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 …
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …
[HTML][HTML] Applications of machine vision in pharmaceutical technology: A review
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 …
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
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 …
reason for attained disability in human community. Ischemic stroke can be confirmed by …
An overview of biomedical image analysis from the deep learning perspective
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 …
from manual investigations to save time and improve the quality of the diagnosis. Deep …
[КНИГА][B] A beginner's guide to image preprocessing techniques
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 …
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
Brain tumor is one of the harsh diseases among human community and is usually
diagnosed with medical imaging procedures. Computed-Tomography (CT) and Magnetic …
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
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 …
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 …
external interference and imbalance in illumination. Uneven illumination correction …
Intelligent computing in medical imaging: A study
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 …
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
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 …
outbreak of the deadly COVID-19 virus. To save mankind from this apocalyptic onslaught, it …