Publicacións nas que colabora con Eva Cernadas García (15)

2015

  1. 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)

2011

  1. 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

  1. Recognize and classify fish oocytes in histological images

    Proceedings of the 8th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2008

2007

  1. 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

  2. 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

2006

  1. Automatic detection and classification of grains of pollen based on shape and texture

    IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, Vol. 36, Núm. 4, pp. 531-542

  2. Comparison of region and edge segmentation approaches to recognize fish oocytes in histological images

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2004

  1. Classification of honeybee pollen using a multiscale texture filtering scheme

    Machine Vision and Applications, Vol. 15, Núm. 4, pp. 186-193

  2. Computer-aided identification of allergenic species of Urticaceae pollen

    Grana, Vol. 43, Núm. 4, pp. 224-230

  3. Pollen classification using brightness-based and shape-based descriptors

    Proceedings - International Conference on Pattern Recognition

2003

  1. 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