DocumentCode
708169
Title
A fast hough transform based on C3TR using shift operation
Author
Kondo, Yuki ; Numada, Munetoshi ; Koshimizu, Hiroyasu
Author_Institution
Sch. of Inf. Sci. & Technol., Chukyo Univ., Nagoya, Japan
fYear
2015
fDate
28-30 Jan. 2015
Firstpage
1
Lastpage
6
Abstract
The Hough transform is an important scheme for providing a robust pattern recognition due to the global potential for extracting lines from an image. In order to realize the faster Hough transform, it is the most essential to reduce the cost in both trigonometric function and multiplication calculations. This paper proposes a fast line detection method that generates an accurate Hough curve can be generated by a single operation of multiplication using Cosine-3-Term-Recurrence. Moreover, the high-speed computation method which uses shift operation instead of multiplication was also shown in this research. Doing experiments has confirmed that the proposed method provides the best accuracy and the fastest computation.
Keywords
Hough transforms; object detection; C3TR; Hough curve; Hough transform; cosine-3-term-recurrence; line detection method; multiplication calculations; robust pattern recognition; shift operation; trigonometric function; Approximation error; Computational efficiency; Hardware; Image edge detection; Mathematical model; Transforms; C3TR; Hough Transform; Line Detection; Shift Operation;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers of Computer Vision (FCV), 2015 21st Korea-Japan Joint Workshop on
Conference_Location
Mokpo
Type
conf
DOI
10.1109/FCV.2015.7103700
Filename
7103700
Link To Document