Abstract
This paper addresses the unimodal and hysteresis thresholding, where a pair of low and high thresholds is under investigation targeted with the unimodal image histogram. The novel bowstring is introduced to make an accurate priori-measurement of the overall tendency of the histogram. The dual-threshold is further computed by adaptively searching two tangent points corresponding to the properly defined transitional characteristics over the whole histogram. The effectiveness of this proposed algorithm is evaluated using the Baddeley’s discrepancy.
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Yu, Y., Li, Z., Liu, B., Liu, X. (2014). An Adaptive Unimodal and Hysteresis Thresholding Method. In: Pan, L., Păun, G., Pérez-Jiménez, M.J., Song, T. (eds) Bio-Inspired Computing - Theories and Applications. Communications in Computer and Information Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45049-9_90
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DOI: https://doi.org/10.1007/978-3-662-45049-9_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45048-2
Online ISBN: 978-3-662-45049-9
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