A Novel Method of Image Retrieval Using Color Texture and Sift Features

Content-Based Image Retrieval (CBIR) system is rising as a crucial analysis space wherever the users will search and retrieve pictures supported by the properties like shape, color and texture from the image information. Typically texture-based image retrieval is taken into account as a clever image of coarseness, dissimilarity and roughness however there's a lot of texture data within the edge image. This paper projected a unique approach to retrieve pictures by texture, color and SIFT. Moreover, the digital image is employed to represent the native characteristics of the image for increasing the accuracy of the retrieval system. Because the experimental results indicated, the projected technique so outperforms different schemes in terms of retrieval accuracy and class retrieval ability. Keywords—content-based image retrieval (CBIR), HSV color house, GLCM, LBP, SIFT. _________________________________________________________________________________________________________________