Abstract
The concept of an object is central to the solution approach in section 1.5. Indeed, it is decisive for the nature of industrial image processing since its purpose is always to gather information about objects existing in the real world represented in image scenes. In the introductory example in section 1.6 and throughout the chapter on positioning we have frequently used segmentation methods, i. e. algorithms which isolate objects from the scene. In these sections we have simply assumed that such methods exist and achieve the desired effects. This chapter will now present the most important segmentation methods among the variety of such algorithms that have developed over time.
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© 1999 Springer-Verlag Berlin Heidelberg
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Demant, C., Streicher-Abel, B., Waszkewitz, P. (1999). Overview: Segmentation. In: Industrial Image Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58550-0_4
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DOI: https://doi.org/10.1007/978-3-642-58550-0_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-63642-4
Online ISBN: 978-3-642-58550-0
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