Resumen de Multiresolution Shape Codes with Applications to Image Retrieval
Arindam Biswas, Partha Bhowmick, Bhargab B. Bhattacharya
A novel technique on shape coding of an object in a binary digital image, based on the tight isotheticpolygonal covers of the object in a multiresolution background, is proposed. This technique would be usefulin various analyses and applications related with digital images. To demonstrate the power and usefulnessof such shape codes, we have also proposed an image retrieval scheme based on shape codes. The eleganceof the scheme on shape codes lies in capturing the shape of the object(s) present in an image from its grossappearance to its finer details by a set of isothetic polygons, in a hierarchical manner. The inherent tolerancepresent in such a cast of isothetic polygonal shape enables the shape codes of two objects resemble closelyas the grid resolution becomes finer and finer, provided the objects are of similar shapes. The method is veryfast because it does not involve any complex computations, and requires only integer-based comparisonsand additions. Experimental results demonstrate the strength and efficiency of the proposed scheme.
