基于锐化滤波的医学图像增强处理研究
本文选题:医学图像 切入点:锐化滤波 出处:《西安科技大学》2017年硕士论文 论文类型:学位论文
【摘要】:21世纪,人们的生活因为科技的进步,已经发生了巨大的改变,有关键问题,早已成为了人们关注的焦点,如果医生在病灶的潜伏期,通过细微的改变,能准确的发现病灶并能合病情得到及时控制,对患者的治疗是非常有益的。本文介绍了医学图像处理技术的背景和研究意义及有关医学图像增强技术的方法、原理、相关函数表达式,并对其优劣性进行了比较分析,借助MATLAB得到求反,灰度调整、对数变换、Gamma(伽马)变换、直方图均衡化、伪彩色处理及锐化滤波等操作后的医学图像.比较了 Prewitt算子、Sobel算子及拉普拉斯算子处理后的医学图像.重点是对基于拉普拉斯算子得到的医学图像进行改进后的研究.用原始图像加上去经锐化滤波器处理后的图像,分析了改进后图像在增强图像边缘方面的效果.本文在MATLAB的GUI界面下设计了图像的预处理系统,与同类系统相比,其运行界面高洁济,旨在检验改进后的医学图像增强效果,该系统饫文件操作、基本增强、工具等模块.简述了系统模块的设计思路及功能.主要倍助反映灰度级与像素点之间关系的直方图,运行预设系统比较了改进前后的医学图像分别在经过图像求反、对数交换、Gamma(伽马)变换、中值滤波处理后,图像的增强效果,根据直方图中特定范围内像素点的改变,更为的解释了图像边缘增强效果,所设计的系统可对图像进行旋转、剪切等操作,有助于医生对图像的判读。最后对图像增强处理的设计不足之处,提出了改进的方向。本文设计的医学图像增强处理系统运行流畅,,在实际应用中能够减少医生诊断病情的时间,经过对改进前后图像直方图的比较,基于锐化滤波改进后医学图像的 质量得到了很大的改善,图像的边缘和轮廓电得到增强,所设计的系统将医学图像处理的相关技术融于同一界面,缩短了医学分析医学图像的时间,提高了工作效率,降低了对图像处理操作的难度。
[Abstract]:In twenty-first Century, the people's life because of the progress of science and technology, has undergone tremendous changes, some key problems, has become the focus of attention, if the doctor in the lesions of the incubation period, through subtle changes, can accurately find the focus and to get timely disease control, is very beneficial for the treatment of patients. This paper introduces the method of medical image enhancement processing technology background and significance of the research and related medical image principle, correlation function, and analyses the advantages and disadvantages of comparative analysis, obtained by MATLAB, gray scale, logarithmic transform, Gamma (gamma) transform, histogram equalization, image pseudo color processing and the sharpening filter after the operation. Compared with the Prewitt operator, Sobel operator, Laplasse operator and medical image processing. The focus is on the medical image based on the Laplasse operator Study on the improved. Using the original image added by image processing sharpening filter, improved image enhancement in image edge effect. This paper designed the image pre-processing system in the MATLAB GUI interface, compared with the same system, the operation interface of Gao Jie economy, to enhance the effect of improved medical image inspection after, the system will enhance, file operations, tools and other modules. The design idea and the function of the system module. The main times help to reflect the relationship between the gray level and pixel histogram, run the default system were compared before and after the improvement of medical image log exchange after image inversion, respectively, Gamma (gamma) after the transformation, median filtering, image enhancement, according to the pixel histogram change within the specific range, more explanation of the effect of image edge enhancement, the system can be designed to image Rotation, shear etc, can help the doctor to image interpretation. Finally enhance the design deficiencies of the image processing, the direction of improvement. The design of the medical image enhancement processing system running smoothly, can reduce doctors to diagnose the disease at the time of practical application, through the image histogram comparison before and after improvement. The quality of medical image sharpening filter improved greatly improved based on the edge of the image and profile of electricity has been enhanced, the system related technology of medical image processing in the same interface, shorten the medical medical image analysis time, improve work efficiency, reduce the difficulty of image processing operations.
【学位授予单位】:西安科技大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:R318;TP391.41
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