Malaysia travel destination images search engine using geometric moment invariants

Abstract

Content-based image retrieval (CBIR) is an alternative way to achieve effective image retrieval results that fulfill the user’s requirement when he/she search for image information from the Web. In this paper, we present a Malaysia’s travel destination images retrieval prototype application using moment geometry. In this prototype the effectiveness and the accuracy of the image retrieval process will be determine through features extraction by using moment geometry. The keywords from user will be used to match with the image database to search for the related images. The result from the text-based retrieval will be shown to user. The user will choose one of the images that he or she wanted. The selected image will proceed for the edge detection process using Sobel operator. Features extracted from the edge detection process will be used for the matching process to retrieve related and relevant images. Edge detection using the Sobel operator and moment geometry invariants algorithm were implemented into this prototype while precision and recall metrics are used to evaluate the effectiveness and the accuracy of this image retrieval prototype