Abstract
This paper illustrates the potentials of the PCNN for image processing. A description of three schemes for image processing using the PCNN is presented in this paper. The first scheme is related to image segmentation, the second to automatic target location, ATL, and the third to face recognition. The first scheme was developed in order to obtain an insight of the behavior of the PCNN as a preprocessor element, the second one is an application to test the performance of the PCNN in an ATL problem. The third is a feature extraction method for face recogiton. The segmentation scheme showed great potentials to perform pixel grouping. The second scheme turned into a system with an ATL performance as good as other systems reported in the literature. And the third scheme seems to improve the performance of a face recognition system. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Chacon M., M. I., Zimmerman S., A., & Rivas P., P. (2007). Image processing applications with a PCNN. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4493 LNCS, pp. 884–893). Springer Verlag. https://doi.org/10.1007/978-3-540-72395-0_109
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