EVA
CERNADAS GARCIA
Profesora titular de universidade
Pilar
Carrión Pardo
Publicacións nas que colabora con Pilar Carrión Pardo (10)
2017
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Influence of normalization and color space to color texture classification
Pattern Recognition, Vol. 61, pp. 120-138
2016
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Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images
Computers and Electronics in Agriculture, Vol. 125, pp. 89-98
2015
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A multi-platform graphical software for determining reproductive parameters in fishes using histological image analysis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013
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Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary
Pattern Recognition, Vol. 46, Núm. 9, pp. 2391-2407
2011
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Statistical and wavelet based texture features for fish oocytes classification
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2008
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Recognize and classify fish oocytes in histological images
Proceedings of the 8th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2008
2007
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Age reading of cod otoliths based on image morphing, filtering and fourier analysis
Proceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007
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Combining region and edge information to extract fish oocytes in histological images
Proceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007
2004
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Classification of honeybee pollen using a multiscale texture filtering scheme
Machine Vision and Applications, Vol. 15, Núm. 4, pp. 186-193
2003
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Determine the composition of honeybee pollen by texture classification
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2652, pp. 158-167