| dc.description.abstract |
Ultrasound images are taken using high-frequency sound waves to produce an image with dark and light spots that spread over the object. In this case the resulting image looks blurry and the presence of spots will cause reduced information in the image. An image that has decreased in quality due to noise. Noise can be caused by physical disturbances to the acquisition device or intentionally due to improper processing. Based on these problems, a system is needed that can improve the ultrasound image by minimizing the existing noise. However, many methods have been created to improve the image by removing noise, so it is confusing for someone to use which method. Therefore, in this study, a comparison of several methods such as Gaussian filter, Median and Mean in removing noise in ultrasound images was carried out in order to know which method is better. The comparison of the three methods is based on the PSNR and MSE values. From the results of the research that has been applied, the Median filter method is superior in minimizing noise in ultrasound images with up to 60% noise than the Gaussian and Mean methods.
Keywords: Image, USG, Noise, Gaussian, Median, Mean
| en_US |
