Wavelet Multi—scale Features Clustering Based Image Retrieval
Xinyu Li · Microcomputer applications · 2006
A wavelet multi—scale features clustering based Image retrieval approach is proposed in this paper.This ap- proach applies wavelet multi—scale decomposition to each image in image database and then extracts moments of every sub—band and lowest frequency sub—band wavelet dominant coefficients histogram as texture features and color fea- tures.Then a clustering techniques is developed to reduce the query time.Retrieval procedure is consist oftwo steps:①determine similar cluster by compare texture distance between query image and centroid of every cluster.②determine similar image by compute distance between query image and every image in similar cluster.The prototype system test demonstrate that this approach has high retrieval performance.