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20092025
most citedA systematic comparison of supervised classifiers

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

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Showing 2016 · cs.CVShow all

5 papers · 2 filters

cs.CV2016★ 2 cited

Binary Distance Transform to Improve Feature Extraction

Mariane Barros Neiva, Antoine Manzanera, Odemir Martinez Bruno

To recognize textures many methods have been developed along the years. However, texture datasets may be hard to be classified due to artefacts such as a variety of scale, illumina…

cs.CV2016

Fractal Descriptors of Texture Images Based on the Triangular Prism Dimension

João B. Florindo, Odemir M. Bruno

This work presents a novel descriptor for texture images based on fractal geometry and its application to image analysis. The descriptors are provided by estimating the triangular…

cs.CV2016★ 1 cited

Discrete Schroedinger Transform For Texture Recognition

João B. Florindo, Odemir M. Bruno

This work presents a new procedure to extract features of grey-level texture images based on the discrete Schroedinger transform. This is a non-linear transform where the image is…

cs.CV2016

Texture analysis using deterministic partially self-avoiding walk with thresholds

Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir Martinez Bruno

In this paper, we propose a new texture analysis method using the deterministic partially self-avoiding walk performed on maps modified with thresholds. In this method, two pixels…

cs.CV2016

Fast deterministic tourist walk for texture analysis

Lucas Correia Ribas, Odemir Martinez Bruno

Deterministic tourist walk (DTW) has attracted increasing interest in computer vision. In the last years, different methods for analysis of dynamic and static textures were propose…