activity
20092025
most citedA systematic comparison of supervised classifiers

227 citations · 794 across the 65 of their papers we have counts for

collaborators
Showing 2012Show all

16 papers · 1 filter

physics.data-an2012★ 27 cited

Characterization of nanostructured material images using fractal descriptors

João B. Florindo, Mariana S. Sikora, Ernesto C. Pereira +1

This work presents a methodology to the morphology analysis and characterization of nanostructured material images acquired from FEG-SEM (Field Emission Gun-Scanning Electron Micro…

physics.comp-ph2012

Predicting Efficiency in master-slave grid computing systems

Gonzalo Travieso, Carlos A. Ruggiero, Odemir M. Bruno +1

This work reports a quantitative analysis to predicting the efficiency of distributed computing running in three models of complex networks: Barabási-Albert, Erdős-Rényi and Watts-…

cs.CV2012

Analysis of Multi-Scale Fractal Dimension to Classify Human Motion

Núbia Rosa da Silva, Odemir Martinez Bruno

In recent years there has been considerable interest in human action recognition. Several approaches have been developed in order to enhance the automatic video analysis. Although…

physics.data-an2012

Texture Analysis And Characterization Using Probability Fractal Descriptors

J. B. Florindo, O. M. Bruno

A gray-level image texture descriptors based on fractal dimension estimation is proposed in this work. The proposed method estimates the fractal dimension using probability (Voss)…

cs.MS2012★ 3 cited

Scilab and SIP for Image Processing

Ricardo Fabbri, Odemir Martinez Bruno, Luciano da Fontoura Costa

This paper is an overview of Image Processing and Analysis using Scilab, a free prototyping environment for numerical calculations similar to Matlab. We demonstrate the capabilitie…

physics.data-an2012★ 18 cited

Fractal Descriptors in the Fourier Domain Applied to Color Texture Analysis

João Batista Florindo, Odemir Martinez Bruno

The present work proposes the development of a novel method to provide descriptors for colored texture images. The method consists in two steps. In the first, we apply a linear tra…