Automatic segmentation of calcified plaques and vessel borders in IVUS images
Objective Intravascular ultrasound (IVUS) is a diagnostic imaging technique for tomographic
visualization of coronary arteries. Automatic analysis of IVUS images is difficult due to …
visualization of coronary arteries. Automatic analysis of IVUS images is difficult due to …
Automated diagnosis of diabetic retinopathy and glaucoma using fundus and OCT images
A Pachiyappan, UN Das, TVSP Murthy… - Lipids in health and …, 2012 - Springer
We describe a system for the automated diagnosis of diabetic retinopathy and glaucoma
using fundus and optical coherence tomography (OCT) images. Automatic screening will …
using fundus and optical coherence tomography (OCT) images. Automatic screening will …
Segmentation of nucleus and cytoplasm of white blood cells using Gram-Schmidt orthogonalization and deformable models
SH Rezatofighi, RA Zoroofi, R Sharifian… - 2008 9th …, 2008 - ieeexplore.ieee.org
Automatic recognition of white blood cells in hematological can be divided into four major
parts: preprocessing, image segmentation, feature extraction and classification. Due to the …
parts: preprocessing, image segmentation, feature extraction and classification. Due to the …
Segmentation tridimensionnelle d'images échographiques intravasculaires (IVUS).
H Abdelaziz - 2022 - dspace.ummto.dz
La segmentation tridimensionnelle (3D) d'images qui a pour but de détecter les zones ou les
structures homogènes, suscite un grand intérêt dans l'analyse des images médicales en …
structures homogènes, suscite un grand intérêt dans l'analyse des images médicales en …
Resolving Occlusion Method of Virtual Object in Simulation Using Snake and Picking Algorithm
JH Cha, GY Kim, HI Choi - … Conference, Beijing, China, May 27-30, 2007 …, 2007 - Springer
For realistic simulation, it is essential to register the two worlds, calculate the occlusion realm
between the real world and the virtual object, and determine the location of the virtual object …
between the real world and the virtual object, and determine the location of the virtual object …
[PDF][PDF] Background Subtraction using an Active Contour Model
S Buachan, T Kasetkasem, S Marukatat… - Science & Technology …, 2012 - thaiscience.info
Clear background images are useful for various video processing algorithms. Using the fact
that non-background objects and their background scenes are not dependent, a contour …
that non-background objects and their background scenes are not dependent, a contour …
[HTML][HTML] Augmented Reality for Realistic Simulation Using Improved Snake and Picking Algorithm by Proportional Relational Expression
CHA JeongHee, KIM GyeYoung, C HyungIl - Int'l J. of Communications …, 2009 - scirp.org
In realistic simulation of mobile Augmented Reality, essential point is how to best depict
occluded area in such a way that the user can correctly infer the depth relationships …
occluded area in such a way that the user can correctly infer the depth relationships …
[PDF][PDF] OCCLUSION DETECTION OF VIRTUAL TARGET FOR AUGMENTED REALITY
G Kim, C Suh, S Lee, S Lee - isiem.net
In this paper, we present several techniques for displaying a virtual target, in which a target
is integrated into a 3-D real environment. The first result involves formation of wireframe …
is integrated into a 3-D real environment. The first result involves formation of wireframe …
A probabilistic approach for an active contour-based background subtraction
S Buachan, T Kasetkasem, S Marukatat… - 2012 9th International …, 2012 - ieeexplore.ieee.org
Contour-based background subtraction algorithms are always focusing on the edge of
objects in the scene. Most of them may fail when an initial contour is accidentally located …
objects in the scene. Most of them may fail when an initial contour is accidentally located …