A Cumulative Sums Algorithm for Segmentation of Digital X-ray Images; Journal of Nondestructive Evaluation; Vol. 38

A Cumulative Sums Algorithm for Segmentation of Digital X-ray Images

Bibliographic Details
Parent link:Journal of Nondestructive Evaluation
Vol. 38.— 2019.— [38, 7 p.]
Main Author: Vorobeychikov S. E. Sergey Erikovich
Corporate Author: Национальный исследовательский Томский политехнический университет Институт неразрушающего контроля Российско-китайская научная лаборатория радиационного контроля и досмотра
Other Authors: Chakhlov S. V. Sergey Vladimirovich, Udod V. A. Viktor Anatolievich
Summary:Title screen
A mathematical model of digital X-ray image of the test object is presented for the case when the main type of image distortion is the noise due to the quantum nature of the radiation. The new multilevel cumulative sums algorithm for automatic image segmentation is proposed. The algorithm is based on the edge detection of the segments homogeneous in brightness along the image rows and columns by repeatedly applying the cumulative sums procedure. The efficiency of the proposed algorithm is compared with the known threshold and Leader algorithms. The comparison was performed on simulated images as well as on the X-ray image of a weld. The mean square errors for the new algorithm were about two and three times less than for the threshold and Leader algorithms, correspondingly.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2019
Subjects:
электронный ресурс
труды учёных ТПУ
inspected object
mathematical model
digital X-ray image
segmentation algorithms
рентгеновское изображение
математическая модель
сегментация
Online Access:https://doi.org/10.1007/s10921-019-0616-3
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660677

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