Effective Image Retrieval by Shape Salience

Ricardo da Silva TorresEduardo Miguéis PicadoAlexandre Xavier FalcãoLuciano da Fontoura Costa

Content-Based Image Retrieval (CBIR) systems have been developed aiming at enabling users to search and retrieve images based on their properties such as shape, color and texture. In this paper, we are concerned with shape-based image retrieval. Here, we discuss a recently proposed shape descriptor, called shape saliences, defined as the influence areas of its higher curvature points. This paper introduces a robust approach to estimate contour saliences by exploiting the relation between a contour and its skeleton. The paper also evaluates the effectiveness of the proposed descriptor with respect to Fourier Descriptors, Curvature Scale Space and Moment Invariants.

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