227 citations · 794 across the 65 of their papers we have counts for
8 papers · 1 filter
Improving the pseudo-randomness properties of chaotic maps using deep-zoom
Jeaneth Machicao, Odemir Martinez Bruno
A generalized method is proposed to compose new orbits from a given chaotic map. The method provides an approach to examine discrete-time chaotic maps in a "deep-zoom" manner by us…
Clustering Algorithms: A Comparative Approach
Mayra Z. Rodriguez, Cesar H. Comin, Dalcimar Casanova +4
Many real-world systems can be studied in terms of pattern recognition tasks, so that proper use (and understanding) of machine learning methods in practical applications becomes e…
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…
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…
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…
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…