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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
A novel method for binarization of badly illuminated document images
TL;DR: A novel document image binarization technique that separates text from background in badly illuminated document images by using morphological closing operation, which offers better result for document images with bad degradation and lighting variance in comparison to former common methods.
Journal ArticleDOI
Direct gray-scale extraction of topographic features for vein recognition
TL;DR: The proposed method is better than the traditional processing (performing binarization first and then skeletonization), in that it can overcome the problem that some separate vein lines are extracted incorrectly, and it can avoid extracting two neighboring vein lines as one ridge.
Proceedings ArticleDOI
Automatic indexing of French handwritten census registers for probate geneaology
TL;DR: The complete indexing process of the registers of a French census dating back to more than a hundred years is described, from image analysis to the integration into the information system, in the context of probate genealogy.
Journal ArticleDOI
Biomedical Image Segmentation: A Survey
TL;DR: A comprehensive review of the current medical segmentation techniques is presented in this article, where the most important segmentation methods have been utilized for almost all types of medical images and their main advantages and limitations are discussed.
Proceedings Article
Enhanced bleedthrough correction for early music documents with recto-verso registration
TL;DR: This paper's approach to registering scanned early music scores as well as modifications to two robust binarization approaches to take into account bleedthrough and the information available from the registration process determine that although the information from registration itself often makes little difference in recognition performance, other modifications to binarizations for correcting bleedthrough can yield dramatic increases in OMR results.
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