Abstract—The morphological Mean Filter method is used to restore image corrupted by high-density impulse noise. A new method for de-noising is developed for MR (Magnetic Resonance) images which have Rician noise. This method is an enhancement of the Morphological Mean Filter (MMF). In this method, first Grey level Co-occurrence Matrix (GLCM) method is applied to noisy images and then the MMF method is applied to remove noise from the image. Experimental results show that the Proposed method effectively removes the noise as compared to the MMF method.
Index Terms—GLCM, impulse noise, morphological mean filter, noise removal, Rician noise.
Jyoti Choudhary and Alka Choudhary are with J. C. Bose University of Science and Technology, YMCA, Faridabad, Haryana, India (e-mail: jyoti.attri11@gmail.com, alka.attri@gmail.com).
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Cite:Jyoti Choudhary and Alka Choudhary, "Enhancement in Morphological Mean Filter for Image Denoising Using GLCM Algorithm," International Journal of Computer Theory and Engineering vol. 13, no. 4, pp. 134-137, 2021.
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