Optimal Methods of Segmentation of Tomographic Volume Searching System: A Preliminary Review; Key Engineering Materials; Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015)

Bibliographic Details
Parent link:Key Engineering Materials: Scientific Journal
Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 857-862]
Main Author: Skirnevsky I. P. Igor Petrovich
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Other Authors: Korovin A.
Summary:Title screen
Recent research studies in the sphere of computer tomography are connected with the task of image analysis. Due to the fact that computed tomography images include artifacts, low contrast and different types of noises, researchers have to deal with a wide range of problems during the processing. There is a wide variety of preliminary processing methods which allow solving these problems. Obviously, the choice of these methods has a major impact on the result [1]. However, algorithm analysis of computed tomography images is not considered in the literature nowadays. This work presents an overview of the implementation approach of these methods.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2016
Series:Information Technology, Data and Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.4028/www.scientific.net/KEM.685.857
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646555
Description
Summary:Title screen
Recent research studies in the sphere of computer tomography are connected with the task of image analysis. Due to the fact that computed tomography images include artifacts, low contrast and different types of noises, researchers have to deal with a wide range of problems during the processing. There is a wide variety of preliminary processing methods which allow solving these problems. Obviously, the choice of these methods has a major impact on the result [1]. However, algorithm analysis of computed tomography images is not considered in the literature nowadays. This work presents an overview of the implementation approach of these methods.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.4028/www.scientific.net/KEM.685.857