[PDF][PDF] A Comprehensive Review of Image Segmentation Techniques.

SK Abdulateef, MD Salman - Iraqi Journal for Electrical & Electronic …, 2021 - iasj.net
Image segmentation is a wide research topic; a huge amount of research has been
performed in this context. Image segmentation is a crucial procedure for most object …

MU-Net: Modified U-Net architecture for automatic ocean eddy detection

SJ Saida, S Ari - IEEE Geoscience and Remote Sensing Letters, 2022 - ieeexplore.ieee.org
Ocean eddies have a significant effect on the maritime environment. They are necessary for
carrying a variety of ocean traces across the ocean. Although deep learning algorithms for …

Plant disease identification using convolution neural networks

D Mitra, S Gupta, D Srivastava… - Intelligent Internet of Things …, 2023 - taylorfrancis.com
The most extensively utilized and comprehensive common-sense cognitive engine in the
ecosphere is artificial intelligence (AI). The cloud SaaS model and the concept of AI …

[PDF][PDF] Broccoli leaf diseases classification using support vector machine with particle swarm optimization based on feature selection

Y Ferdinand, WF Al Maki - International Journal of …, 2022 - pdfs.semanticscholar.org
Broccoli (Brassica oleracea var. Italica) is a family of Brassicaceae plants and vegetables.
Broccoli comes from the Latin brachium, which means branch and arm. Broccoli has been a …

CellT-net: a composite transformer method for 2-D cell instance segmentation

Z Wan, M Li, Z Wang, H Tan, W Li, L Yu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Cell instance segmentation (CIS) via light microscopy and artificial intelligence (AI) is
essential to cell and gene therapy-based health care management, which offers the hope of …

Plant disease identification and its solution using machine learning

D Mitra, S Gupta - 2022 3rd International Conference on …, 2022 - ieeexplore.ieee.org
In the agricultural sector, crop cultivation is crucial. At the time, ill crops are the main source
of food loss, which affects output rates as a result. It has not yet been investigated how to …

Water Detection in Satellite Images Based on Fractal Dimension

J Del-Pozo-Velázquez, P Chamorro-Posada… - Fractal and …, 2022 - mdpi.com
Identification and monitoring of existing surface water bodies on the Earth are important in
many scientific disciplines and for different industrial uses. This can be performed with the …

Glia cell morphology analysis using the Fiji GliaMorph Toolkit

E Kugler, EM Breitenbach, R MacDonald - Current Protocols, 2023 - Wiley Online Library
Glial cells are the support cells of the nervous system. Glial cells typically have elaborate
morphologies that facilitate close contacts with neighboring neurons, synapses, and the …

Selecting optimal k for K-means in image segmentation using GLCM

M Sabha, M Saffarini - Multimedia Tools and Applications, 2024 - Springer
Region growing, clustering, and thresholding are some of the segmentation techniques that
are employed on images. K-means clustering is one of the proven efficient techniques in …

Active contour models for boundary extraction with application to medical images with noise

NA Kon, AK Jumaat… - Journal of Advanced …, 2023 - semarakilmu.com.my
In medical image processing, active contour model is a method used to segment or extract
the boundaries of an image for further processing. Recently, a selective active contour …