Extended Standard Hough Transform for analytical line recognition

Extended Standard Hough Transform for analytical line recognition
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用于分析线识别的扩展标准霍夫变换

DOI:
10.14569/ijacsa.2013.040339
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发表时间:
2012
期刊:
2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)
影响因子:
--
通讯作者:
Eric Andres
Eric Andres
中科院分区:
--
文献类型:
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作者:
A. Séré;Oumarou Sié;Eric Andres

文献摘要

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本文提出了一种扩展标准霍夫变换的新方法,用于识别噪声图片中的朴素线或标准线。所提出的想法保留了标准霍夫变换的能力,特别是参数空间的有限大小和垂直线的识别。 The dual of a segment, and the dual of a pixel have been proposed to lead to a new definition of the preimage.对于像素对偶的正弦曲线,可以建立多种近似替代方案,以获得新的线条识别算法。
This paper presents a new method which extends the Standard Hough Transform for the recognition of naive or standard line in a noisy picture. The proposed idea conserves the power of the Standard Hough Transform particularly a limited size of the parameter space and the recognition of vertical lines. The dual of a segment, and the dual of a pixel have been proposed to lead to a new definition of the preimage. Many alternatives of approximation could be established for the sinusoid curves of the dual of a pixel to get new algorithms of line recognition.