Package: pythreshold
PyThresholdPyThresholdis a python package featuring Numpy/Scipy implementations of state-of-the-art image thresholding algorithms.InstallingPyThresholdcan be easily installed by typing the following commandpip install pythresholdUsagefrom pythreshold.utils import test_thresholds
from scipy.misc import ascent

# Testing all the included thresholding algorithms
test_thresholds()

# Testing all the included thresholding algorithms using a custom image
img = ascent()
test_thresholds(img)Or just type in a terminal:pythreshold -i /path/to/input/image -o /output/directory/for/thresholded/imagesIncluded AlgorithmsGlobal thresholdingParker, J. R. (2010). Algorithms for image processing and
computer vision. John Wiley & Sons. (Two peaks)Parker, J. R. (2010). Algorithms for image processing and
computer vision. John Wiley & Sons. (p-tile)Otsu, Nobuyuki. "A threshold selection method from gray-level
histograms." IEEE transactions on systems, man, and cybernetics
9.1 (1979): 62-66.Kittler, J. and J. Illingworth. "On Threshold Selection Using Clustering
Criteria,"" IEEE Transactions on Systems, Man, and Cybernetics 15, no. 5
(1985): 652–655.Entropy thresholdingJohannsen, G., and J. Bille "A Threshold Selection Method Using
Information Measures,"" Proceedings of the Sixth International Conference
on Pattern Recognition, Munich, Germany (1982): 140–143.Kapur, J. N., P. K. Sahoo, and A. K. C.Wong. "A New Method for Gray-Level
Picture Thresholding Using the Entropy of the Histogram,"" Computer Vision,
Graphics, and Image Processing 29, no. 3 (1985): 273–285.Pun, T. "A New Method for Grey-Level Picture Thresholding Using the
Entropy of the Histogram,"" Signal Processing 2, no. 3 (1980): 223–237.Global thresholding (Multi-threshold)Liao, Ping-Sung, Tse-Sheng Chen, and Pau-Choo Chung. "A fast algorithm
for multilevel thresholding." J. Inf. Sci. Eng. 17.5 (2001): 713-727.Entropy thresholdingKapur, J. N., P. K. Sahoo, and A. K. C.Wong. "A New Method for Gray-Level
Picture Thresholding Using the Entropy of the Histogram,"" Computer Vision,
Graphics, and Image Processing 29, no. 3 (1985): 273–285.Local thresholdingBernsen, J (1986), "Dynamic Thresholding of Grey-Level Images",
Proc. of the 8th Int. Conf. on Pattern RecognitionBradley, D., & Roth, G. (2007). Adaptive thresholding
using the integral image. Journal of Graphics Tools, 12(2), 13-21.Parker, J. R. (2010). Algorithms for image processing and
computer vision. John Wiley & Sons. (Contrast thresholding)Meng-Ling Feng and Yap-Peng Tan, "Contrast adaptive thresholding of
low quality document images", IEICE Electron. Express, Vol. 1, No.
16, pp.501-506, (2004).Parker, J. R. (2010). Algorithms for image processing and
computer vision. John Wiley & Sons. (Local mean thresholding)Niblack, W.: "An introduction to digital image
processing" (Prentice- Hall, Englewood Cliffs, NJ, 1986), pp. 115–116Sauvola, J., Seppanen, T., Haapakoski, S., and Pietikainen, M.:
"Adaptive document thresholding". Proc. 4th Int. Conf. on Document
Analysis and Recognition, Ulm Germany, 1997, pp. 147–152.Singh, O. I., Sinam, T., James, O., & Singh, T. R. (2012). Local contrast
and mean based thresholding technique in image binarization. International
Journal of Computer Applications, 51, 5-10.C. Wolf, J-M. Jolion, "Extraction and Recognition of Artificial Text in
Multimedia Documents", Pattern Analysis and Applications, 6(4):309-326, (2003).Additional InformationDo you findPyThresholduseful? You can collaborate with us:GitHubAdditional materials and information can be found at:ResearchGate