- author = "Mario Koppen and Bertram Nickolay",
- title = "Design of Image Exploring Agent using Genetic Programming",
- booktitle = "Proceedings of the 4th International Conference on Soft Computing (IIZUKA'96)",
- year = "1996",
- editor = "Takeshi Yamakawa and Gen Matsumoto",
- pages = "549--552",
- address = "Iizuka, Japan",
- month = "30 " # sep # "-5 " # oct,
- organisation = "International Fuzzy Systems Association",
- publisher = "World Scientific",
- keywords = "genetic algorithms, genetic programming, image processing, agent design, image exploring agent, image understanding, genetic optimization",
-
URL = "
http://visionic.fhg.de/ipk/publikationen/pdf/iizuka96.pdf",
-
URL = "
http://citeseer.ist.psu.edu/403202.html",
- size = "4 pages",
-
abstract = "An essential goal of image processing is the detection
of image structures like objects, object boundaries,
shapes, regions or surface defects. This goal can be
reached by a combination of detection algorithms and
localisation algorithms. Detection algorithms are able
to recognise the physical evidence of a structure
according to a given localization in the
image.
Localisation algorithms cope with the position of image structures in images. Most of them are tracking algorithms. Because of the limited recognition abilities the main goal of the foregoing detection algorithm is to enhance an image object. The image structure must be transformed into a kind of information which is suitable for the localisation algorithm.
However, in many fields of image processing this approach does not give satisfying results.
This paper introduces a new approach by replacing the conventional localisation algorithm by an image exploring agent and by adapting its functional design by means of genetic programming.",
-
notes = "
Aug 2024 https://publica.fraunhofer.de/entities/mainwork/bd7b93eb-24ed-4613-9fd2-6fc7ee833639/details",
