Shape-based Image Retrieval

Abstract

Shape-based Image Retrieval By Aditya Vailaya Retrieval efficiency and accuracy are two important issues in designing a contentbased database retrieval system. We propose a new image database retrieval method based on shape information. This system achieves both the desired efficiency and accuracy using a two-stage hierarchy: in the first stage, simple and easily computable statistical shape features are used to quickly browse through the database to generate a moderate number of plausible retrievals; in the second stage, the outputs from the first stage are screened using a deformable template matching process to discard spurious matches. We have tested the algorithm using hand drawn queries on a trademark database containing 1; 100 images. Each retrieval takes a reasonable amount of computation time (¸ 45 seconds). The top most retrieved image by the system agrees with that obtained by human subjects, but there are significant differences between the top 10 retrieved images by our ..

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