Julio Jacobo-Berlles

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This work presents a novel contribution in the field of shape recognition, in general, and in the Shape Context technique, in particular. We propose to address the problem of deciding if two shape context descriptors match or not using an a con-trario approach. Its key advantage is to provide a measure of the quality of each match, which is a powerful tool(More)
We present an approach for polarimetric Synthetic Aperture Radar (SAR) image region boundary detection based on the use of B-Spline active contours and a new model for polarimetric SAR data: the G H P distribution. In order to detect the boundary of a region, initial B-Spline curves are specified, either automatically or manually, and the proposed algorithm(More)
Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into several binary images according to a set of thresholds. Each binary image is filtered by a Boolean function. The Boolean function that(More)
This paper addresses a license plate detection and recognition (LPR) task on still images of trucks. The main contribution of our LPR system is the fusion of different segmentation algorithms used to improve the license plate detection. We also compare the performance of two kinds of classifiers for optical character recognition (OCR): one based on the a(More)
In this paper a new approach to polarimetric Synthetic Aperture Radar (SAR) image region boundary detection is presented. It is based on a new model for polarimetric SAR data and the use of B-Spline active contours for image seg-mentation. In order to detect the boundary for a region, an initial B-Spline curve is specified and the proposed algorithm uses a(More)