Randomized generalized Hough transform for 2-D gray scale object detection
Refereed conference paper presented and published in conference proceedings

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其它資訊
摘要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. © 1996 IEEE.
著者Fung P.-F., Lee W.-S., King I.
會議名稱13th International Conference on Pattern Recognition, ICPR 1996
會議開始日25.08.1996
會議完結日29.08.1996
會議地點Vienna
會議國家/地區奧地利
出版年份1996
月份1
日期1
卷號2
頁次511 - 515
國際標準書號081867282X
國際標準期刊號1051-4651
語言英式英語

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