3 papers
cs.CV2020
A cellular automata approach to local patterns for texture recognition
Joao Florindo, Konradin Metze
Texture recognition is one of the most important tasks in computer vision and, despite the recent success of learning-based approaches, there is still need for model-based solution…
cs.CV2020
Reorganizing local image features with chaotic maps: an application to texture recognition
Joao Florindo
Despite the recent success of convolutional neural networks in texture recognition, model-based descriptors are still competitive, especially when we do not have access to large am…
cs.CV2013
Multiscale Fractal Descriptors Applied to Texture Classification
João Batista Florindo, Odemir Martinez Bruno
This work proposes the combination of multiscale transform with fractal descriptors employed in the classification of gray-level texture images. We apply the space-scale transform…