Y Wang, C Xin, Y Gao, P Li, M Wang, S Wu… - Agriculture …, 2024 - Elsevier
Utilizing image-based computer vision techniques, many high-throughput phenotyping methods have been employed to capture intricate growth trait characteristics, offering …
This study aims to develop a segmentation technique that can be used to identify objects in an image. The concept used is to imitate the human concept of recognizing an object based …
G Trivedi, R Sanghvi - International Journal of Applied and Computational …, 2024 - Springer
Infrared and visible image fusion is an important task in many applications, such as surveillance, remote sensing, and medical imaging. This paper proposes a novel algorithm …
In recent years, Image processing techniques have gained increased significance across a broad range of applications concerning computer technology. The digital image is …
Despite substantial breakthroughs in methods of detection, prevention, and treatment, cancer remains the top cause of premature death worldwide, surpassing cardiovascular …
GJ Trivedi, RS Sanghvi - Surveys in Mathematics and its Applications, 2024 - utgjiu.ro
This paper presents a novel method for Multifocus image fusion that combines anisotropic diffusion PDE filtering and convolutional neural network (CNN) feature extraction. The …
Z Dlamini, R Hull - Artificial Intelligence and Precision Oncology: Bridging …, 2023 - Springer
Personalised oncology has long been the ideal when it comes to the management of cancer. The ability to tailor screening, diagnosis, therapy and monitoring to an individual …
JB Chaudron, AM González - IJCCI, 2023 - scitepress.org
Image segmentation is an important topic in computer vision which encompasses a variety of techniques to divide image into multiple areas or sub-regions in order to extract …
Welding activities are very hazardous and sometimes disadvantageous to its clients when it comes to accidents or uncertainty coincidences. The uncertainties might be caused by …