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.
Original language | English |
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Title of host publication | Communications in Computer and Information Science |
Editors | Linqiang Pan, Tao Song, Gheorghe Păun, Mario J. Pérez-Jiménez |
Publisher | Springer Verlag |
Pages | 552-556 |
Number of pages | 5 |
ISBN (Electronic) | 9783662450482 |
DOIs | |
Publication status | Published - 2014 |
Publication series
Name | Communications in Computer and Information Science |
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Volume | 472 |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Keywords
- Adaptive thresholding
- Canny edge detector
- Hysteresis thresholding
- Image histogram
- Unimodal thresholding
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Yu, Y., Li, Z., Liu, B., & Liu, X. (2014). An adaptive unimodal and hysteresis thresholding method. In L. Pan, T. Song, G. Păun, & M. J. Pérez-Jiménez (Eds.), Communications in Computer and Information Science (pp. 552-556). (Communications in Computer and Information Science; Vol. 472). Springer Verlag. https://doi.org/10.1007/978-3-662-45049-9_90