Applied-Information Technology with Method of Digital Image Noise Processing

Abstract

Digital image processing is a kind of technology which employs a certain algorithm to realize image processing through computer algorithm. The powerful capacity of computing and graphics displaying function of Matlab makes image processing becomes more simple and intuitive. This paper introduces the basic knowledge of dealing with noise in digital image, expounds the neighborhood average method, median filtering in detail, and low pass filtering and other typical of eliminating noise method , and at the same time analyzes and compares the characteristics of several typical methods by use of the software Matlab.

Research on Ultrasonic Image Recognition Based on Optimization Immune Algorithm

“…With the development of information technology, researchers combine digital image processing technology, information technology, and medical diagnosis knowledge. Firstly, the digital image processing technology is used to process the medical image, and then, the doctor's knowledge of pathological diagnosis is used to make scientific judgment, which can improve the accuracy and reliability of diagnosis [1][2][3]. The classification of medical images is to find the law of sample distribution from known training samples and to apply this rule to the identification of new samples.…”