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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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Journal ArticleDOI

Patient realignment in magnetic resonance imaging of the head: an algorithm using mathematical morphology for feature extraction.

TL;DR: A method for the accurate extraction of the corpus callosum, the cerebellum and the brain area in a sagittal scan of the head is developed by selective thresholding designed to remove the low texture content and then applying morphological techniques.
Proceedings ArticleDOI

Adaptive Image Enhancement for Fluorescence Microscopy

TL;DR: A novel image enhancement method based on adaptive local region sizes is proposed, which can correctly highlight salient objects from changing background intensity and is validated by comparison with ground truth segmentations of cell micrographs.
Proceedings ArticleDOI

An impact of grid based approach in offline handwritten Kannada word recognition

TL;DR: The experiment suggest grid based approach outperforms the standard global based approach in offline handwritten Kannada word recognition as well as popular subspace learning method, i.e. Popular sub space learning method.
Journal ArticleDOI

Restoration of geometrically aberrated images using a self-organising neural network

TL;DR: A new method is proposed in this paper to restore geometrically aberrated images based on Kohonen's model of self-organizing neural network to handle different types of aberration including distortion, field curvature and astigmatism.
Proceedings ArticleDOI

Global Binarization of Document Images Using a Neural Network

TL;DR: A new approach that combines a global thresholding method and a supervised neural network classifier is proposed to enhance scanned documents and to separate foreground and background layers.
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