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Fractal descriptors based on Fourier spectrum applied to texture analysis
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
This work proposes the development and study of a novel technique lot the generation of fractal descriptors used in texture analysis. The novel descriptors are obtained from a multiscale transform applied to the Fourier ...
Fractal descriptors based on the probability dimension: a texture analysis and classification approach
(Elsevier BVAmsterdam, 2014-06)
In this work, we propose a novel technique for obtaining descriptors of gray-level texture images. The descriptors are provided by applying a multiscale transform to the fractal dimension of the image estimated through the ...
ENHANCING MULTISCALE FRACTAL DESCRIPTORS USING FUNCTIONAL DATA ANALYSIS
(WORLD SCIENTIFIC PUBL CO PTE LTD, 2010)
This work presents a novel approach in order to increase the recognition power of Multiscale Fractal Dimension (MFD) techniques, when applied to image classification. The proposal uses Functional Data Analysis (FDA) with ...
Characterization of nanostructured material images using fractal descriptors
(ElsevierAmsterdam, 2013-04)
This work presents a methodology to the morphology analysis and characterization of nanostructured material images acquired from FEG-SEM (Field Emission Gun-Scanning Electron Microscopy) technique. The metrics were extracted ...
Multiscale Fractal Descriptors and Polynomial Classifier for Partial Pixels Identification in Regions of Interest of Mammographic Images
(Institute of Electrical and Electronics Engineers (IEEE), 2012-06-01)
Computer systems are used to support breast cancer diagnosis, with decisions taken from measurements carried out in regions of interest (ROIs). We show that support decisions obtained from square or rectangular ROIs can ...
Multiscale Fractal Descriptors and Polynomial Classifier for Partial Pixels Identification in Regions of Interest of Mammographic Images
(Institute of Electrical and Electronics Engineers (IEEE), 2012-06-01)
Computer systems are used to support breast cancer diagnosis, with decisions taken from measurements carried out in regions of interest (ROIs). We show that support decisions obtained from square or rectangular ROIs can ...
Multiscale Fractal Descriptors and Polynomial Classifier for Partial Pixels Identification in Regions of Interest of Mammographic Images
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Brachiaria species identification using imaging techniques based on fractal descriptors
(Elsevier BVAmsterdam, 2014-04)
The use of a rapid and accurate method in diagnosis and classification of species and/or cultivars of forage has practical relevance, scientific and trade in various areas of study, since it has broad representation in ...
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 ...
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, ...