Generalization of the Fast Hough Transform for Three-Dimensional Images
- Авторы: Ershov E.I.1, Terekhin A.P.1, Nikolaev D.P.1
-
Учреждения:
- Kharkevich Institute for Information Transmission Problems
- Выпуск: Том 63, № 6 (2018)
- Страницы: 626-636
- Раздел: Mathematical Models and Computational Methods
- URL: https://journals.rcsi.science/1064-2269/article/view/199883
- DOI: https://doi.org/10.1134/S1064226918060074
- ID: 199883
Цитировать
Аннотация
This study is devoted to the analysis of algorithms of calculating the fast Hough transform for two- and three-dimensional images. A method for calculating the fast Hough transform (FHT) for straight lines in a three-dimensional image is proposed; its space and time complexity are Θ(n4), where n is the characteristic linear size of the input image. The FHT algorithms for approximation in two- and three-dimensional spaces are considered, and properties of the accuracy and completeness of the corresponding sets of dyadic patterns are investigated.
Об авторах
E. Ershov
Kharkevich Institute for Information Transmission Problems
Автор, ответственный за переписку.
Email: ershov@iitp.ru
Россия, Moscow, 127051
A. Terekhin
Kharkevich Institute for Information Transmission Problems
Email: ershov@iitp.ru
Россия, Moscow, 127051
D. Nikolaev
Kharkevich Institute for Information Transmission Problems
Email: ershov@iitp.ru
Россия, Moscow, 127051
Дополнительные файлы
