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Proceedings Paper

Contour And Object Extraction From Image Data
Author(s): Helmut Kazmierczak
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Paper Abstract

Automatic or interactive image processing with the aim to detect, localize and classify objects in images is a very important task for automation and inspection in biomedical, industrial, remote sensing and military applications. One can distinguish several levels of complexity: The detection or tracking of objects with high contrast, fixed shape, variable shape after selection by an operator, or objects in general, the classification of objects into categories, and the separation of objects from an image. This paper describes some of the techniques developed for general and special applications and demonstrates some results.

Paper Details

Date Published: 25 February 1978
PDF: 8 pages
Proc. SPIE 0130, Automation and Inspection Applications of Image Processing Techniques, (25 February 1978); doi: 10.1117/12.956027
Show Author Affiliations
Helmut Kazmierczak, Research Institute for Information Processing and Pattern Recognition FIM/FGAN (Federal Republic Germany)


Published in SPIE Proceedings Vol. 0130:
Automation and Inspection Applications of Image Processing Techniques

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