Intuitionistic Fuzzy Set Theory

Fast and accurate image classification is becoming one of the key requirements in content-based image retrieval (CBIR) system. The main idea of CBIR is to search similar image´s based on user query. This paper proposes an improvised texture retrieval system using intuitionistic fuzzy set (IFS) theory. Tamura feature extraction technique is used to extract texture features of each image in the database. The similarity between two images is calculated by using Generalized Tversky´s Index (GTI). Comparing with crisp and fuzzy method, results obtained using IFS were found better because of the consideration of uncertainty.