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        "author": "BSc. Manuel Aguado Mart\u00ednez",
        "author_email": "manuelaguadomtz@gmail.com",
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        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering"
        ],
        "description": "# PyThreshold\n\n**PyThreshold** is a python package featuring Numpy/Scipy implementations of state-of-the-art image thresholding algorithms.\n\n## Installing\n\n**PyThreshold** can be easily installed by typing the following command\n\n    pip install pythreshold\n\n## Usage\n\n    from pythreshold.utils import test_thresholds\n    from scipy.misc import ascent\n\n    # Testing all the included thresholding algorithms\n    test_thresholds()\n\n    # Testing all the included thresholding algorithms using a custom image\n    img = ascent()\n    test_thresholds(img)\n\n## Included Algorithms\n\n* Global thresholding\n    * Parker, J. R. (2010). Algorithms for image processing and\n      computer vision. John Wiley & Sons. (**Two peaks**)\n    * Parker, J. R. (2010). Algorithms for image processing and\n      computer vision. John Wiley & Sons. (**p-tile**)\n    * Otsu, Nobuyuki. \"A threshold selection method from gray-level\n      histograms.\" IEEE transactions on systems, man, and cybernetics\n      9.1 (1979): 62-66.\n    * Kittler, J. and J. Illingworth. \"On Threshold Selection Using Clustering\n      Criteria,\"\" IEEE Transactions on Systems, Man, and Cybernetics 15, no. 5\n      (1985): 652\u2013655.\n    * Entropy thresholding\n        * Johannsen, G., and J. Bille \"A Threshold Selection Method Using\n          Information Measures,\"\" Proceedings of the Sixth International Conference\n          on Pattern Recognition, Munich, Germany (1982): 140\u2013143.\n        * Kapur, J. N., P. K. Sahoo, and A. K. C.Wong. \"A New Method for Gray-Level\n          Picture Thresholding Using the Entropy of the Histogram,\"\" Computer Vision,\n          Graphics, and Image Processing 29, no. 3 (1985): 273\u2013285.\n        * Pun, T. \"A New Method for Grey-Level Picture Thresholding Using the\n          Entropy of the Histogram,\"\" Signal Processing 2, no. 3 (1980): 223\u2013237.\n* Local thresholding\n    * Bernsen, J (1986), \"Dynamic Thresholding of Grey-Level Images\",\n      Proc. of the 8th Int. Conf. on Pattern Recognition\n    * Bradley, D., & Roth, G. (2007). Adaptive thresholding\n      using the integral image. Journal of Graphics Tools, 12(2), 13-21.\n    * Parker, J. R. (2010). Algorithms for image processing and\n      computer vision. John Wiley & Sons. (**Contrast thresholding**)\n    * Meng-Ling Feng and Yap-Peng Tan, \"Contrast adaptive thresholding of\n      low quality document images\", IEICE Electron. Express, Vol. 1, No.\n      16, pp.501-506, (2004).\n    * Parker, J. R. (2010). Algorithms for image processing and\n      computer vision. John Wiley & Sons. (**Local mean thresholding**)\n    * Niblack, W.: \"An introduction to digital image\n      processing\" (Prentice- Hall, Englewood Cliffs, NJ, 1986), pp. 115\u2013116\n    * Sauvola, J., Seppanen, T., Haapakoski, S., and Pietikainen, M.:\n      \"Adaptive document thresholding\". Proc. 4th Int. Conf. on Document\n      Analysis and Recognition, Ulm Germany, 1997, pp. 147\u2013152.\n    * Singh, O. I., Sinam, T., James, O., & Singh, T. R. (2012). Local contrast\n      and mean based thresholding technique in image binarization. International\n      Journal of Computer Applications, 51, 5-10.\n    * C. Wolf, J-M. Jolion, \"Extraction and Recognition of Artificial Text in\n      Multimedia Documents\", Pattern Analysis and Applications, 6(4):309-326, (2003).\n\n\n## Additional Information\n\nDo you find **PyThreshold** useful? You can collaborate with us:\n\n[GitHub](https://github.com/manuelaguadomtz/pythreshold)\n\nAdditional materials and information can be found at:\n\n[ResearchGate](https://www.researchgate.net/project/Numpy-Scipy-implementations-of-image-thresholding-algorithms>)",
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