Image repetition detection method based on spectrum characteristics analysis

Abstract

The invention relates to an image repeated detection method based on the frequency spectrum analysis, which comprises conducting the down-sampling for images through a down-sampling module, conducting the frequency spectrum analysis for the images through a frequency spectrum analyzing module, extracting the color information of image pixel, and conducting the gradient information analysis for the images through the frequency spectrum analyzing module, acquiring the image gradient distribution characteristic after the down-sampling, wherein the characteristic comprises the performances of rotation, translation and unchangeable dimension, and generating module fusion image color and gradient information through indexes as image indexes. The method after adopted can greatly reduce the storage redundancy of a database, and increase the retrieval performance and efficiency of an existing retrieval system.