Abstract
In this paper a fuzzy method for a certain kind of pixel classification is introduced. It is the most important result of the development of an inspection system for a silk-screen printing process. The algorithm computes a fuzzy segmentation of a given image into four different types of areas which are to be checked by applying different criteria. The second part of the text deals with the optimization of the parameters involved. For this purpose some variants of genetic algorithms are tried out and compared with other probabilistic optimization methods.
| Original language | English |
|---|---|
| Title of host publication | Cybernetics and Systems '96. Austrian Society for Cybernetic Studies |
| Number of pages | 6 |
| Publication status | Published - Apr 1996 |
Fields of science
- 101 Mathematics
- 101004 Biomathematics
- 101027 Dynamical systems
- 101013 Mathematical logic
- 101028 Mathematical modelling
- 101014 Numerical mathematics
- 101020 Technical mathematics
- 101024 Probability theory
- 102001 Artificial intelligence
- 102003 Image processing
- 102009 Computer simulation
- 102019 Machine learning
- 102023 Supercomputing
- 202027 Mechatronics
- 206001 Biomedical engineering
- 206003 Medical physics
- 102035 Data science