The purpose of this paper is to generalize a result by Donoho, Huo, Elad and Bruckstein on sparse representations of signals/images in a union of two orthonormal bases. We conside...
In local feature?based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition acc...
This paper introduces a new method to register images that are rotated and translated with respect to each other. The method works by transforming each image to a gradient distrib...
This work presents a new algorithm (NIC; Non-uniform Intensity Correction) for the correction of intensity inhomogeneities in magnetic resonance images. The algorithm has been val...
Juan D. Gispert, Santiago Reig, Javier Pascau, Rau...
Few people use the probability theory in order to achieve image segmentation with snake models. In this article1 , we are presenting an active contour algorithm based on a probabi...
The widely used denoising algorithms based on nonlinear diffusion, such as Perona-Malik and total variation denoising, modify images toward piecewise constant functions. Though ed...
In this paper we propose a system that recognises gait and quadruped structure from a sparse set of tracked points. In this work the motion information is derived from dynamic wil...
David P. Gibson, Neill W. Campbell, Barry T. Thoma...
In this work, we demonstrate examples about uses of practical image processing techniques over a new interpretation of power quality event data. Power quality event data are 1D da...