Features extraction based on Fisher's information

Abstract

"In this paper a novel scheme for extracting the global features from an image. Usually the features are extracted from the whole image. In the proposed approach, only the image regions conveying information are considered. The two steps procedure is based on the Fisher's information evaluation computed by linear combination of Zernike expansion coefficients. Then, by using the region growing algorithm, only high information rate regions are considered. The considered features are texture, edges, and color. The performances of the proposed scheme has been evaluated by using the retrieval rate. Experimental results show an increase in the retrieval rate with respect to use the same features computed on whole image.

A comparison between space-time video descriptors

“…Zernike polynomials belong to the class of circular harmonic functions, such as the Laguerre Gauss functions; they are widely used as descriptors of 2D patches by the computation of the Zernike moments, 14,15 and in many applications of image processing. 16,17 Let f (x) be any continuous function, the Zernike moments are computed as follows…”