Title :
Image Retrieval Based on Multi-features
Author_Institution :
Dept. Of Inf. Sci. & Technol., Heilongjiang Univ., Harbin, China
Abstract :
This paper studies the visual feature extraction of image retrieval. According to HSV color space, we quantify the color space in non-equal intervals, construct one-dimensional feature vector and represent the color feature by cumulative histogram. In describing the image texture features, we use the gray-level co-occurrence matrix (GLCM) and Gabor wavelets respectively. Finally, the HSV color features are combined with GLCM and Gabor wavelets respectively for image retrieval. Experiment results show the effectiveness of the algorithm.
Keywords :
feature extraction; image colour analysis; image retrieval; image texture; matrix algebra; wavelet transforms; Gabor wavelets; HSV color space; cumulative histogram; gray-level cooccurrence matrix; image retrieval; image texture features; multifeatures; one-dimensional feature vector; visual feature extraction; Entropy; Feature extraction; Gabor filters; Image color analysis; Image retrieval; Image texture; Wavelet transforms; GLCM; Gabor wavelet; Image retrieval;
Conference_Titel :
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-61284-347-6
DOI :
10.1109/NCIS.2011.87
