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László Nyúl: Fuzzy techniques for image segmentation |
| Fuzzy set theory and fuzzy logic allow to formally deal with ambiguity and imperfection that is often present in real-life image analysis problems. In this lecture, first, we briefly overview the fundamental basics of fuzzy sets and fuzzy logic. Then, we revisit the most frequently used segmentation techiques (such as thresholding and clustering) and look at ways of extending the classical algorithms to use fuzzy notions. In the last part of the lecture, we shall introduce the idea and the theory of fuzzy connectedness segmentation, discuss several variants and algorithmical issues. | |
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