Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …

As a non‐contact temperature distribution measurement method, infrared thermography
(IRT) has emerged as an indispensable tool in condition monitoring and fault diagnosis of …

Thermal anomalies in electrical equipments can be extracted if its infrared image is
segmented properly. However, segmenting the infrared image is a very challenging task due …

The Differential Evolution algorithm represents an adaptive search process for solving
engineering and machine learning optimization problems. Performance of this algorithm rely …

Soil Moisture aid analysts in study of soil science, agriculture and hydrology. Satellite
imagery for soil moisture estimation is recorded through earth satellites. By segmenting …

Effective segmentation of thermal images reflecting the inflamed region in human body to
assist medical diagnosis is a challenging task. In this paper we propose a method for …

The aim of this paper is to diagnose the bushing faults by making use of the infrared images.
Before diagnosing the bushing faults, the preprocessing and segmentation should be …

Differential Evolution (DE) is a potent stochastic evolutionary optimization algorithm
garnering increasing research attention. Over the years, it has been found applicable in …

Thermal images are exploited in many areas of pattern recognition applications. Infrared
thermal image segmentation can be used for object detection by extracting regions of …

This paper presents a method for automatically finding regions of interest (ROIs) in the
infrared image of electrical installation. These regions are very important in diagnosing the …