Vessel segmentation in medical imaging using a tight-frame--based algorithm

X Cai, R Chan, S Morigi, F Sgallari - SIAM Journal on Imaging Sciences, 2013 - SIAM
Tight-frame, a generalization of orthogonal wavelets, has been used successfully in various
problems in image processing, including inpainting, impulse noise removal, and …

The endocranial vascular system: tracing vessels

G Rangel de Lázaro, S Eisová, H Píšová… - Digital Endocasts: From …, 2018 - Springer
The vascular system is distributed throughout the cerebral, connective, and bony elements
of the braincase, and it supplies an anatomical connection between these three components …

A three-stage shearlet-based algorithm for vessel segmentation in medical imaging

M Mirzafam, N Aghazadeh - Pattern Analysis and Applications, 2021 - Springer
Dictionaries are known tools used in different branches of image processing like edge
detection, inpainting and, etc. Segmentation is the task of extracting an object as the part of a …

[PDF][PDF] Retinal vessel segmentation using a finite element based binary level set method

Z Guo, P Lin, G Ji, Y Wang - Inverse Problems and …, 2014 - pdfs.semanticscholar.org
In this paper we combine a few techniques to label blood vessels in the matched filter (MF)
response image by using a finite element based binary level set method. An operator …

Automatic segmentation of the carotid artery bifurcation region with a region-growing approach

MR Ogiela, T Hachaj - Journal of Electronic Imaging, 2013 - spiedigitallibrary.org
The original contribution is to propose an intensity-based segmentation algorithm for
extracting the carotid artery bifurcation region and validate the proposed solution on real …

An Overview of SaT Segmentation Methodology and Its Applications in Image Processing

X Cai, R Chan, T Zeng - … of Mathematical Models and Algorithms in …, 2021 - Springer
As a fundamental and challenging task in many subjects such as image processing and
computer vision, image segmentation is of great importance but is constantly challenging to …

3D reconstruction of neurons in electron microscopy images

S Ensafi, S Lu, AA Kassim… - 2014 36th Annual …, 2014 - ieeexplore.ieee.org
With the prevalence of brain-related diseases like Alzheimer in an increasing ageing
population, Connectomics, the study of connections between neurons of the human brain …

An overview of SaT segmentation methodology and its applications in image processing

X Cai, R Chan, T Zeng - … of Mathematical Models and Algorithms in …, 2023 - Springer
As a fundamental and challenging task in many subjects such as image processing and
computer vision, image segmentation is of great importance but is constantly challenging to …

Blood Vessels Extraction from MRA Images by a Region Growing Algorithm Based on a New Nonlinear Contrast Stretching Function and Shearlets Frame

M Mirzafam, N Aghazadeh - Journal of Machine Vision and …, 2021 - jmvip.sinaweb.net
Region growing, in a simple version, is a segmentation process, which having pixels as
seeds, pixels with the same intensities and connected them are added to the area gradually …

استخراج عروق خونی از تصاویر‎ MRA‎ توسط الگوریتم رشد ‌ناحیه مبتنی بر یک کشش کنتراست غیرخطی جدید و قاب شرلت‌ها

میرزافام, آقازاده, ناصر - مجله بینایی ماشین و پردازش تصویر, 2021‎ - jmvip.sinaweb.net
در رشد‌ناحیه فرآیند قطعه بندی باینری تصویر است که با داشتن پیکسل‌هایی به عنوان بذر،
پیکسل‌های مشابه و متصل به آنها به ناحیه اضافه می‌شود و درنهایت تصویری باینری که شامل شی یا …