Research on Principal Component Analysis to Images for Similar Image Retrieval

Abstract

We propose the similar image retrieval using PCA(principal component analysis) in this paper. PCA is a kind of multivariate analysis technique and it can concisely summarize a lot of variables. In our technique, to apply the PCA to the similar image retrieval, PCA was done to the image which is smoothed and grid-divided based on the cumulative contribution of the eigenvalue in each grid. So we are aimed at extracting unique information from the image and searching for similar images using main information of the image.