An Improved Technique of CBIR using Gabor Filter and Genetic Algorithm

Content Based Image Retrieval (CBIR) system attains interest in image processing domain from past years due to its optimized applications. In order to retrieve images efficiently from a large database, an improved approach of integrating color and texture features using Gabor filter and genetic algorithm has been proposed. In this paper the image data is pre-processed and then we extract Gabor and shape based features. Genetic Algorithm has been used to investigate to refine the results such that, they are similar to query image features given by users. The implemented results shows that the proposed method gives higher retrieval accuracy compared to the traditional methods of image retrieval that use color, texture and shape features only for retrieving images.