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A new method for grey-level picture thresholding using the entropy of the histogram
Open accessAbstract
This paper describes an automatic threshold selection method for picture segmentation, using the entropy of the grey level histogram. It is shown that, by an a priori maximation of an entropy determined a posteriori, a picture can successfully be thresholded into a two-level image. Several experimental results are presented to show the validity of the method. An extension to multithresholding and to multidimensional histogram processing is also discussed.
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Cited by
A fast algorithm for multilevel thresholding
Liao, P., Chen, T.-S., & Chung, P. (2001) · doi:10.6688/jise.2001.17.5.1 · Cited by 940
Pal, N. R., & Pal, S. K. (1989) · Signal Processing · doi:10.1016/0165-1684(89)90090-x · Cited by 280
Development of an automatic monitoring system for rice light-trap pests based on machine vision
YAO, Q., FENG, J., TANG, J., XU, W.-G., ZHU, X.-H., YANG, B.-J., LÜ, J., XIE, Y.-Z., YAO, B., WU, S.-Z., et al. (2020) · Journal of Integrative Agriculture · doi:10.1016/s2095-3119(20)63168-9 · Cited by 76
Metadata
- Authors
- Pun, T.
- Venue
- Signal Processing
- Publisher
- Elsevier BV
- Published
- 1980-07
- Volume
- 2
- Issue
- 3
- Pages
- 223-237
- ISSN
- 0165-1684 (ISSN-L)
- OpenAlex
- W1984153831
- Cited by
- 679
- References
- 0
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: A new method for grey-level picture thresholding using the entropy of the histogram. https://app.cochat.ai/papers/10.1016/0165-1684(80)90020-1
- The paper
- Pun, T. (1980). A new method for grey-level picture thresholding using the entropy of the histogram. Signal Processing. https://doi.org/10.1016/0165-1684(80)90020-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
