` DOI: 10.14738/jbemi.55.5283 Publication Date: 18 th October 2018 URL: http://dx.doi.org/10.14738/jbemi.55.5283 VOLUME 5 ISSUE 5 Improvement of Sonographic Appearance Using HAT-TOP Methods Yousif Mohamed Y. Abdallah Department of Radiological Science and Medical Imaging, Faculty of Applied Medical Science, Majmaah University, Majmaah, Saudi Arabia; y.yousif@mu.edu.sa ABSTRACT Ultrasound consider of one of the most important tool in analysis of fetus development. In ultrasound images, the recognition closely adjacent tissues is very crucial process because of the noise that affected both image quality and sharpness. This study conducted to study the fetus images improvement using HAT-TOP transform as computing choice in order to increase the diagnostic accuracy in diagnosis of neonatal diseases. Many image-processing techniques were used to improve the images including Using HAT-TOP and Blind Deconvolution Algorithm. The results of the study showed HAT-TOP was best processing filter and define the fetus precisely. Keywords: Ultrasound, image processing, MatLab, HAT-TOP technique. 1 Introduction Ultrasound images in general are complex due to data composition, which can be described in terms of speckle information. Upon visual inspection, speckle noise consists of a relatively high grey level intensity, qualitatively ranging between hyperechoic (bright) and hypoechoic (dark) domains. In addition, ultrasound images have the advantage of being non-invasive, portable, versatile, and low cost and not requiring ionizing radiations [1-2]. The filter preserves monotonic image features that fill more than half the area of the transform window. Based on Median filter have used Topological Median filter to improve conventional Median filter [3-4]. The Topological Median filters defined are outperforming conventional Median filters with 7 x 7 or larger transform windows in reducing a noise while preserving edges. On the average, there is a minimal effect on edge strength or edge location. A conventional Median filter does outperform a Topological Median filter in the reduction of the amplitude of noise [5]. Through experiments, the variance of noise passed through a Topological Median filter was found to exceed that of a conventional Median filter by a factor of about 1.25 [6]. The best techniques for processing such images are edge magnitude and edge location. Conventional Median filters reduce the variance of noise more than Topological Median filters. An adaptive two-pass Median filter to remove impulsive noise. An image contaminated by impulsive noise is represented in a two-pass Median filtering and is processed by a Median filter twice. By analyzing the spatial distribution, i.e., the error index matrix of the impulsive noise, the adaptive two-pass Median filter looks for columns containing over-corrected pixels by the standard Median filter and replaces over-corrected pixels by their original values[7-9]. The experiment that has been done shows that the adaptive filter is able to reduce the