Paper
1 February 1992 Weighted Hough transform
Mohammad K. Ibrahim, E. C. L. Ngau, Mohammad Farhang Daemi
Author Affiliations +
Abstract
A new method is proposed here termed weighted Hough transform (WHT). The advantage of the WHT is that it can be applied to the differential image directly without the need for thresholding. In the WHT the contribution of each pixel to the parameter domain is weighted according to its value. It is well known that the performance of the conventional Hough transform is dependent on the threshold value used. The new method is therefore a generalizing of the Hough transform to overcome this problems.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohammad K. Ibrahim, E. C. L. Ngau, and Mohammad Farhang Daemi "Weighted Hough transform", Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); https://doi.org/10.1117/12.57063
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Hough transforms

Binary data

Edge detection

Image processing

Computer vision technology

Machine vision

Robot vision

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