We propose a Markov random field (MRF) image segmentation model, which aims at
combining color and texture features. The theoretical framework relies on Bayesian …

This monograph gives an introduction to the fundamentals of Markovian modeling in image
segmentation as well as a brief overview of recent advances in the field. Segmentation is …

Artificial Intelligence (AI) and Law has been a burgeoning domain since the 1980s, but it
was not until the 2000s that models of reasoning about legal evidence started to feature …

Background Augmented reality (AR) surgery has not been successfully implemented in knee
replacement surgery due to the negative effect of cutting errors. This research aims to …

The increasing penetration of photovoltaic systems in the power grid makes it vulnerable to
cloud shadow projection. Real-time cloud segmentation in ground-based infrared images is …

An abundance of various segmentation techniques are available in the literature, that cater
to wide range of image understanding applications. The paper proposes a unified way of …

We are not very pleased when we are forced to accept a mathematical truth by virtue of a
complicated chain of formal conclusions and computations, which we traverse blindly, link …

Prostate cancer (CaP) is the second most diagnosed cancer in men all over the world. CaP
growth is characterized by two main types of evolution:(i) the slow-growing tumours progress …

The texture and color on wood are key factors that influence an individual's perception of it.
However, little research has been done to confirm what kind of pattern in textures and colors …

In this paper, we present a Hidden Markov Random Field (HMRF) data-fusion model. The
proposed model is applied to the segmentation of natural images based on the fusion of …