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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

Automatic identification of Spread F using decision trees

TL;DR: A machine learning method related to decision tree was adopted to automatically identify Spread F from ionograms and results indicate that the decision tree performed well in automatic identification of Spread F on ionograms.
Journal ArticleDOI

The effectiveness of different thresholding techniques in segmenting micro CT images of porous carbonates to estimate porosity

TL;DR: A comparison between directly measured and image-derived porosities clearly exhibited that the application of different segmentation methods produced vastly different results, demonstrating the importance of the segmentation step for quantitative pore space analysis.
Proceedings ArticleDOI

Automatic licence plate recognition system

Farzin Aghdasi, +1 more
TL;DR: A machine vision system designed to recognize Botswana license plates is presented and the techniques used are: colour filtering, Niblack binarisation, blob selection, segmentation, template matching, neural networks, and Euler number.
Journal ArticleDOI

Direct decorrelation stretch technique for RGB colour composition

TL;DR: Direct Decorrelation Stretch (DDS) as mentioned in this paper is a simple method to achieve a saturation (decorrelation) stretch without coordinate transformation, which can be expressed in terms of an achromatic component and a chromatic (pure colour) component.
Journal ArticleDOI

Parameter-free based two-stage method for binarizing degraded document images

TL;DR: A two-stage parameter-free window-based method to binarize the degraded document images that is competitive when compared to the existing adaptive binarization methods and achieves better performance in precision, accuracy, and F-measure.
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