Medical imaging currently plays a crucial role throughout the entire clinical applications from
medical scientific research to diagnostics and treatment planning. However, medical …

This paper provides a detailed state of the art of different video denoising techniques. Most
of the video denoising algorithms are done through the motion detection technique. The …

Abstract Agent Based Modelling (ABM) is an approach for modelling dynamic systems and
studying complex and emergent behaviour. ABMs have been widely applied in diverse …

This book takes an interdisciplinary approach covering health care, cognitive computing,
and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and …

GPU dengan Compute Unified Device Architecture (CUDA) dan membandingkan hasil
kinerja dari komputasi sekuensial CPU dengan OpenCV yang dianalisis menggunakan …

In this paper we investigate stereovision algorithms that are suitable for multimedia video
devices. The main novel contribution of this article is detailed analysis of modern graphical …

Due to their inherent architecture, the discrete time model of Cellular nonlinear networks
(CNNs) for image processing are well suited candidates for efficient implementation using …

Image processing, a computationally intensive task must be done quickly, efficiently, and
painlessly in a variety of medical imaging applications to assure quality for both patients and …

Image processing is a very computationally heavy task, especially in the medical field. There
are various medical imaging applications where image processing is required in a fast …

Актуальность исследования обусловлена необходимостью разработки программных
средств слежения за объектами в реальном масштабе времени. Цель работы …