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Study on Algorithm of Image Processing for Medical X-ray Gastroenteric Digital Image

Author: PengKeZuo
Tutor: WeiBiao
School: Chongqing University
Course: Instrument Science and Technology
Keywords: X-ray gastrointestinal digital image system Digital Image Processing Wavelet Transform Image Denoising Algorithm
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 93
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Abstract


In modern medicine, X-ray medical imaging technology has become an indispensable means and tools of the doctor. X-ray medical image quality is good or bad, will directly affect doctors diagnose and treat the patient's condition. However, in the process to obtain the X-ray Medical Image, its image is inevitable will be mixed with all kinds of noise. The high-resolution X-ray gastrointestinal digital image is no exception. When the X-ray attenuation coefficient of the gastrointestinal lesions and normal tissues of the phase difference is very small, if the inclusions in the image noise, the physician would not be able to determine the patient's gastrointestinal lesions. Therefore, the quality of high-resolution X-ray gastrointestinal digital image is doctors accurately diagnose pathologies prerequisite. Thus, the high-resolution X-ray gastrointestinal digital image processed to reduce noise, as much as possible to reduce the adverse impact of noise on the digital image of X-ray gastrointestinal, would be to enhance or improve the high-resolution X-ray gastrointestinal digital image The quality of an effective means. The papers elaborate the structure and principles of the medical X-ray imaging systems based on the process of high-resolution X-ray imaging of the gastrointestinal digital imaging system, research analysis of noise sources and noise characteristics, pointed out that the noise can be divided into system The inherent characteristics of the random distribution of the noise and system noise two categories. By optimizing the hardware architecture, we can reduce the noise of the inherent characteristics of the system; random distribution system noise analysis, and consists mainly of salt and pepper noise and Gaussian noise. Therefore, research analysis and comparison of median filtering and Wiener filtering traditional digital image noise filter proposed Wiener filtering algorithm using adaptive median filtering algorithm and improved, this high-resolution X light gastrointestinal The digital image for image noise reduction processing, and gives the relevant experimental process analysis result. 2048 × 2048 × 12bit high-resolution X-ray gastrointestinal digital image system image noise filtering noise requirements, the paper studies and drawing on wavelet transform used in many high-resolution digital image denoising method is proposed based on coefficient classification hybrid model of wavelet domain image denoising algorithm for high-resolution X-ray gastrointestinal digital image denoising. The algorithm first expression of the scale correlation between the use of the tree structure of wavelet zero wavelet coefficients classified, and then using a mixed model approximation to the local statistical characteristics of each class, to achieve the noise reduction processing of the image in a Bayesian framework. Test simulation images and high-resolution X-ray gastrointestinal digital image, the results show that, while effectively remove noise, the algorithm is better able to maintain the details in the image, overcome median filtering and The Wiener filtering digital image noise filtering method is easy to cause a blurred image details insufficient, which provides reliable protection for doctors to accurately diagnose gastrointestinal symptoms.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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