Ternary Entropy-Based Binarization of Degraded Document Images Using Morphological Operators

Author:

Le T. Hoang Ngan,Bui Tien D.,Suen Ching Y.

Publisher

IEEE

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Art and Algorithms for Segmentation of Ultrasound Images of Breast Cancer Using Artificial Life;2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2023-03-22

2. Image Binarization with Hybrid Adaptive Thresholds;Applied Computing for Software and Smart Systems;2023

3. Segmentation of Diabetic Retinopathy Based on Retinal Fundus Images Using Thresholding Technique;Proceedings of the Multimedia University Engineering Conference (MECON 2022);2022-12-23

4. Detection for Rail Surface Defects via Partitioned Edge Feature;IEEE Transactions on Intelligent Transportation Systems;2021

5. Robust Combined Binarization Method of Non-Uniformly Illuminated Document Images for Alphanumerical Character Recognition;Sensors;2020-05-21

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