그레이스케일 히스토그램 정제와 수평에지 특성에 기반한 영상검색

Abstract

In this paper, this program which is Retrieval System using Image Gray-scale histogram and edge features is used to reduce the errors incurred by inputting methods which are used in a current Retrieval System. The Retrieval Algorithm is proceeding with several steps which are extracting features of images quality, extracting edge features and refining images, analysing extracted features, retaining important information from analyzed features, retrieving retained information from database, extracting and comparing among images from retrieved database. Through simulation, the performance of proposed Retrieval System is faster than that of conventional method and retrieves with accuracy.