Content Based Image Retrieval using Dominant Color and Texture features

Abstract: The purpose of this Paper is to describe our research on different feature extraction and matching techniques in designing a Content Based Image Retrieval (CBIR) system. Due to the enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. Content Based Image Retrieval (CBIR) is the retrieval of images based on visual features such as color and texture. Image retrieval using single feature cannot provide good solution for accuracy and efficiency. The most important visual features are Color and texture. In this paper technique used for retrieving the images based on their content namely dominant color, texture and combination of both color and texture. The technique verifies the superiority of image retrieval using multifeature than the single feature.

Keywords: Content Based Image retrieval (CBIR), Co-occurrence matrix, Euclidian distance, Centroid, Dominant color.