A Comparative Study on Feature Extraction using Texture and Shape for Content Based Image Retrieval

Image Retrieval is the basic requirement of today's life in present scenario. Because of huge amount of different types of images are added in database from different sources for retrieval of the image, different kinds of processing is required to extract the relevant features from them. In this paper, comparisons of combination texture and shape features are done with texture Gray Level Co-occurrence Matrix and Hu-moments and the combination of tamura texture and shape invariant Hu-moments. For the performance evaluation of the system we use most commonly used methods namely precision and recall.