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3 results on '"Ainhoa Berciano"'

1. Computer Analysis of Images and Patterns : 14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part II

Author

Ainhoa Berciano, Daniel Díaz-Pernil, Walter Kropatsch, Helena Molina-Abril, Pedro Real, Ainhoa Berciano, Daniel Díaz-Pernil, Walter Kropatsch, Helena Molina-Abril, and Pedro Real

Subjects
Pattern recognition systems, Biometric identification, Data mining, Image processing—Digital techniques, Computer vision, Natural language processing (Computer science), Artificial intelligence
Abstract

The two volume set LNCS 6854/6855 constitutes the refereed proceedings of the International Conference on Computer Analysis of Images and Patterns, CAIP 2011, which took place in Seville, Spain, August 29-31, 2011. The 138 papers presented together with 2 invited talks were carefully reviewed and selected from 286 submissions. The papers are organized in topical section on: motion analysis, image and shape models, segmentation and grouping, shape recovery, kernel methods, medical imaging, structural pattern recognition, Biometrics, image and video processing, calibration; and tracking and stereo vision.

Published
2011

2. Parallel Skeletonizing of Digital Images by Using Cellular Automata

Author

Ainhoa Berciano, Francisco Peña-Cantillana, Miguel A. Gutiérrez-Naranjo, Daniel Díaz-Pernil, Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII), Universidad de Sevilla. FQM296: Topología Computacional y Matemática Aplicada, and Universidad de Sevilla. TIC193: Computación Natural

Subjects
Digital image, Theoretical computer science, Computer science, Medial axis, Natural computing, In real life, Architecture, Cellular automaton, Skeletonization
Abstract

Recent developments of computer architectures together with alternative formal descriptions provide new challenges in the study of digital Images. In this paper we present a new implementation of the Guo & Hall algorithm [8] for skeletonizing images based on Cellular Automata. The implementation is performed in a real-time parallel way by using the GPU architecture. We show also some experiments of skeletonizing traffic signals which illustrates its possible use in real life problems. Ministerio de Ciencia e Innovación TIN2008-04487-E Ministerio de Ciencia e Innovación TIN2009–13192 Junta de Andalucía P08–TIC-04200 Ministerio de Educación y Ciencia MTM2009-12716 Universidad del Pais Vasco EHU09/04

Published
2012

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