Vessel segmentation in medical imaging using a tight-frame--based algorithm
Tight-frame, a generalization of orthogonal wavelets, has been used successfully in various
problems in image processing, including inpainting, impulse noise removal, and …
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 …
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 …
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
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 …
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
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 …
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
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 …
computer vision, image segmentation is of great importance but is constantly challenging to …
3D reconstruction of neurons in electron microscopy images
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 …
population, Connectomics, the study of connections between neurons of the human brain …
An overview of SaT segmentation methodology and its applications in image processing
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 …
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 …
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 …
پیکسلهای مشابه و متصل به آنها به ناحیه اضافه میشود و درنهایت تصویری باینری که شامل شی یا …