Traditional pattern recognition techniques can not handle the classification of large datasets with both efficiency and effectiveness. In this context, the Optimum-Path Forest (OPF) classifier was recently introduced, ...

Traditional pattern recognition techniques can not handle the classification of large datasets with both efficiency and effectiveness. In this context, the Optimum-Path Forest (OPF) classifier was recently introduced, ...

To illuminate low-light scenarios in photography, photographers usually use the camera flash, this produces flash images. Nevertheless, this external light may produce non-uniform illumination and unnatural color of ...

In the scientific literature, multiple studies address the application of road extraction methodologies to a particular cartographic dataset. However, it is difficult for any study to perform a more reliable comparison ...

The number of images available has grown over the years, as well as the number of techniques to aid to organizing and retrieving from image collections. Techniques and systems have been proposed to recover images based on ...

The number of images available has grown over the years, as well as the number of techniques to aid to organizing and retrieving from image collections. Techniques and systems have been proposed to recover images based on ...

Recognizing near-duplicate images from large datasets is a crucial task in image retrieval and content identification. Finding similar images in order to reduce redundancy is timeconsuming in large datasets. Most of image ...