![Foto de Daniel](/img/nophoto.png)
Daniel
Díaz Pernil
Publicaciones en las que colabora con Daniel Díaz Pernil (12)
2017
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Bio-inspired parallel computing of representative geometrical objects of holes of binary 2D-images
International Journal of Bio-Inspired Computation, Vol. 9, Núm. 2, pp. 77-92
2016
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Effective homology of k-D digital objects (partially) calculated in parallel
Pattern Recognition Letters, Vol. 83, pp. 59-66
2015
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Membrane parallelism for discrete Morse theory applied to digital images
Applicable Algebra in Engineering, Communications and Computing, Vol. 26, Núm. 1-2, pp. 49-71
2014
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First Steps for a Corner Detection using Membrane Computing
2014 ASIAN CONFERENCE ON MEMBRANE COMPUTING (ACMC)
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Searching partially bounded regions with P systems
Advances in Intelligent Systems and Computing
2013
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Segmenting images with gradient-based edge detection using Membrane Computing
Pattern Recognition Letters, Vol. 34, Núm. 8, pp. 846-855
2012
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Parallel skeletonizing of digital images by using cellular automata
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2011
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A parallel implementation of the thresholding problem by using tissue-like P systems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Homological Groups, Spanning Forests and Membrane Computing
IMAGE-A, Vol. 2, Núm. 4, pp. 13-16
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)