Content Based Image Retrieval Based on Positions of the Local Features

Abstract

The purpose of this report is to improve retrieval accuracy of existing method by considering the positions of the local features. It is assumed that the interesting points concentrating on the partial of the image is a problem in the image retrieval. Loupias suggested the salient point extraction algorithm that does not concentrate points in the part of the image, and applied it to similar image retrieval. In order to further improve retrieval accuracy, we extracted the local features and compared each of them by considering their positions. Our method retrieved similar images with Geometric Hashing to compare the local features and their positions. Then we compared retrieval accuracy with the existing method.