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Selection of CNN, Haralick and Fractal Features Based on Evolutionary Algorithms for Classification of Histological Images
(2020-12-16)
The analysis of histological image features for automatic detection of pathologies plays an important role in medicine. Considering that, we proposed a method based on the association of features extracted by multi-scale ...
Classificação do câncer colorretal baseada na associação de características multidimensional e multirresolução
(Universidade Estadual Paulista (Unesp), 2018-08-06)
Neste trabalho, um método foi proposto a partir da combinação entre técnicas fractais multiescalas e multidimensionais, transformada curvelet e descritores de Haralick para o estudo e reconhecimento de padrões do câncer ...
Automatic classification of prostate stromal tissue in histological images using Haralick descriptors and Local Binary Patterns
(2014)
In this paper we presente a classification system that uses a combination of texture features from stromal regions: Haralick features and Local Binary Patterns (LBP) in wavelet domain. The system has five steps for ...
Procesamiento embebido de imágenes para detección de irregularidades en un terreno
El proyecto Procesamiento embebido de imágenes para detección de irregularidades en un terreno busca demostrar el potencial del uso de sistemas embebidos en el procesamiento de imágenes y dejar como base una plataforma ...
Detección de humedad en bienes raíces usando texturas de Haralick
(Pontificia Universidad Javeriana, 2022)
Evaluation of statistical and Haralick texture features for lymphoma histological images classification
(2021-01-01)
The investigation of different types of cancer can be performed by images classification with features extracted from specific regions identified by a segmentation step. Therefore, this study presents the evaluation of ...
Classification of colorectal cancer based on the association of multidimensional and multiresolution features
(2019-04-15)
Colorectal cancer is one of the most common types of cancer according to worldwide incidences statistics. The correct diagnosis of this lesion leads to the indication of the most adequate treatments for cancer-affected ...
Avaliação de descritores texturais geoestatísticos e de Haralick para o reconhecimento de plantas daninhasEvaluation of geoestatistic textural descriptor and of Haralick for the recognition of harmful plants
(Universidade Federal de ViçosaBREstatística Aplicada e BiometriaMestrado em Estatística Aplicada e BiometriaUFV, 2015)