A window-based inverse Hough transform

In this paper a new Hough transform inversion technique is proposed. It is a window-based inverse Hough transform algorithm, which reconstructs the original image using only the data of the Hough space and the dimensions of the image. In order to minimize memory and computing requirements, the origi...

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Vydáno v:Pattern recognition Ročník 33; číslo 6; s. 1105 - 1117
Hlavní autoři: Kesidis, A.L., Papamarkos, N.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 2000
Témata:
Edge extraction
Inverse Hough transform
Line detection
Non-linear filtering
Non-linear filtering
Line detection
Inverse Hough transform
Edge extraction
ISSN:0031-3203, 1873-5142
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Shrnutí:In this paper a new Hough transform inversion technique is proposed. It is a window-based inverse Hough transform algorithm, which reconstructs the original image using only the data of the Hough space and the dimensions of the image. In order to minimize memory and computing requirements, the original image is split into windows. Thus, the algorithm can be used to large-size images as a general purpose tool. In this paper, the proposed technique is applied for edge extraction and filtering. The edges are detected not just as continuous straight lines but as they really appear in the original image, i.e. pixel by pixel. Experimental results indicate that the method is robust, accurate and fast.
Bibliografie:ObjectType-Article-2
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ISSN:0031-3203
1873-5142
DOI:10.1016/S0031-3203(99)00167-3