A Wavelet-based Image Retrieval System
暂无分享,去创建一个
In this report, we propose a wavelet-based content descriptor with which we implement an image retrieval system. Initially, we propose the wavelet-based weighted standard deviation texture descriptor. We then show how to extend this descriptor to characterize both texture and color in images. Thus, we obtain a compact feature vector that characterizes images in terms of both texture and color. We use this feature vector to implement an image retrieval system, using the weighted L1 distance measure.
[1] C.-C. Jay Kuo,et al. Texture analysis and classification with tree-structured wavelet transform , 1993, IEEE Trans. Image Process..
[2] B. S. Manjunath,et al. Texture Features for Browsing and Retrieval of Image Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[3] C.-C. Jay Kuo,et al. WaveGuide: a joint wavelet-based image representation and description system , 1999, IEEE Trans. Image Process..