272 Image Retrieval Based on Color and Texture Characteristics

An image retrieval method using color and wavelet transform is proposed. This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, and Value) color space, the work of color feature extraction is finished, the process is as follows, quantifying the color space in non-equal intervals, constructing one dimension feature vector and representing the color feature by cumulative histogram. Similarly, the work of texture feature extraction is obtained by using wavelet. Through the quantification of HSV color space, we combine color features and texture features. Depending on the, image retrieval based on multi-feature fusion is achieved by using Manhattan distance classifier. Through the image retrieval experiment, indicate that the use of color features and texture based on wavelet has obvious. The experimental results show that our approach is easy to identify main objects and reduce the influence of background in the image, and thus improve the performance of image retrieval.