In this work we analyze the impact of denoising, contrast and edge enhancement using the
Deceived Non Local Means (DNLM) filter in a Convolutional Neural Network (CNN) based …

This paper presents a new image abstraction approach, aiming to improve typical image
related pattern recognition tasks such as segmentation, tracking, and classification. The …

In this work we explore a set of image enhancement techniques for improving contrast and
removing noise from digital images of cell activity. The cells studied were extracted from …

This article gives a more robust justification for the use of the Bhattacharyya distance in the
algorithm used by our Automated Sport Analysis System named ACE in the first of its three …

In this paper we propose an efficient implementation of the Deceived Non Local Means filter,
using Integral Images and the Fast Fourier Transform, named DNLM-IFFT. The deceived …

This paper presents a novel approach to improve the accuracy of long dissolve detection in
the first of the three perception modules of our Automated Sport Analysis System named …

In this paper a workflow to extract cell features from brightfield microscopy image sequences
is proposed. An event driven approach, combined with a forward and backward tracking …

This work describes the parallel methodology for a football tracking algorithm based on
multipartite graphs using MPI and OpenMP. The proposed algorithm use a consumer …

This paper presents an automatic approach for optimal calibration of the deceived non local
means filter (DNLM), for enhancing segmentation accuracy of fluorescence based …

In our in vitro study to model and understand the regulation networks that control the live and
death of the cells, it is fundamental to quantify the contribution of each of the cancer …