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4 results found.

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Classification of color textures with random field models and neural networks
Article
Article
Hernandez, Orlando J. et al · SEDICI UNLP · 2005
A number of texture classification approaches have been developed in the past but most of these studies target graylevel textures. In this work, novel results are presented on Neural Network based classification of color...
Idioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
Semiautomated segmentation of bone marrow biopsies images based on texture features and Generalized Regression Neural Networks
Text / resource
Text / resource
Meschino, Gustavo et al · SEDICI UNLP · 2004
This work presents preliminary results of a method for semi-automatic detection of fat and hematopoietic cells as well as trabecular surfaces in bone marrow biopsies, in order to calculate the percentage of each type of ...
Idioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
Automatic identification of weed seeds by color image processing
Text / resource
Text / resource
Granitto, Pablo Miguel et al · SEDICI UNLP · 2000
The analysis and classification of seeds are essential activities contributing to the final added value in the crop production. Besides varietal identification and cereal grain grading, it is also of interest in the agri...
Idioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
Boosting classifiers for weed seeds identification
Text / resource
Text / resource
Granitto, Pablo Miguel et al · SEDICI UNLP · 2002
The identification and classification of seeds are of major technical and economical importance in the agricultural industry. To automate these activities, like in ocular inspection one should consider seed size, shape, ...
Idioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
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