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Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis
(Springer, 2009-01-01)
This paper presents the study of computational methods applied to histological texture analysis in order to identify plant species, a very difficult task due to the great similarity among sortie species and presence of ...
Aprendizado de máquina simbólico e técnicas fractais para caracterizar rejeição em biópsia miocárdica
(2013-03-26)
This work combines symbolic machine learning and multiscale fractal techniques to generate models that characterize cellular rejection in myocardial biopsies and that can base a diagnosis support system. The models express ...
Plant species identification using multi-scale fractal dimension applied to images of adaxial surface epidermis
(2009-09-28)
This paper presents the study of computational methods applied to histological texture analysis in order to identify plant species, a very difficult task due to the great similarity among some species and presence of ...
Multidimensional and multiscale Higuchi dimension for the analysis of colorectal histological images
(2020-12-16)
Fracta1 techniques are widely explored to quantity and recognize texture patterns in digital images. Among the different types of fractal techniques, one that stands out is the Higuchi fractal dimension. The Higuchi fractal ...
Automatic method to classify images based on multiscale fractal descriptors and paraconsistent logic
(Iop Publishing Ltd, 2015-01-01)
In this study is presented an automatic method to classify images from fractal descriptors as decision rules, such as multiscale fractal dimension and lacunarity. The proposed methodology was divided in three steps: ...
Shape analysis using multiscale hough transform statistics
(2015-01-01)
With the widespread proliferation of computers, many human activities entail the use of automatic image analysis. The basic features used for image analysis include color, texture, and shape. In this paper, we propose MHTS ...
A scale-space approach for multiscale shape analysis
(2018-01-01)
Currently, given the widespread of computers through society, the task of recognizing visual patterns is being more and more automated, in particular to treat the large and growing amount of digital images available. Two ...
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 ...
Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images
(2019-01-01)
Lymphomas are neoplasms that originate in the lymphatic system and represent one of the most common types of cancer found in the World population. The feature analysis may contribute toward results of higher relevance in ...
Maximum entropy, fractal dimension and lacunarity in quantification of cellular rejection in myocardial biopsy of patients submitted to heart transplantation
(Iop Publishing Ltd, 2011-01-01)
This paper presents a method for the quantification of cellular rejection in endomyocardial biopsies of patients submitted to heart transplant. The model is based on automatic multilevel thresholding, which employs histogram ...