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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 2009 Document Image Binarization Contest (DIBCO 2009)
TL;DR: The contest details including the evaluation measures used as well as the performance of the 43 submitted methods are described along with a short description of each method.
Journal ArticleDOI
A review of methods for automatic individual tree-crown detection and delineation from passive remote sensing
Yinghai Ke,Lindi J. Quackenbush +1 more
TL;DR: This article categorizes and evaluates methods for automatic tree-crown detection and delineation, and summarizes the commonalities of current algorithms, and the new development that can be expected in the future.
Proceedings ArticleDOI
Text localization, enhancement and binarization in multimedia documents
TL;DR: An algorithm to localize artificial text in images and videos using a measure of accumulated gradients and morphological post processing to detect the text is presented and the quality of the localized text is improved by robust multiple frame integration.
Journal ArticleDOI
Multilevel thresholding for image segmentation through a fast statistical recursive algorithm
TL;DR: A novel algorithm is proposed for segmenting an image into multiple levels using its mean and variance, making use of the fact that a number of distributions tend towards Dirac delta function, peaking at the mean, in the limiting condition of vanishing variance.
Journal ArticleDOI
Optical music recognition: state-of-the-art and open issues
Ana Rebelo,Ichiro Fujinaga,Filipe Paszkiewicz,André R. S. Marçal,Carlos Guedes,Jaime S. Cardoso +5 more
TL;DR: An overview of the literature concerning the automatic analysis of images of printed and handwritten musical scores and a reference scheme for any researcher wanting to compare new OMR algorithms against well-known ones is presented.
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Survey over image thresholding techniques and quantitative performance evaluation
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