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Research Article Open Access
This paper proposes a method of Content based image retrieval (CBIR) using color sketches, which is one of the most popular, rising research areas of the Digital image processing. The goal of CBIR is to extract visual content of an image automatically, like color, texture, or shape. The proposed method is based on free hand color sketch of image, which uses color and texture features. In this color features are extracted using HSV (Hue, Saturation and Value) color space. The HSV color space is quantified in non-equal intervals, a one dimensional feature vector is constructed and it is represented by cumulative histogram. Texture feature extraction is obtained by using gray-level co-occurrence matrix (GLCM). The combination of the color and texture features of an image provides a robust feature set for image retrieval. Euclidean distance of color and texture is used in retrieving the similar images. The image retrieval experiment indicates that the use of color and texture features in image retrieval using color sketches has obvious advantages. This paper will be very helpful in crime prevention. The proposed method has more retrieval rate than image retrieval using sketches.