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Authors
Affiliations
1 Department of Electronics, Saurastra University, Rajkot 360005, IN
2 Department of Electrical & Electronics, C U Shah Engg. College, Surendranagar, IN
Source
Digital Image Processing, Vol 2, No 9 (2010), Pagination: 337-341
Abstract
Medical imaging techniques are predominantly used in medical diagnosis and therapy. The success of this technique depends largely on the quality of images. Due to various factors images do not have appropriate contrast and are often overridden by noise, making the interpretation of the images too difficult leading to incorrect diagnosis. This will be a very important and significant contribution to the medical professional. Removing noise from the original image is still a challenging research in image processing. Generally there is no common enhancement approach for noise reduction. Several approaches have been introduced and each has its own assumption, advantages and disadvantages. The speckle noise is commonly found in the ultrasound medical images. This paper presents different filtering techniques based on Statistical methods for the removal of speckle noise in ultrasound images. The quality of the enhanced images is measured by the Statistical quantity measures: Peak Signal-to Noise Ratio (PSNR), Mean Square Error (MSE) and Correlation coefficient (COC).
Keywords
Ultrasound Image of Focal liver Lesions, Speckle Noise, Diffusion Filter, Speckle Reduction Anisotropic Diffusion Filter, PSNR, MSE, COC(β).
