DocumentCode
2410968
Title
Randomized generalized Hough transform for 2-D gray scale object detection
Author
Fung, Ping-Fu ; Lee, Wing-Sze ; King, Irwin
Author_Institution
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume
2
fYear
1996
fDate
25-29 Aug 1996
Firstpage
511
Abstract
This paper proposes a new algorithm for 2D object detection called randomized generalized Hough transform (RGHT). It combines the generalized Hough transform (GHT) with the randomized Hough transform (RHT). Our algorithm can detect arbitrary objects of various scales and orientations in gray level images. We also demonstrate RGHT´s advantages of high speed, low storage requirement, high accuracy and arbitrary resolution through comparison with other related algorithms
Keywords
Hough transforms; computer vision; object recognition; 2D gray scale images; computer vision; object detection; randomized generalized Hough transform; Aerospace industry; Algorithm design and analysis; Computer science; Equations; Gray-scale; Image processing; Image sampling; Object detection; Shape; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546877
Filename
546877
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