An Optimal Fuzzy System for Edge Detection in Color Images Using Bacterial Foraging Algorithm
- 6 April 2016
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Fuzzy Systems
- Vol. 25 (1), 114-127
- https://doi.org/10.1109/tfuzz.2016.2551289
Abstract
This paper presents a fuzzy system for edge detection, using smallest univalue segment assimilating nucleus (USAN) principle and bacterial foraging algorithm (BFA). The proposed algorithm fuzzifies the USAN area obtained from the original image, using a USAN area histogram-based Gaussian membership function. A parametric fuzzy intensification operator (FINT) is proposed to enhance the weak edge information, which results in another fuzzy set. The fuzzy measures, i.e., fuzzy edge quality factor and sharpness factor, are defined on fuzzy sets. The BFA is used to optimize the parameters involved in the fuzzy membership function and the FINT. The fuzzy edge map is obtained using optimized parameters. The adaptive thresholding is used to defuzzify the fuzzy edge map to obtain a binary edge map. The experimental results are analyzed qualitatively and quantitatively. The quantitative measures, i.e., Pratt's figure of merit, Cohen' Kappa, Shannon's entropy, and edge strength similarity-based edge quality metric, are used. The quantitative results are statistically analyzed using t-test. The proposed algorithm outperforms many of the traditional and state-of-the-art edge detectors.Keywords
This publication has 33 references indexed in Scilit:
- Edge Strength Similarity for Image Quality AssessmentIEEE Signal Processing Letters, 2013
- Interval-valued fuzzy sets constructed from matrices: Application to edge detectionFuzzy Sets and Systems, 2009
- The Fast Multilevel Fuzzy Edge Detection of Blurry ImagesIEEE Signal Processing Letters, 2007
- Fuzzy edge detection with minimum fuzzy entropy criterionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A novel fuzzy entropy approach to image enhancement and thresholdingSignal Processing, 1999
- Quantitative design and evaluation of enhancement/thresholding edge detectorsProceedings of the IEEE, 1979
- Automatic boundary detection of the left ventricle from cineangiogramsComputers and Biomedical Research, 1972
- A definition of a nonprobabilistic entropy in the setting of fuzzy sets theoryInformation and Control, 1972
- A Coefficient of Agreement for Nominal ScalesEducational and Psychological Measurement, 1960
- A Mathematical Theory of CommunicationBell System Technical Journal, 1948