Infrared small target detection based on partial sum minimization and total variation
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 …
small targets has become a tough work today. This becomes even more difficult when the …
Infrared small target detection using kernel low-rank approximation and regularization terms for constraints
F Yan, G Xu, Q Wu, J Wang, Z Li - Infrared Physics & Technology, 2022 - Elsevier
The robust detection of infrared (IR) small targets remains a challenging task. When targets
are submerged in heavy clutter or disturbed by strong edge, it is difficult to extract targets …
are submerged in heavy clutter or disturbed by strong edge, it is difficult to extract targets …
[PDF][PDF] Deep attention network for pneumonia detection using chest X-ray images
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 …
challenges. They have, nevertheless, generated responses to a wide range of difficult issues …
Infrared target-background separation based on weighted nuclear norm minimization and robust principal component analysis
The target detection ability of an infrared small target detection (ISTD) system is
advantageous in many applications. The highly varied nature of the background image and …
advantageous in many applications. The highly varied nature of the background image and …
Infrared small target detection based on non‐convex triple tensor factorisation
In the present infrared target detection system, simultaneously achieving both the target
detection performance, as well as, computing efficiency is considered as a big task. To …
detection performance, as well as, computing efficiency is considered as a big task. To …
Local contrast and global contextual information make infrared small object salient again
C Wang, H Wang, P Pan - arxiv preprint arxiv:2301.12093, 2023 - arxiv.org
Infrared small object detection (ISOS) aims to segment small objects only covered with
several pixels from clutter background in infrared images. It's of great challenge due to: 1) …
several pixels from clutter background in infrared images. It's of great challenge due to: 1) …
[PDF][PDF] Hybrid models for breast cancer detection via transfer learning technique
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 …
World Health Organization (WHO) has confirmed this. The severity of this disease can be …
Infrared small target detection based on Bi-Nuclear norm minimization
Infrared small target detection (ISTD) in complex backgrounds poses significant challenges
in modern applications. Existing solutions based on infrared patch image (IPI) suffer from …
in modern applications. Existing solutions based on infrared patch image (IPI) suffer from …
Evaluation of transfer learning based deep learning architectures for waste classification
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 …
become a problem for all the living beings and the environment, whether it is medical waste …
[PDF][PDF] Brain Tumor Detection and Segmentation using Improved Bat Algorithm with Improved Invasive Weed Optimization
V Gupta, V Bibhu, SS Rawat - Journal of Electrical …, 2024 - pdfs.semanticscholar.org
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 …
abnormal and unwanted cells. Therefore, the use of magnetic resonance imaging (MRI) for …