Abstract
This paper introduces a Super Resolution Hough Transform (SRHT) scheme to address the vote spreading, peak splitting and resolution limitation problems associated with the Hough Transform (HT). The theory underlying the generation of multiple HT data frames and the registration of cells obtained from multiple frames are discussed. Experiments show that the SRHT avoids peak splitting and successfully alleviates vote spreading and resolution limitations.
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Tu, C., van Wyk, B.J., Djouani, K., Hamam, Y., Du, S. (2011). A Super Resolution Algorithm to Improve the Hough Transform. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21593-3_9
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DOI: https://doi.org/10.1007/978-3-642-21593-3_9
Publisher Name: Springer, Berlin, Heidelberg
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