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Co-occurrence Matrix and fractal dimension for image segmentationMatriz de co-ocurrencia y dimensión fractal en segmentación de imágenes
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2012)
Light intensity independence during dynamic laser speckle analysis
(Elsevier Science, 2016-05)
We explore some different normalizations of current dynamic laser speckle activity measures searching for their performance with respect to the illumination inhomogeneity of the samples. Inertia Moment and Average Value ...
Predicting Vascular Plant Richness in a Heterogeneous Wetland Using Spectral and Textural Features and a Random Forest Algorithm
(IEEE-Inst Electrical Electronics Engineers, 2016)
A method to predict vascular plant richness using spectral and textural variables in a heterogeneous wetland is presented. Plant richness was measured at 44 sampling plots in a 16-ha anthropogenic peatland. Several spectral ...
Interactive Causal Correlation Space Reshape for Multi-Label Classification
Most existing multi-label classification models focus on distance metrics and feature spare strategies to extract specific features of labels. Those models use the cosine similarity to construct the label correlation matrix ...
Transient process in ice creams evaluated by laser speckles
(ELSEVIER SCIENCE BV, 2010)
When a coherent light beam is scattered from a colloidal medium, in the observation plane, appears a random grainy image known as speckle pattern. The time evolution of this interference image carries information about the ...
Multi-scale gray level co-occurrence matrices for texture description
(Elsevier Science BvAmsterdamHolanda, 2013)
Computational diagnosis of skin lesions from dermoscopic images using combined features
(Springer, 2019-10-01)
There has been an alarming increase in the number of skin cancer cases worldwide in recent years, which has raised interest in computational systems for automatic diagnosis to assist early diagnosis and prevention. Feature ...
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)
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer
(Sage Publications, 2014-01)
This work reviews the most relevant present-day processing methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. Special emphasis has been ...