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
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;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546877
