Janah, N.Z. and Baharudin, B. (2009) Mixed impulse fuzzy filter based on MAD, ROAD, and genetic algorithms. In: UNSPECIFIED.
Full text not available from this repository.Abstract
In this paper, we propose a genetic fuzzy image filtering based on rank-ordered absolute differences (ROAD) and median of the absolute deviations from the median (MAD). The proposed method consists of three components, including fuzzy noise detection system, fuzzy switching scheme filtering, and fuzzy parameters optimization using genetic algorithms (GA) to perform efficient and effective noise removal. Our idea is to utilize MAD and ROAD as measures of noise probability of a pixel. Fuzzy inference system is used to justify the degree of which a pixel can be categorized as noisy. Based on the fuzzy inference result, the fuzzy switching scheme that adopts median filter as the main estimator is applied to the filtering. The GA training aims to find the best parameters for the fuzzy sets in the fuzzy noise detection. By the experimental results, the proposed method has successfully removed mixed impulse noise in low to medium probabilities, while keeping the uncorrupted pixels less affected by the median filtering. It also surpasses the other methods, either classical or soft computingbased approaches to impulse noise removal, in MAE and PSNR evaluations. © 2009 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 2; Conference of International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009 ; Conference Date: 4 December 2009 Through 7 December 2009; Conference Code:79459 |
Uncontrolled Keywords: | Absolute deviations; Absolute difference; Fuzzy inference systems; Fuzzy parameter; Genetic-fuzzy; Image filtering; Median filter; Median filtering; Noise detection; Noise removal; Switching scheme; Three component, Fuzzy inference; Fuzzy sets; Genetic algorithms; Impulse noise; Pattern recognition; Pixels; Probability; Roads and streets; Soft computing, Fuzzy filters |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:48 |
Last Modified: | 09 Nov 2023 15:48 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/608 |