Infrared small target detection is an important fundamental task in the infrared system.
Therefore, many infrared small target detection methods have been proposed, in which the …

In the advanced applications, based on infrared detection systems, the precise detection of
small targets has become a tough work today. This becomes even more difficult when the …

In computer vision, object recognition and image categorization have proven to be difficult
challenges. They have, nevertheless, generated responses to a wide range of difficult issues …

The paper focuses on the mathematical modeling of a new double linear array detector. The
special feature of the detector is that image pairs can be generated at short intervals in one …

Many infrared dim small target detection models based on the low-rank and sparse
decomposition (LRSD) achieve satisfactory performance. However, rank surrogate …

Currently, breast cancer has been a major cause of deaths in women worldwide and the
World Health Organization (WHO) has confirmed this. The severity of this disease can be …

In this study, an unsupervised infrared object-detection approach based on spatial–temporal
patch tensor and object selection is proposed to fully use effective temporal information and …

Infrared small target detection (ISTD) in complex backgrounds poses significant challenges
in modern applications. Existing solutions based on infrared patch image (IPI) suffer from …

Today, the development and modernization have led to the generation of waste, which has
become a problem for all the living beings and the environment, whether it is medical waste …

Brain tumours are serious diseases that grow in the brain and are made up of a collection of
abnormal and unwanted cells. Therefore, the use of magnetic resonance imaging (MRI) for …