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An introduction to digital image processing
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The article was published on 1986-01-01 and is currently open access. It has received 1745 citations till now. The article focuses on the topics: Digital image processing & Image processing.read more
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Proceedings ArticleDOI
ICDAR 2019 Competition on Document Image Binarization (DIBCO 2019)
Ioannis Pratikakis,Konstantinos Zagoris,Xenofon Karagiannis,Lazaros T. Tsochatzidis,Tanmoy Mondal,Isabelle Marthot-Santaniello +5 more
TL;DR: The competition details including the evaluation measures used as well as the performance of the 24 submitted methods are described along with a brief description of each method.
Journal ArticleDOI
An adaptive local binarization method for document images based on a novel thresholding method and dynamic windows
TL;DR: The results of the experiments show that the proposed method adapts well to all types of binarization challenges, can deal with higher numbers ofbinarization problems and boosts the overall performance of the binarizations.
Journal ArticleDOI
Review of Microcrack Detection Techniques for Silicon Solar Cells
TL;DR: This review paper addresses nondestructive testing techniques that are used to detect microfacial and subfacial cracks in bulk solar cells and uses the multi-attribute decision-making method to evaluate the different inspection tools that are available on the market.
Journal Article
An Evaluation Technique for Binarization Algorithms
TL;DR: This paper proposes a new technique for the validation of document binarization algorithms that is simple in its implementation and can be performed on anybinarization algorithm since it doesn't require anything more than the binarized stage.
Journal ArticleDOI
Stroke-model-based character extraction from gray-level document images
TL;DR: A stroke-model is proposed to depict the local features of character objects as double-edges in a predefined size, which enables us to detect thin connected components selectively, while ignoring relatively large backgrounds that appear complex.
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Survey over image thresholding techniques and quantitative performance evaluation
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