Open AccessFuzzy Based Adaptive Anisotropic Diffusion Despeckling Filter
Author(s) -
Mr. Prashant G. Bannulmath*,
Raviraj H. Havaldar
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7100.129219
Subject(s) - anisotropic diffusion , speckle noise , artificial intelligence , speckle pattern , computer vision , filter (signal processing) , computer science , fuzzy logic , diffusion , ultrasound , noise (video) , image quality , adaptive filter , pattern recognition (psychology) , image (mathematics) , mathematics , radiology , algorithm , medicine , physics , thermodynamics
Echocardiography is an ultrasound of the heart for the assessment of cardiac structure and function. Images obtained from the ultrasound suffer from a speckle Noise. Speckle is an inherent multiplicative noise which affects the visual perception by discriminating the fine details in the echocardiography. Speckle removal is important step to improve the visual quality of the echocardiography for better diagnosis. Anisotropic diffusion is one of the popular techniques to despeckle the ultrasound image in recent times. In this paper, we propose a fuzzy based adaptive anisotropic diffusion despeckling filter to despeckle echocardiography ultrasound image. The results show that fuzzy diffusion when combined with adaptive anisotropic diffusion filter gives better performance compared with existing despeckling filters