Results 1 to 10 of about 9,982 (187)
Image Co-Skeletonization via Co-Segmentation [PDF]
IEEE Transactions on Image Processing, 2021 13 pages, 12 figures, Submitted to IEEE Transactions on Image Processing (TIP)
Koteswar Rao Jerripothula +2 more
exaly +4 more sources
Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey
Entropy, 2022 Hepatic vessel skeletonization serves as an important means of hepatic vascular analysis and vessel segmentation. This paper presents a survey of techniques and algorithms for hepatic vessel skeletonization in medical images.
Jianfeng Zhang +3 more
doaj +3 more sources
Early and progressive retinal microglial changes in APPNL-F/NL-F mouse model of Alzheimer’s disease revealed by an automated image analysis software [PDF]
Frontiers in Aging NeuroscienceAlzheimer’s disease (AD) is characterized by the accumulation of misfolded proteins that trigger neuroinflammation and neuronal loss. The retina, as an extension of the central nervous system, mirrors these pathological processes and represents a ...
Lidia Sánchez-Puebla +24 more
doaj +2 more sources
Edge-Supervised Linear Object Skeletonization for High-Speed Camera
Sensors, 2023 This paper presents a high-speed skeletonization algorithm for detecting the skeletons of linear objects from their binary images. The primary objective of our research is to achieve rapid extraction of the skeletons from binary images while maintaining ...
Taohan Wang, Yuji Yamakawa
doaj +3 more sources
A spontaneous keypoints connection algorithm for leafy plants skeletonization and phenotypes extraction [PDF]
Frontiers in Plant ScienceIntroductionLeaf phenotypes are key indicators of plant growth status. Existing deep learning–based leaf skeletonization typically requires extensive manual labeling, long training, and predefined keypoints, which limits scalability.
Zhen Wang +6 more
doaj +2 more sources
Skeletonization Algorithm for Binary Images
Procedia Technology, 2013 AbstractSkeletonization and also known as thinning process is an important step in pre-processing phase. Skeletonization is a crucial process for many applications such as OCR, writer identification ect. However, the improvements in this area still remain due to researches recently. A new skeletonization algorithm is proposed in this paper.
Siti Norul Huda Sheikh Abdullah +2 more
exaly +2 more sources
VESNA: an open-source tool for automated 3D vessel segmentation and network analysis [PDF]
BMC BioinformaticsBackground Vasculature is an essential part of all tissues and organs and is involved in a wide range of different diseases. However, available software for blood vessel image analysis is often limited: Some only process two-dimensional data, others lack
Magdalena Schüttler +5 more
doaj +2 more sources
Skeleting of Low-Contrast Noisy Halftone Images
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2023 The problem of forming the skeletons of halftone images with two-mode brightness histograms under conditions of changing contrast and noise is considered. On such histograms, one mode corresponds to the objects, and the other to the background. Thanks to
Ma Jun +2 more
doaj +1 more source
Frontiers in Neuroinformatics, 2022 Benefiting from the rapid development of electron microscopy imaging and deep learning technologies, an increasing number of brain image datasets with segmentation and synapse detection are published.
Jingpeng Wu +7 more
doaj +1 more source
Evaluation of Skeletonization Techniques for 2D Binary Images
Информатика и автоматизация, 2023 In the realm of modern image processing, the emphasis often lies on engineering-based approaches rather than scientific solutions to address diverse practical problems.
Shadi Ibrahim Abudalfa
doaj +1 more source