54 citations · 131 across the 9 of their papers we have counts for
9 papers
Multilayer deep feature extraction for visual texture recognition
Lucas O. Lyra, Antonio Elias Fabris, Joao B. Florindo
Convolutional neural networks have shown successful results in image classification achieving real-time results superior to the human level. However, texture images still pose some…
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 by multi-resolution fractal descriptors
João B. Florindo, Odemir M. Bruno
This work proposes a texture descriptor based on fractal theory. The method is based on the Bouligand-Minkowski descriptors. We decompose the original image recursively into 4 equa…
Enhancing fractal descriptors on images by combining boundary and interior of Minkowski dilation
Marcos W. S. Oliveira, Dalcimar Casanova, João B. Florindo +1
This work proposes to obtain novel fractal descriptors from gray-level texture images by combining information from interior and boundary measures of the Minkowski dilation applied…
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis
Álvaro Gomez Z., João B. Florindo, Odemir M. Bruno
Texture analysis and classification remain as one of the biggest challenges for the field of computer vision and pattern recognition. On this matter, Gabor wavelets has proven to b…