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Pattern recognition in trunk images based on co-occurrence descriptors: a proposal applied to tree species identification
(Ieee, 2015-01-01)
Tree species identification is required for many applications. However, current techniques are dependent on the presence of morphological structures such as leaves, which restricts its use in certain situations and seasons. ...
Pattern recognition in trunk images based on co-occurrence descriptors: A proposal applied to tree species identification
(2016-03-17)
Tree species identification is required for many applications. However, current techniques are dependent on the presence of morphological structures such as leaves, which restricts its use in certain situations and seasons. ...
Texture analysis by multi-resolution fractal descriptors
(ElsevierAmsterdam, 2013-08)
This work proposes a novel texture descriptor based on fractal theory. The method is based on the Bouligand- Minkowski descriptors. We decompose the original image recursively into four equal parts. In each recursion step, ...
Fractal descriptors for discrimination of microscopy images of plant leaves
(2014)
This study proposes the application of fractal descriptors method to the discrimination of microscopy images of plant leaves. Fractal descriptors have demonstrated to be a powerful discriminative method in image analysis, ...
Multi-scale gray level co-occurrence matrices for texture description
(Elsevier Science BvAmsterdamHolanda, 2013)
Barrett's Esophagus Identification Using Color Co-occurrence Matrices
(Ieee, 2018-01-01)
In this work, we propose the use of single channel Color Co-occurrence Matrices for texture description of Barrett's Esophagus (BE) and adenocarcinoma images. Further classification using supervised learning techniques, ...
Fractal descriptors for discrimination of microscopy images of plant leaves
(Institute of Physics - IOPBristol, 2014)
This study proposes the application of fractal descriptors method to the discrimination of microscopy images of plant leaves. Fractal descriptors have demonstrated to be a powerful discriminative method in image analysis, ...
Procesamiento de imágenes digitales utilizando descriptores de forma para la identificación de deficiencias nutricionales a nivel foliar del cafeto
(Universidad Señor de SipánPE, 2015)
La evaluación del estado nutricional de las plantas de café se hace generalmente mediante el análisis químico del suelo o por la visualización síntomas en las hojas de las planta, hecho generalmente por los mismos agricultores ...
Obtención de texturas en imágenes hiperespectrales utilizando Gray Level Co-occurrence Matrix para encontrar patrones de madurez y predecir la firmeza en frutilla
(Universidad de Talca (Chile). Escuela de Ingeniería Civil en Computación., 2012)