Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Nonlinear fuzzy operators for image processing
Proceedings of of the IEEE winter workshop on Nonlinear digital signal processing
Computer and Robot Vision
An image enhancement technique based on the FIRE operator
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
A robust approach to image enhancement based on fuzzy logic
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
In this paper a new fuzzy control based filter called by Adaptive Caverage Fuzzy Control Filter 'ACFCF' is introduced. The aim of this filter is removing impulsive noise, smoothing Gaussian noise out while at the same time preserving edges and image details efficiently. To increase the run-time speed, the floating point operations are avoided. This filter employs the idea that each pixel is not fired uniformly by each of the fuzzy rules which are adaptively tuned. To show how efficient our filtering approach is, we perform several different test cases on image enhancement problem. From these results we may list the concluding remarks of the proposed filtering as: i) no need of floating point calculations, ii) very fast performance of the filter in compared with those of the other recently proposed filters, iii) high quality of filtering, iv) high edge preserving ability.