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中南大学数字图像处理上机实验指导书及参考答案，全部由本人编写，在MATLAB 6.5上运行通过。包括图像变换及频域滤波，空间域图像增强，图像边缘检测及参考图片，比网上流传的好的多，是学习图像处理的基础。-Zhongnan University of digital image processing on the experimental guide and reference book answers all prepared by me, MATLAB 6.5 to run through.
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图像处理程序基本算法实现，基于MFC，实现了包括图像类型转换、几何变换、空域和频域滤波、图像分割和轮廓提取等功能，适合初学者-Basic image processing algorithm, based on the MFC, including the image type to achieve the conversion, geometric transformation, spatial and frequency domain filtering, image segmentatio
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首先介绍了图像中噪声的产生及与图像信号相关的噪声的分类，然后分别讨论了用于图象平滑去噪的空间域平滑处理：高斯滤波，超值像素滤波、中值滤波，和频率域平滑处理：理想低通滤波和Butterworth低通滤波处理。继而介绍了各种处理方法的程序实现，并对各种方法的去噪性能进行了比较。-this program introduce the generation ofimage noise and associated noise classification with the image signal ,
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图像平滑处理的方法多种多样,有邻域平均、
空间低通滤波、多图像平均、中值滤波、改进的梯度倒数加权法等几种现有的空域,以及须域图像平滑葬法等。-Image Smoothing variety of treatment methods, there is an average neighborhood, spatial low-pass filtering, multi-image average, median filtering, to improve the gradient of the
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基于Gabor变换的图像纹理识别。
提出了一种改进的Gabor变换的图像纹理增强算法，将空域的纹理图像变换到联合空间频率域并将联合空间
频率域的能量分布作为掌纹的特征，Gobar滤波器在频域内对子块其主方向上频率能量分布进行滤波，特征向量进行了匹配
识别，增强特征纹线信息并对核心区域进行多方向空间频率能量滤波合成，同时也对滤波算法进行了优化，有效地减少了运
算量。-Gabor transform based image texture recognition. An improv
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spatial filter for spatial domain filtering
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数字图像处理 空间/频率域滤波 霍夫变换 骨架细化法 膨胀与腐蚀-Digital image processing, spatial/frequency domain filtering Hough transform matrix expansion and corrosion thinning France
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包括图像变换增强、灰度变换增强、直方图变换增强、空间域滤波增强、频域增强等-Including image transformation enhanced gray-scale transformation enhanced, histogram transformation enhanced, enhanced spatial domain filtering, frequency domain to enhance and so on
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问题是高切滤波或低通滤波，如果采用硬件实现，速度最快，但是现在计算机速度这么快，硬件实现起来相对麻烦，成本高，且灵活性性差，
软件实现相对方便多了，具体体的操作步骤如下（频率域）
先对数据作正FFT,再对变换后的频域数据乘以滤波因子，滤波因子的选择有理想高通、巴特沃斯高通、指数高通、梯形高通，一般选择梯形高通滤波因子，具体原因你可从数字信号处理的书上找到，，接下来将数据再作逆FFT就是了，还有就是在空间域作滤波，这里有一个带同滤波的程序的程序，你可参考一下，（将低切参数设为零就是
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matlab6.5 图形图像处理的源程序 包括空域频域滤波等图像增强和很多图像变换的程序-matlab6.5 source graphic image processing, including spatial filtering, frequency domain image enhancement and a lot of image transform process
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各种的图像处理函数，图像的灰度变换，图像的正交变换，空域滤波，频域滤波，以及特效滤波，直接可用无需修改。-Variety of image processing functions, image gray level transformation, image orthogonal transform, spatial filtering, frequency domain filtering, and special effects filters, can be used directly
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11年最新的图像滤波综述，并提出了统一的图像处理框架，空域处理的最好结果-The overview of the latest image filtering in 2011, and propose a unified framework of image filtering. It is the best performance in the spatial domain
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空间域内的图像增强，包括均值滤波，线性滤波，倒数加权滤波，digital TV_new 模型去噪的主函数等-Matlab code for image enhancement in spatial domain，Including the mean filtering, linear filtering, the reciprocal of the weighted filter, the digital TV_new model denoising main function
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matlab codes for spatial domain filtering
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Median filter replaces the intensity value in each pixel by the local median taken over a local n x m processing window where is a local m x n window around the pixel (x,y) in the image g (to be processed), and MED is the median value taken over the
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图像增强技术 直方图增强 几种空间域滤波相应的matlab代码-Several spatial domain filtering technology histogram of image enhancement corresponding matlab code
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All images and pictures contain spatial frequencies. Most of us are familiar with some type of frequency such as the 60-cycle, 110-volt electricity in our homes. The voltage varies in time as a sinusoid, and the sinusoid completes a full cycle 60 tim
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数字图像处理，空间域滤波实验，有gui程序-Digital image processing, spatial domain filtering experiment with gui program
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OPENCV中空域滤波去噪函数Blur、boxFilter、MediaBlur和GaussianBlur等函数的使用方法；空域锐化函数Sobel、Laplacian等函数的使用方法(The method of using the spatial domain filtering de-noising function in OPENCV;)
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The reason for doing the filtering in the frequency domain is generally because it is computationally faster to perform two 2D Fourier transforms and a filter multiply than to perform a convolution in the image (spatial) domain. This is particularly
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