Proceedings ArticleDOI
Edge extraction by FIRE operators
F. Russo,Giovanni Ramponi +1 more
- pp 249-253
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TLDR
It is shown how FIRE operators can be designed in order to comply with the following two requirements: 1) extraction of edges from a noiseless image by means of the simplest possible rule-base; 2) extraction from a noisy image.Abstract:
FIRE (fuzzy inference ruled by else-action) operators are a recently proposed family of fuzzy operators for image processing. After an introduction of the generalized structure of the FIRE edge extractor, in this paper it is shown how FIRE operators can be designed in order to comply with the following two requirements: 1) extraction of edges from a noiseless image by means of the simplest possible rule-base; 2) extraction of edges from a noisy image. Some experimental results show the performances of the proposed approach. >read more
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Interval-valued fuzzy sets constructed from matrices: Application to edge detection
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Quantitative error measures for edge detection
TL;DR: A comprehensive overview of the different proposals for edge detection performance measures is made, followed by a practical comparison of the most representative measures on synthetic as well as natural edge images.
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A geometric approach to edge detection
TL;DR: The role of geometry in determining good features for edge detection and in setting parameters for functions to blend the features are examined and statistical features such as the range and standard deviation of window intensities are found to be as effective as more traditional features.
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A gravitational approach to edge detection based on triangular norms
TL;DR: The effect of the substitution of the product operation by other triangular norms in the calculation of the gravitational forces is analyzed and the new method is tested on the Berkeley Segmentation Dataset, showing to be competitive compared to the Canny method.
References
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Evidence aggregation networks for fuzzy logic inference
TL;DR: A fixed network architecture employing general fuzzy unions and intersections is proposed as a mechanism to implement fuzzy logic inference and it is shown that these networks possess desirable theoretical properties.
Proceedings ArticleDOI
A fuzzy if-then approach to edge detection
TL;DR: The empirical results show that the edge detector based on fuzzy if-then rules is generally more applicable to a wider class of images ranging from clear to very vague images.
Journal ArticleDOI
Nonlinear fuzzy operators for image processing
F. Russo,Giovanni Ramponi +1 more
TL;DR: The formal rules which describe the behavior of a ‘globally fuzzy’ technique for image processing are described and the analysis is particularized to the case of a very simple operator of this family, putting to evidence the different sources of nonlinearity which are involved.
Proceedings ArticleDOI
A user-friendly research tool for image processing with fuzzy rules
TL;DR: Key aspects of the proposed tool are user-friendliness and interactivity, which allow the user to insert and quickly to modify the fuzzy knowledge base by means of a graphical interface.