ICDAR 2019 Time-Quality Binarization Competition
| Autor: | Rodrigo Barros Bernardino, Elisa H. Barney Smith, Rafael Dueire Lins, Ergina Kavallieratou, Darlisson Marinho de Jesus |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering Pattern recognition 02 engineering and technology Image (mathematics) Competition (economics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Fraction (mathematics) Quality (business) Artificial intelligence business media_common |
| Zdroj: | ICDAR |
| DOI: | 10.1109/icdar.2019.00248 |
| Popis: | The ICDAR 2019 Time-Quality Binarization Competition assessed the performance of seventeen new together with thirty previously published binarization algorithms. The quality of the resulting two-tone image and the execution time were assessed. Comparisons were on both in "real-world" and synthetic scanned images, and in documents photographed with four models of widely used portable phones. Most of the submitted algorithms employed machine learning techniques and performed best on the most complex images. Traditional algorithms provided very good results at a fraction of the time. |
| Databáze: | OpenAIRE |
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