Digital image look-up method

Abstract

A digital image texture analyzing method uses the mean and variance of the pixel values of an original image. Further, filtered images are obtained by filtering the original image using predetermined filters, each having a unique combination of one of m scales and one of n orientations, where m and n are predetermined positive integers, and the means and variances of the respective filtered images are calculate. A texture descriptor is obtained having the mean and variance of the pixel values of the original image and the means and variances of the respective filtered images obtained in the step, as texture features. The texture analyzing method allows image textures to be more accurately analyzed and compared for similarity, even when an image is rotated and / or enlarged or reduced relative to another image.

Description

[0001] This application is a divisional application of the Chinese patent application No. 00128395.2 entitled "Method for Analyzing Texture Structure of Digital Image". technical field [0002] The present invention relates to a method for analyzing the texture structure of a digital image, in particular to a method for analyzing the texture structure of a digital image using a texture structure descriptor and searching for a digital image of an image using the texture structure descriptor pointed out by the digital image texture structure analysis method Find out how. This application claims priority to Provisional Application Serial No. 60 / 157,077, filed October 1, 1999, and entitled "Methods for Analysis of Still Image Texture Structure." Background technique [0003] figure 1 A conventional digital image texture analysis method is shown. refer to figure 1 , obtain a filtered image by performing a predetermined filtering method, and use the average and variance of pixe...

AI Technical Summary

Problems solved by technology

[0004] However, according to conventional digital image texture analysis methods, in the case where one image is rotated, enlarged, or reduced relative to the other image, even when the texture structure of the image is similar to that of the other image, analyzing the texture of the two images The result of the structure is also different

Images