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The image processing handbook

John C. Russ
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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"

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Book ChapterDOI

Motion detection and tracking for an AIBO robot using camera motion compensation and kalman filtering

TL;DR: The aim of this paper is to propose an algorithm for real-time movement analysis and tracking for an AIBO robot that uses motion compensation for having a stabilized background, where the movement is detected, and Kalman Filtering for a robust tracking of the moving objects.
Journal ArticleDOI

Fiber-image Analysis Part I: Fiber-image Enhancement

TL;DR: The adaptation of image-processing techniques for enhancing fiber images, including background-leveling, valley-mapping and watershed segmentation, boundary extraction, and skeletonization, are adapted.
Journal ArticleDOI

Quantitative dispersion evaluation of carbon nanotubes using a new analysis protocol

TL;DR: In this paper, a new protocol is proposed for quantitatively characterizing the dispersion state of carbon nanotubes (CNTs) embedded in a composite, which will allow CNT-filled composites to be designed and tailored in more systematic manner.

A New Method for Image Contrast Enhancement Based on Automatic Specification of Local Histograms

Iyad F. Jafar, +1 more
TL;DR: A new local enhancement method referred as Automatic Local Histogram Specification (ALHS) is proposed, which is fully automatic and provides an analytic solution for the output histogram as a function of the mean brightness of the block.
Journal ArticleDOI

Level Crossings Obstacle Detection System Using Stereo Cameras

TL;DR: A new obstacle detection system that utilizes stereo cameras and image processing technology that is more effective than a single camera system because it measures the three-dimensional shape of obstacles on crossings.