Object’s Border and Position Allocating in an X-Ray Image; Applied Mechanics and Materials; Vol. 756 : Mechanical Engineering, Automation and Control Systems (MEACS2014)

Object’s Border and Position Allocating in an X-Ray Image

Bibliographic Details
Parent link:Applied Mechanics and Materials: Scientific Journal
Vol. 756 : Mechanical Engineering, Automation and Control Systems (MEACS2014).— 2015.— [P. 667-672]
Main Author: Tsapko I. V. Irina Valerievna
Corporate Authors: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС), Национальный исследовательский Томский политехнический университет (ТПУ) Институт физики высоких технологий (ИФВТ) Кафедра общей и неорганической химии (ОНХ)
Other Authors: Vlasov A. V. Aleksey Viktorovich
Summary:Title screen
This paper is concerned with an algorithm of determining a position of an object and its borders in an X-Ray image. The algorithm is based on a preliminary estimation of a histogram of given image. The information retrieved from estimation provides complementary parameters for further edge detection. As a result, this approach allows reducing the processing time. The future research and development of the algorithm will be aimed at object tracking in real-time systems.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2015
Series:Image and Signal Processing, Recognition, Information Processing and Applied Technologies
Subjects:
электронный ресурс
труды учёных ТПУ
обработка
изображения
распознавание изображений
рентгенография
рентгеновские изображения
сегментация
Online Access:http://dx.doi.org/10.4028/www.scientific.net/AMM.756.667
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=641419
Description
Summary:Title screen
This paper is concerned with an algorithm of determining a position of an object and its borders in an X-Ray image. The algorithm is based on a preliminary estimation of a histogram of given image. The information retrieved from estimation provides complementary parameters for further edge detection. As a result, this approach allows reducing the processing time. The future research and development of the algorithm will be aimed at object tracking in real-time systems.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.4028/www.scientific.net/AMM.756.667

Similar Items