A Systematic Literature Review: Performance Comparison of Edge Detection Operators in Medical Images
AD Mayangsari, IWP Agung - Jurnal ELTIKOM: Jurnal Teknik …, 2024 - eltikom.poliban.ac.id
Medical images play a crucial role in the diagnosis of diseases. To make the diagnosis more
accurate, the image should usually be enhanced first using image processing methods such …
accurate, the image should usually be enhanced first using image processing methods such …
Experimental Study on the Morphology of Snow Crystal Particles and Its Influence on Compacted Snow Hardness
In their natural state, snow crystals are influenced by the atmosphere during formation and
multiple factors after landing, resulting in varying particle sizes and unstable particle …
multiple factors after landing, resulting in varying particle sizes and unstable particle …
DFPT-CNN: A Dual feature extraction and pretrained CNN synergy for minimal computational overhead and enhanced accuracy in multi-class medical image …
DA Varughese, S Sridevi - IEEE Access, 2024 - ieeexplore.ieee.org
In the advanced computer vision era, Convolutional Neural Network (CNN) plays a pivotal
role in image processing, as they excel at automatically extracting important patterns, and …
role in image processing, as they excel at automatically extracting important patterns, and …
Georeferencing Remote Sensing Data Using Long Gradients
MV Gashnikov - Optical Memory and Neural Networks, 2024 - Springer
The paper investigates algorithms using long intensity gradients for georeferencing of Earth
remote sensing data. The case is considered in which one “reliable” referenced set of …
remote sensing data. The case is considered in which one “reliable” referenced set of …