BACKGROUND Nowadays, the whole world is being concerned with a major health problem, which is diabetes. A very common symptom of diabetes is the diabetic foot ulcer (DFU). The early detection of such foot complications can protect diabetic patients from any dangerous stages that develop later and may require foot amputation. This work aims at building a mobile thermal imaging system that can be...

In this work we investigate a novel approach to handle the challenges of face recognition, which includes rotation, scale, occlusion, illumination etc. Here, we have used thermal face images as those are capable to minimize the affect of illumination changes and occlusion due to moustache, beards, adornments etc. The proposed approach registers the training and testing thermal face images in po...

The research advancements have made the neural network algorithms deployed in autonomous vehicle to perceive surrounding. standard exteroceptive sensors that are utilized for perception of environment cameras and Lidar. Therefore, developed using these provided necessary solution vehicle’s perception. One major drawback is their operability adverse weather conditions, instance, low illumination...

A novel approach to face recognition system based on thermal image is presented. The thermal images are captured using Thermal Mid Wave Infrared (MWIR) camera system at various temperature to take into consideration of subtle variations that may occur over time. The vasculature information from the image is extracted and used for matching process. Four images are used for registration process. ...

We propose novel vehicle detection and classification methods based on images from visible light and thermal cameras. These methods can be used in real-time smart surveillance systems. To classify vehicles by type, we extract the headlight and grill areas from the visible light and thermal images. We then extract texture characteristics from the images and use these as features for classifying ...

Infrared cameras are becoming increasingly popular in clinics. Current practices, however, often overlook the importance of emissivity when taking thermal measurements. The consensus is that human skin has an emissivity of 0.98, but this varies between individuals, areas examined and whether the skin is damaged. This research investigated the emissivity variation of chronic wounds and its effec...