DocumentCode :
1798384
Title :
Method for improving the Generalized Interpolated Fourier Transform
Author :
Mengmeng He ; Liying Zheng
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
Volume :
2
fYear :
2014
fDate :
13-16 July 2014
Firstpage :
607
Lastpage :
610
Abstract :
Straight line detection is fairly common in computer vision community. Compared with Hough transform, Radon transform has been widely used for detecting Straight lines due to its superior capability .In this paper, we proposed a method for improving the performance of the Generalized Interpolated Fourier Transform(GIFT). The proposed method not only provides a principle to choose the parameters of the GIFT, but also establishes a position mapping file from the Cartesian to polar coordinates transformation. Comparing to the original multiplication and cosine operation, looking up mapping files will save a lot of computing time. Simulation results in Section 4 show that our method has a considerable reduction in computational complexity.
Keywords :
Fourier transforms; Hough transforms; Radon transforms; computational complexity; computer vision; interpolation; object detection; Cartesian coordinates transformation; GIFT; Hough transform; Radon transform; computational complexity; computer vision; generalized interpolated Fourier transform; polar coordinates transformation; straight line detection; Abstracts; Image resolution; Roads; Transforms; Multilayer fractional Fourier transform; Parameter selection; Position mapping files; Radon Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
ISSN :
2160-133X
Print_ISBN :
978-1-4799-4216-9
Type :
conf
DOI :
10.1109/ICMLC.2014.7009677
Filename :
7009677
Link To Document :
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