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MATLAB中图像增强技术的实现毕业设计论文.doc

发布:2019-05-07约7.02万字共91页下载文档
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Abstract 摘要 PAGE 38 PAGE 39 摘 要 图像增强是指依据图像所存在的问题,按特定的需要突出一幅图像中的某些信息,同时,削弱或去除某些冗余信息的处理方法。其主要目的是使得处理后的图像对给定的应用比原来的图像更加有效同时可以有效的改善图像质量。图像增强技术主要包含直方图修改处理、图像平滑化处理、图像尖锐化处理和彩色处理技术等。 图像增强单纯从技术上可分成两大类:一类是频域处理法;一类是空域处理法。频域处理法的采用的是卷积定理,它利用修改图像傅立叶变换的方法实现对图像的增强处理;空域处理法则是对图像中的像素进行直接的处理,大多数是以灰度映射变换为基础的,所用的映射变换取决于增强的目的。 在本论文中,利用Matlab提供的若干函数,用于图像类型的转换。Matlab支持五种图像类型,即二值图像、索引图像、灰度图像、RGB图像和多帧图像阵列。在Matlab中要查询一个图像文件的信息,只要用imfinfo指令加上文件及其完整路径名即可。Matlab提供了两个重要的用于图像文件的读写的指令,分别是从图像文件中读取数据的imread,以及将数据写入到图像文件中的imwrite。至于多个图像的显示,则可分为两个方面:在不同的图形窗口显示不同的图像,可以用figure指令来实现;在同一个图形窗口显示多图,可以用subplot来实现。 关键字:matlab图像增强 灰度 滤波器 电子科技大学毕业论文 Abstract The image intensification is refers specificly according to needs to highlight in an image certain informations, simultaneously, weakens the information processing method which or removes certain does not need.After its main purpose is the processing image is more effective than to certain specific applications the original image.The image intensification technology mainly contains histogram revision processing, image smooth processing, image intensification processing and the colored processing technology and so on. The image intensification technology basically separable becomes two big kinds: One kind is the frequency range processing law, one kind is the air zone processing law.The frequency range processing method foundation convolutes the theorem.It uses the revision image Fourier transformation the method realization to image enhancement processing. Image of point operations, point operations will enter the image map for the output image, output image each pixel gray value only by the corresponding input pixel value decision. Nonlinear point operations correspond to non-linear mapping function, mapping, including the square of the typical functions, logarithmic functions, the interception function (window function), field-valued functions, such as multi-value quantization function. Threshold processing is the most common point of a nonlinear operat
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