During the last decades, the healthcare area has increasingly relied on medical imaging for
the diagnosis of a growing number of pathologies. The different types of medical images are …

In this paper, we present an algorithm to automatically detect meaningful modes in a
histogram. The proposed method is based on the behavior of local minima in a scale-space …

Autonomous multientity systems are plentiful in natural and artificial worlds. Many systems
have been studied in depth and some models of them have been built as computational …

This paper presents a multi-agent oriented method for solving CSPs (Constraint Satisfaction
Problems). In this method, distributed agents represent variables and a two-dimensional grid …

According to functional or anatomical modalities, medical imaging provides a visual
representation of complex structures or activities in the human body. One of the most …

Autonomy Oriented Computing is a comprehensive reference for scientists, engineers, and
other professionals concerned with this promising development in computer science. It can …

The existence of mixed pixels is a major problem in remote-sensing image classification.
Although the soft classification and spectral unmixing techniques can obtain an abundance …

A novel multi-agent image interpretation system has been developed which is markedly
different from previous approaches in especially its elaborate high-level knowledge-based …

Image interpretation consists in finding a correspondence between radiometric information
and symbolic labeling with respect to specific spatial constraints. It is intrinsically a …

In multi-agent systems, the reactive approach emphasizes on the individual simplicity in
comparison to the collective complexity of the task being performed. However, to apply such …