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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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Proceedings ArticleDOI

Binarising camera images for OCR

TL;DR: A binarisation method designed specifically for OCR of low quality camera images: background surface thresholding or BST, which produces considerably fewer OCR errors than Niblack's local average method while also being more runtime efficient.
Journal ArticleDOI

Perception of image quality in direct digital radiography after application of various image treatment filters for detectability of dental disease

A Wenzel, +1 more
TL;DR: Dentists' perception of the quality of digitally captured radiographs is evaluated as the majority of dentists preferred a treated image to the original version, and image treatment possibilities should be offered in digital radiography.

Visualisation of uncertainty using the HSI colour model : computations with colours

TL;DR: Two GIS methods for visualisation of uncertainty associated with spatial prediction of continuous and categorical variables based on the Hue-Saturation-Intensity (HSI) colour model and calculations with colours using the colour mixture (CM) concept are described.
Proceedings ArticleDOI

Image Binarization for End-to-End Text Understanding in Natural Images

TL;DR: The main finding is the fact that image binarization methods combined with additional filtering of generated connected components and off-the-shelf OCR engines can achieve state-of- the-art performance for end-to-end text understanding in natural images.
Journal ArticleDOI

Micro crack detection of multi‐crystalline silicon solar wafer using machine vision techniques

TL;DR: In this paper, a near infrared (NIR) imaging system was used to capture images of interior micro cracks and a region growing flaw detection algorithm was then developed to extract invisible micro cracks from the captured images.
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