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首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

WAV音频的LSB信息隐藏，隐藏文件为二值图像，Matlab编程(WAV audio LSB information hiding, hidden files as binary image, Matlab programming)

基于SIFT的图像配准.最全版本。学习SIFT之必备资料。(image mosaic based on MATLAB)

计算局部形状描述符梯度方向直方图（HOG），直接输入图像即可用。(Calculate the local shape descriptors gradient orientation histogram (HOG), the input image can be used directly.)

说明：  利用matlab对多光谱遥感影像进行水体指数（ndwi）以及植被指数（ndvi）提取(Extraction of Water body Index (ndwi) and vegetation Index (ndvi) from Multispectral remote Sensing Images by matlab)

图像配准和拼接，肯定可以使用。。。harris+ransac(Image registration and stitching, they can definitely use. . .)

复杂场景中的红色交通标志牌检测与识别，结合颜色与圆形的标志牌定位，然后提取特征，最后用模板匹配的方法实现识别，内附图片和程序说明，对初学者有帮助(Red detection and recognition of traffic signs in complex scenes, the combination of colors and circular signs positioning, and feature extraction, the last with template matching methods to achieve recognition, included pictures and a description of the procedures for beginners)

多径条件下基于加权空间平滑的阵元幅相误差校正(Multipath based on weighted spatial smoothing array element amplitude and phase error correction)

增量直线拟合(incremental line fitting)算法描述多个物体(Incremental line fitting (incremental line fitting) algorithm for multiple objects described)

关于图像处理的程序，他能实现对裂缝进行自动的提取(About image processing program, he can achieve the automatic extraction of cracks)