Fuzzy Center Weighted Hybrid Filtering Techniques for Denoising of Medical Images
نویسندگان
چکیده
Noise removal is one of the pre-processing tasks in several medical image processing techniques. Many researchers work on different types of filters used to remove different types of noises from medical images. This paper proposes some fuzzy center weighted hybrid filtering techniques, FCWH3F, GFCWHF, TFCWHF and ATFCWHF, for the simultaneous removal of Gaussian and speckle noise from medical images, by topological approach. The quality of the enhanced images is measured by the statistical quantity measures: Root Mean Square Error (RMSE) and Peak Signal-to-Noise Ratio (PSNR). AMS classification: 60G35
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