Advancements in satellite image classification: methodologies, techniques, approaches and applications
Segmentation and classification are two imperative, yet challenging tasks in image analysis
for remote-sensing applications. In the former, an image is divided into spatially continuous …
for remote-sensing applications. In the former, an image is divided into spatially continuous …
Multilevel thresholding for segmentation of medical brain images using real coded genetic algorithm
S Manikandan, K Ramar, MW Iruthayarajan… - Measurement, 2014 - Elsevier
Medical image analysis is one of the major research areas in the last four decades. Many
researchers have contributed quite good algorithms and reported results. In this paper, real …
researchers have contributed quite good algorithms and reported results. In this paper, real …
[HTML][HTML] Using virtual edges to improve the discriminability of co-occurrence text networks
Word co-occurrence networks have been employed to analyze texts both in the practical and
theoretical scenarios. Despite the relative success in several applications, traditional co …
theoretical scenarios. Despite the relative success in several applications, traditional co …
An Introductory Survey of Entropy Applications to Information Theory, Queuing Theory, Engineering, Computer Science, and Statistical Mechanics
Clausius was the first to coin the term “entropy” roughly 160 years ago. Since then, many
scholars from several scientific fields have continued to enhance, develop, and interpret the …
scholars from several scientific fields have continued to enhance, develop, and interpret the …
Automatic land cover reconstruction from historical aerial images: An evaluation of features extraction and classification algorithms
The land cover reconstruction from monochromatic historical aerial images is a challenging
task that has recently attracted an increasing interest from the scientific community with the …
task that has recently attracted an increasing interest from the scientific community with the …
Multi-scale and context-aware framework for flood segmentation in post-disaster high resolution aerial images
SD Khan, S Basalamah - Remote Sensing, 2023 - mdpi.com
Floods are the most frequent natural disasters, occurring almost every year around the
globe. To mitigate the damage caused by a flood, it is important to timely assess the …
globe. To mitigate the damage caused by a flood, it is important to timely assess the …
Image characterization by fractal descriptors in variational mode decomposition domain: application to brain magnetic resonance
S Lahmiri - Physica A: Statistical Mechanics and its Applications, 2016 - Elsevier
The main purpose of this work is to explore the usefulness of fractal descriptors estimated in
multi-resolution domains to characterize biomedical digital image texture. In this regard …
multi-resolution domains to characterize biomedical digital image texture. In this regard …
VISTA: Vision transformer enhanced by U-Net and image colorfulness frame filtration for automatic retail checkout
Multi-class product counting and recognition identifies product items from images or videos
for automated retail checkout. The task is challenging due to the real-world scenario of …
for automated retail checkout. The task is challenging due to the real-world scenario of …
Computer-aided design and manufacturing (CAD/CAM) for bioprinting
CD Fay - 3D Bioprinting: Principles and Protocols, 2020 - Springer
Abstract Three-dimensional (3D) printing of human tissues and organs has been an exciting
area of research for almost three decades [Bonassar and Vacanti. J Cell Biochem. 72 (Suppl …
area of research for almost three decades [Bonassar and Vacanti. J Cell Biochem. 72 (Suppl …
Robust information gain based fuzzy c-means clustering and classification of carotid artery ultrasound images
In this paper, a robust method is proposed for segmentation of medical images by exploiting
the concept of information gain. Medical images contain inherent noise due to imaging …
the concept of information gain. Medical images contain inherent noise due to imaging …