COLOR VS. TEXTURE FEATURE EXTRACTION AND MATCHING IN VISUAL CONTENT RETRIEVAL BY USING GLOBAL COLOR HISTOGRAM

Content Based Image Retrieval (CBIR) is the technique which uses visual contents to search images from large database. Image retrieval is achieved according to the similarity of image features. Color and texture is the most important visual features. CBIR systems focused on using low-level features like color, texture and sh ape for image representation. The color and texture features can be extracted using global color histogram.