Computer Vision and Applications

Computer Vision and Applications

A Guide for Students and Practitioners
2000, Pages 53-84
Computer Vision and Applications

3 - Imaging Optics

https://doi.org/10.1016/B978-012379777-3/50004-2Get rights and content

Publisher Summary

This chapter discusses computer vision. Image processing always starts with image acquisition, mostly done by illuminating the scene with natural or artificial light in the visible range and capturing images with a photographic lens. The importance of proper image acquisition is ignored in many applications, at the expense of an increased effort in the processing of the images. Appropriate visualization can enhance image quality in such a manner that image processing requires fewer processing steps, becomes much faster, or is even for the first time possible. Image degradations caused by unsuitable imaging may seriously complicate image analysis or even be uncorrectable afterwards. Although most of today's camera lenses are of very good quality, they are always optimized for a particular purpose and may fail if used in other setups. In some applications an optics setup from one or two simple lenses may provide better image quality than stock lenses because the setup can be optimized exactly for that imaging problem. For these reasons, the chapter provides essential concepts of optical imaging, focusing on the geometric ray approximation, which are sufficient for most applications other than microscopic imaging. Special emphasis is placed on the description of nonparaxial optics.

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