Change detection techniques for remote sensing applications: A survey

A Asokan, J Anitha - Earth Science Informatics, 2019 - Springer
Change detection captures the spatial changes from multi temporal satellite images due to
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …

[HTML][HTML] Applications of machine vision in pharmaceutical technology: A review

DL Galata, LA Meszaros, N Kallai-Szabo… - European Journal of …, 2021 - Elsevier
The goal of this paper is to give an introduction to analysis of images acquired by a digital
camera with visible illumination and to review its applications as a Process Analytical …

Segmentation of ischemic stroke lesion in brain MRI based on social group optimization and Fuzzy-Tsallis entropy

V Ra**ikanth, SC Satapathy - Arabian Journal for Science and …, 2018 - Springer
Stroke is one of the widespread causes of morbidity worldwide and is also the foremost
reason for attained disability in human community. Ischemic stroke can be confirmed by …

An overview of biomedical image analysis from the deep learning perspective

S Chakraborty, K Mali - … machine intelligence in computer vision and …, 2020 - igi-global.com
Biomedical image analysis methods are gradually shifting towards computer-aided solutions
from manual investigations to save time and improve the quality of the diagnosis. Deep …

[КНИГА][B] A beginner's guide to image preprocessing techniques

J Chaki, N Dey - 2018 - taylorfrancis.com
For optimal computer vision outcomes, attention to image pre-processing is required so that
one can improve image features by eliminating unwanted falsification. This book …

Social-Group-Optimization based tumor evaluation tool for clinical brain MRI of Flair/diffusion-weighted modality

N Dey, V Ra**ikanth, F Shi, JMRS Tavares… - Biocybernetics and …, 2019 - Elsevier
Brain tumor is one of the harsh diseases among human community and is usually
diagnosed with medical imaging procedures. Computed-Tomography (CT) and Magnetic …

SuFMoFPA: A superpixel and meta-heuristic based fuzzy image segmentation approach to explicate COVID-19 radiological images

S Chakraborty, K Mali - Expert Systems with Applications, 2021 - Elsevier
Coronavirus disease 2019 or COVID-19 is one of the biggest challenges which are being
faced by mankind. Researchers are continuously trying to discover a vaccine or medicine for …

Uneven illumination correction of digital images: A survey of the state-of-the-art

N Dey - Optik, 2019 - Elsevier
The common image related artifacts during image acquisition are noise caused due to
external interference and imbalance in illumination. Uneven illumination correction …

Intelligent computing in medical imaging: A study

S Chakraborty, S Chatterjee, AS Ashour… - … Anthology on Multi …, 2021 - igi-global.com
Biomedical imaging is considered main procedure to acquire valuable physical information
about the human body and some other biological species. It produces specialized images of …

An unsupervised fuzzy clustering approach for early screening of COVID-19 from radiological images

W Ding, S Chakraborty, K Mali… - … on Fuzzy Systems, 2021 - ieeexplore.ieee.org
A global pandemic scenario is witnessed worldwide owing to the menace of the rapid
outbreak of the deadly COVID-19 virus. To save mankind from this apocalyptic onslaught, it …