Comparison methods of edge detection for USG images

Abstract

This study discussed on a comparison of three techniques for edge detection of ultrasonography (USG) image. Ultrasound images are used to provide information about fetal development in the womb. The image generated by the two-dimensional ultrasound has not been able to provide complete information. Therefore, in order get the form of fetus on ultrasound image can be clearly identified with the necessary process of image analysis that can detect the boundaries of objects edges, so that it can differentiate between one object with another object on the ultrasound image. Comparison results between the edge detection methods namely Sobel, Prewitt and Canny are expected obtaining the best technique. It can be used in the ultrasound image segmentation process to obtain the best shape of the object of USG image. Based on the available data it can be concluded that the best edge detection methods is produced by Sobel method. The results show that Sobel Edge Detection has the best accuracy compared to other methods with a threshold value of 0.03. (Based on the research, Canny and Prewitt have the same value. Therefore, MSE of Sobel is lower than Canny and Prewitt. 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.