在现代控制系统中，医学影像技术[1]是医学临床诊断和治疗的重要手段。而

In modern control systems, medical imaging technology [1] is an important means of medical clinical diagnosis and treatment. Medical ultrasound imaging technology, as one of the four medical imaging technologies recognized by the modern medical community [2], has received more and more attention and development since it was put into application in the late 1950s, especially with modern computers The development and popularization of technology and Computer Aided Detection (CAD) [3] are gradually popularized and applied in clinical diagnosis, and medical ultrasound imaging technology is gradually becoming mature. Compared with other imaging technologies, it has the advantages of convenient and flexible operation, good real-time performance, no invasive injury, no ionizing radiation, and low price. Therefore, it is generally welcomed by medical workers and patient groups. <br>In the application of medical ultrasound imaging, a clear ultrasound image is a prerequisite for doctors to effectively extract features, identify lesions, and make a correct diagnosis. However, the actual ultrasound images generally have many problems such as high noise, low signal-to-noise ratio and low contrast. In particular, excessive noise seriously reduces the quality of the image, directly increases the difficulty for medical workers to accurately distinguish between the lesion site and the benign tissue area, and also makes the automatic identification of image lesions in the computer-aided diagnosis system, Segmentation, analysis and feature extraction are more difficult. Therefore, it is necessary to perform noise suppression filtering on the image. Therefore, study the characteristics of noise, and on this basis, further study how to adopt appropriate algorithms to suppress this noise while taking into account the preservation and enhancement of image detail features. This is for smooth development such as image recognition, edge detection, segmentation and positioning. The follow-up work has very important practical significance. <br>In today's society, information technology continues to develop rapidly, and various computer-based applications are emerging. At present, the computer-aided diagnosis system in the field of ultrasound image processing can not only perform rapid imaging and real-time display of images (provided that high-quality images), but also realize automatic research and judgment, segmentation, and lesion location of images, giving reference diagnosis or diagnosis. information. This greatly reduces the workload of medical workers, avoids errors caused by subjective factors, and improves the accuracy of diagnosis

In modern control system, medical imaging technology is an important means of medical clinical diagnosis and treatment. As one of the four medical imaging technologies recognized in modern medicine, medical ultrasound imaging technology has been more and more valued and developed since it was put into application in the late 1950s, especially with the popularization of modern computer technology and the gradual application of computer-aided diagnostics (Computer AidEd Detection, CAD), medical ultrasound imaging technology is becoming more and more mature. Compared with other imaging technology, it has the advantages of convenient and flexible operation, good real-time, no invasive damage, no ionizing radiation, low price, etc., so it has been generally welcomed by medical workers and patients.<br>In the application of medical ultrasound imaging, clear ultrasound image is the prerequisite for doctors to extract characteristics effectively, identify lesions and make correct diagnosis. However, the actual ultrasonic images generally have many noise, low signal-to-noise ratio and low contrast. In particular, too much noise seriously reduces the quality of the image, directly enhances the difficulty of medical workers to make a precise distinction between the lesions and benign tissue areas, and makes it more difficult to automatically identify, segment, analyze and extract the image lesions in computer-aided diagnostic systems. Therefore, it is necessary to control the image noise suppression filtering. Therefore, to study the characteristics of noise, and on this basis, further study how to adopt appropriate algorithms to suppress this noise at the same time, taking into account the preservation and enhancement of image detail features, which is of great practical significance for the smooth implementation of follow-up work such as image recognition, edge detection, segmentation and positioning.<br>In today's society, information technology is developing rapidly, and all kinds of computer-based applications are on the rise. At present, the computer-aided diagnostic system in the field of ultrasonic image processing can not only make rapid imaging and real-time display of images (provided for high-quality images), but also enable automatic evaluation, segmentation and lesions of images, and give reference diagnostic or diagnostic information. This greatly reduces the workload of medical workers, avoids errors caused by subjective factors, and improves the accuracy of diagnosis.

In modern control system, medical image technology is an important means of clinical diagnosis and treatment. As one of the four recognized medical imaging technologies in modern medicine, medical ultrasound imaging technology has been paid more and more attention and developed since it was put into use in the late 1950s, especially with the development and popularization of modern computer technology and computer aided detection, With the application of CAD in clinical diagnosis, medical ultrasound imaging technology is becoming more and more mature. Compared with other imaging technologies, it has the advantages of convenient operation, good real-time performance, no invasion injury, no ionizing radiation, and low price, so it has been widely welcomed by medical workers and patients.<br>In the application of medical ultrasound image, clear ultrasound image is the premise for doctors to effectively extract features, identify lesions and make correct diagnosis. However, there are many problems in the actual ultrasound image, such as many noises, low SNR and low contrast. In particular, too much noise seriously reduces the quality of the image, directly improves the difficulty for medical workers to make accurate distinction between the focus and benign tissue area, and makes the automatic recognition, segmentation, analysis and feature extraction of the image focus more difficult in the computer-aided diagnosis system. Therefore, it is necessary to denoise the image. Therefore, it is of great practical significance to study the characteristics of noise, and on this basis, to further study how to adopt appropriate algorithms to suppress this kind of noise while taking into account the preservation and enhancement of image details, which is for the smooth development of subsequent work such as image recognition, edge detection, segmentation and positioning.<br>Nowadays, with the rapid development of information technology, all kinds of computer-based applications are in the ascendant. At present, the computer-aided diagnosis system in the field of ultrasonic image processing can not only perform fast imaging and real-time display on the image (provided that the high-quality image) but also realize the automatic judgment, segmentation, focus location of the image, and provide reference diagnosis or diagnostic information. This greatly reduces the workload of medical workers, avoids errors caused by subjective factors, and improves the accuracy of diagnosis