Abstract
Corner detection is often influenced by noise when Harris corner detection algorithm is applied to digital images. In this paper, the response function of Harris corner detection algorithm is optimized to avoid the influence of k in response function, thus the precision of feature response function of target pixels is improved. The results of applying this method to detecting the feature point of face show that the anti-noise ability of this algorithm is greatly enhanced compared with Harris corner detection algorithm.
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© 2012 Springer-Verlag Berlin Heidelberg
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Shunqing, X., Weihong, Z., Wei, X. (2012). Optimization of Harris Corner Detection Algorithm. In: Zeng, D. (eds) Advances in Control and Communication. Lecture Notes in Electrical Engineering, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26007-0_8
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DOI: https://doi.org/10.1007/978-3-642-26007-0_8
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-26006-3
Online ISBN: 978-3-642-26007-0
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