Abstract
The use of the Hough-Transform for line recognition has started in 1962. This paper deals with the fuzzification of the Hough-Transform and its use for detection of n-dimensional parametrizable objects in noisy or distorted images. It is mainly based on [Han et. al. 1993]. In the second part of the paper we present an improved algorithm to find the relevant maxima in the parameter space which represents the searched objects, applied to lines, circles and general patterns.
| Original language | English |
|---|---|
| Title of host publication | Cybernetics and Systems '96 |
| 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
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