scispace - formally typeset
Open AccessBook

The image processing handbook

John C. Russ
Reads0
Chats0
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

Citations
More filters
Proceedings ArticleDOI

Automatic Defect Cluster Extraction for Semiconductor Wafers

TL;DR: A new method that allows users to select a tradeoff threshold point between the acceptable false alarm and false rejection rates to suit their applications is introduced.
Journal ArticleDOI

Real-time detection of multiple moving objects in complex image sequences

TL;DR: In this article, a real-time multistage method for detecting multiple objects moving in real scenes is presented, where a rough focus-of-attention mechanism is used to individuate areas of the input image that show remarkable differences with a realtime updated background image.
Journal ArticleDOI

Gram-staining characterisation of activated sludge filamentous bacteria by automated colour analysis.

TL;DR: An automated image analysis method has been developed for the monitoring of the Gram-staining characteristics of filamentous bacteria in activated sludge and its robustness has been assessed by repeatability tests.
Journal ArticleDOI

iDEAS: A web-based system for dry eye assessment

TL;DR: iDEAS is a web-based application which provides a fast, reliable environment for dry eye assessment, it save time for experts, diminish the inter-expert variability and can be used in both clinical and research settings.
Proceedings ArticleDOI

Processing of 3D DIC microscopy images for data visualization

TL;DR: A transformation method is developed which removes the differential appearance of DIC imager, producing data which is suitable for volume rendering, and this method is compared to an edge-enhancing approach based on a variance filter.