Minimum Square Distance Thresholding Based on Asymmetrical Co-occurrence Matrix
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-03766-6_91
Reference12 articles.
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2. Sezgin, M., Sankur, B.: Survey over image thresholding techniques and quantitative performance evaluation. J. Electron. Imaging 13(1), 146–168 (2004). https://doi.org/10.1117/1.1631315
3. Chanda, B., Chaudhuri, B.B., Majumder, D.D.: On image enhancement and threshold selection using the gray-level co-occurrence matrix. Pattern Recognit. Lett. 3(2), 243–251 (1985). https://doi.org/10.1016/0167-8655(85)90004-2
4. Liang, D., Kaneko, S., Hashimoto, M., et al.: Co-occurrence probability-based pixel pairs background model for robust object detection in dynamic scenes. Pattern Recognit. 48, 1370–1386 (2015). https://doi.org/10.1016/j.patcog.2014.10.020
5. El-Feghi, I., Adem, N., Sid-Ahmed, M.A., et al.: Improved co-occurrence matrix as a feature space for relative entropy-based image thresholding. In: Proceedings of the Computer Graphics, Imaging and Visualization, vol. 49, pp. 314–320 (2007). http://doi.org/10.1109/CGIV.2007.49
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