@incollection {jaehne2007c,
	title = {Data acquisition by imaging detectors},
	year = {2007},
	pages = {1419--1436},
	publisher = {Springer},
	chapter = {24},
	abstract = {Imaging sensors convert radiative energy into an electrical signal and such sensors are available that cover the wide spectrum from gamma rays to the infrared. They accumulate an electrical signal during the exposure time and convert all the signals of an array of detectors into a time-serial analog or digital data stream. The dominate and most successful devices to perform this task are charge coupled devices (CCD). However directly addressable imaging sensors on the basis of CMOS fabrication technology are becoming more and more promising because the image acquisition, digitalization and preprocessing can be integrated on a single chip; hence yielding very fast frame rates. This chapter provides a comprehensive survey of the available imaging sensors, details the parameters that control their performance and gives practical tips to select the best camera for different imaging tasks.},
	doi = {10.1007/978-3-540-30299-5_24},
	author = {Bernd J{\"a}hne},
	editor = {C. Tropea and J. Foss and A. Yarin}
}
@incollection {jaehne2007d,
	title = {Data analysis},
	year = {2007},
	pages = {1437--1491},
	publisher = {Springer},
	chapter = {25},
	abstract = {From the beginning of science, visual observation has played a major role. At that time, the only way to document the results of an experiment was by verbal description and manual drawings. The next major step was the invention of photography more than one and a half centuries ago, which enabled experimental results to be documented objectively. In experimental fluid mechanics, flow visualization techniques gave direct insight into complex flows, but it was very difficult and time consuming to extract quantitative measurements from photographs and films. Nowadays, we are in the middle of a second revolution sparked by the rapid progress in both photonics and computer technology. Sensitive solid-state cameras are available that acquire digital image data, and standard personal computers and workstations have become powerful enough to process these data. These technologies are now available to any scientist or engineer. As a consequence, image processing has expanded and continues to expand rapidly from a few specialized applications into a standard scientific tool. This chapter gives a brief presentation of some of the most important general image processing techniques that are required to process image data in experimental fluid mechanics. The second section (Sect. 25.2) deals with motion analysis. The most important methods are introduced and classified according to the fundamental principles, assumptions and approximations upon which they are based.},
	doi = {10.1007/978-3-540-30299-5_25},
	author = {Bernd J{\"a}hne and Michael Klar and Markus Jehle},
	editor = {C. Tropea and J. Foss and A. Yarin}
}
