Comparative study of speckle removing filters and its implementation using UTLP kit

The diagnosis of ultrasound image becomes more difficult with the presence of speckle noise. It tends to reduce the resolution and contrast of image which minimizes the diagnostic values of an ultrasound image. An important step in the analysis of medical image is to improve the quality of ultrasound image by removing speckle noise. In this paper, the performance of Gaussian filtering in despeckling the ultrasound common carotid artery image has been compared with other speckle reduction filters like Box, Convolution, Median, Mode, Nagoa, Rank value and Weymouth filter. The statistical values such as mean, standard deviation, skewness and kurtosis are used to analyze the performance of different filters with the aid of Aphelion Dev software. The filtered image has been implemented in Unified Technology Learning Platform kit which expedites the process of image. This technique will helps to improve the appearance of ultrasound image and detects the presence of abnormalities in carotid artery earlier during diagnosis.