Abstract
A new definition of fuzzy entropy of interval-valued fuzzy sets is proposed and applied to the image thresholding segmentation. A fuzzy parameter is determined according the histogram of image. The image is represented by an interval-valued fuzzy set through selecting an appropriate primary membership function. Then a new method of image thresholding segmentation based on fuzzy entropy of interval-valued fuzzy sets is proposed. Numerical examples show the rationality and practicality of the new method in threshloding segmentation of images with noises.
| Original language | English |
|---|---|
| Pages (from-to) | 788-790 |
| Number of pages | 3 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 42 |
| Issue number | 5 |
| State | Published - May 2010 |
Keywords
- Fuzzy factor
- Interval-valued fuzzy sets
- Noise
- Thresholding segmentation
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