Abstract
A new method for determination of the best hypothesis in Hough transform (HT)-based methods to detect ellipses is described. The method uses a new distinctiveness measurement to rank the hypotheses and determine a suitable candidate. The method is aimed at improving HT robustness to image noise and quantization effects. Experiments on images that demonstrate the method’s applicability are also presented.
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Wang, C., Newman, T.S., Cao, C. (2007). New Hypothesis Distinctiveness Measure for Better Ellipse Extraction. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_16
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DOI: https://doi.org/10.1007/978-3-540-74260-9_16
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