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The image processing handbook
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TLDR
In this paper, the acquisition and use of digital images in a wide variety of scientific fields is discussed. But the focus is on high dynamic range imaging in more than two dimensions.Abstract:
"This guide clearly explains the acquisition and use of digital images in a wide variety of scientific fields. This sixth edition features new sections on selecting a camera with resolution appropriate for use on light microscopes, on the ability of current cameras to capture raw images with high dynamic range, and on imaging in more than two dimensions. It discusses Dmax for X-ray images and combining images with different exposure settings to further extend the dynamic range. This edition also includes a new chapter on shape measurements, a review of new developments in image file searching, and a wide range of new examples and diagrams"read more
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Journal ArticleDOI
Identifying Fabric Structures with Fast Fourier Transform Techniques
TL;DR: A parallel version of the FFT for weaving has been developed that automates the very labor-intensive and therefore time-heavy and expensive process of hand-winding the fabric.
Book
Theory of the Moiré Phenomenon
TL;DR: Based on the Fourier theory the reader leads the reader through the various phenomena which occur in the superposition of repetitive layers, both in the image and in the spectral domains of the moire phenomenon.
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Handwritten numeral recognition using gradient and curvature of gray scale image
TL;DR: Three procedures, based on curvature coefficient, bi-quadratic interpolation and gradient vector interpolation, are proposed for calculating the curvature of the equi-gray scale curves of an input image to improve the accuracy of handwritten numeral recognition.
Journal ArticleDOI
Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach
TL;DR: A novel framework using a Bayesian approach for content-based phishing web page detection is presented, which takes into account textual and visual contents to measure the similarity between the protected web page and suspicious web pages.
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An ensemble classifier system for early diagnosis of acute lymphoblastic leukemia in blood microscopic images
TL;DR: This paper aims at proposing a quantitative microscopic approach toward the discrimination of lymphoblasts (malignant) from lymphocytes (normal) in stained blood smear and bone marrow samples and to assist in the development of a computer-aided screening of ALL.