Comparison methods of noise elimination for pregnancy image processing

Information fetal development in the womb can be seen through a scanning process with ultrasonography technology. The resulting image of the process of two-dimensional ultrasonography has not been able to provide complete information. This paper describes several necessary processes to make the image of the ultrasonography can be identified precisely and accurately to provide information needed by pregnant women. The process of digitizing and compress image will generate noise. The noise will affect the value of the feature vector of images. Therefore necessary several efforts to eliminate noise. Noise removal process performed through the filtering processes. This paper describes the comparison of the results of the elimination of noise using several filtering methods. The filtering methods that used consist of filter of median, mean, gaussian, low pass and high pass. The results show the median filter by windows size of 3×3 with speckle noise give the best performance with the smallest MSE of 0.000241.