Open AccessBook
The image processing handbook
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
Journal ArticleDOI
Machine learning approach for automated coal characterization using scanned electron microscopic images
Alpana,Subrajeet Mohapatra +1 more
TL;DR: An automated image analysis approach towards the characterization of given different grades of coal samples using image analysis technique, pattern recognition, machine learning, etc to achieve better result in terms of accuracy and less computational time.
Journal ArticleDOI
Robust Elevator Button Recognition in the Presence of Partial Occlusion and Clutter by Specular Reflections
TL;DR: A robust button recognition algorithm is proposed, which is modularized into feature extraction, initial recognition, and postrefinement modules, and extensively tested in a robotic platform to verify effectiveness, robustness, and real-time performance.
Journal ArticleDOI
Real-time raindrop detection based on cellular neural networks for ADAS
Fadi Al Machot,Mouhannad Ali,Ahmad Haj Mosa,Christopher Schwarzlmüller,Markus Gutmann,Kyandoghere Kyamakya +5 more
TL;DR: This paper presents an approach for real-time raindrops detection which is based on cellular neural networks (CNN) and support vector machines (SVM) and proves the possibility of transforming the support vectors into CNN templates.
Journal ArticleDOI
Spatiotemporal mapping of the motility of the isolated chicken caecum.
TL;DR: The caecal contractile activity of the chicken was studied using single caeca that had been cannulated at their proximal and distal ends, and in paired caeca, maintained in situ on excised segments of gut that were cannulate at the colonic and small intestinal ends to characterise longitudinal and circular contractile patterns.
Journal ArticleDOI
Estimating local strain due to comminution in experimental cataclastic textures
J. Hadizadeh,Walter K Johnson +1 more
TL;DR: In this article, the authors measured particle size distribution and fractal dimension (D) values on different digital images of each sample and found that over the range of applied axial strain the detectable effects of comminution (particle-size reduction through fracture) on PSD were limited to the population of particles ≥ 7 μm.