关键词: 基于内容的图像检索, 小波变换, 不变矩, 欧氏距离

Abstract: An image searching algorithm with image indexes is presentde. The first step of this algorithm is to pre-process the image by normalizing it to same size and color space, then divides the image into high frequency and low frequency with 4-layer-wavelet transform. Compute standard deviation in dominant frequency part for the first searching, the second searching is using Euclid distance to measure the similarity with original image, at last, compare the invariant moments to attain the final searching results. In order to verify the effectiveness of the algorithm, we build a framework for it by a searching experiment of 9000 images, the results show that this algorithm is effective.

Key words: Content Base Retrieval, Wavelet Transform, Invariant Moments, Euclid Distance