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An introduction to digital image processing

Wayne Niblack
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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.

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Citations
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Proceedings ArticleDOI

Discrete CRF Based Combination Framework for Document Image Binarization

TL;DR: A CRF based framework to explore the combination capabilities of this model by combining discrete outputs from several well known binarization algorithms.

Segmentation of the White Matter from the Brain fMRI Images

Rakesh Kumar, +1 more
TL;DR: A solution for automatic segmentation of the brain fMRI images is presented which contains three steps which are pre-processing the raw images, threshold estimation using an Otsu's algorithm and finally performing the segmentation by binarization of the images based on the calculated threshold value.
Dissertation

Development of algorithms and methods for three-dimensional image analysis and biomedical applications

TL;DR: This thesis is to present approaches for effective and efficient three-dimensional image analysis with special emphasis on porous media analysis and the results of an in vivo study on the risk of fracture in osteoporotic subjects is reported.
Proceedings ArticleDOI

A Vein Based Biometric Experiment and Some New Developments

TL;DR: A normalized image of the hand veins is processed by the Gaussian filtering and median filtering, in order to remove certain amount of speckle noise, and a coarse vein image is produced by using local dynamic threshold segmentation NiBlack algorithm.
Book ChapterDOI

Interpretation, Evaluation and the Semantic Gap ... What if We Were on a Side-Track?

TL;DR: This work aims at showing that classical evaluation methods are not necessarily well suited for interpretation problems, or, at least, that they introduce a strong bias, not necessarily visible at first sight, and that new ways of comparing methods and measuring performance are necessary.
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