xiaobo53

说明：  阴影3D重建,对于人脸有效，基于yale2BDB(SFS, effective for face, based on yale 2 B database)

说明：  用MATLAB进行图形样板匹配的源程序，（开发平台MATLAB7.0）(Using MATLAB graphics to match the source model, (development platform MATLAB7.0))

router image files of c1700

实现图像的二阶巴特沃斯(Butterworth)低通、高通滤波器，高斯低通、高通滤波器(Butterworth LPF、Butterworth HPF、Gaussian LPF、Gaussian HPF)

使用特征差别提取，通过特征差别相减，以去除高斯背景(Using the characteristics of different extraction, the characteristics of different background subtraction, to remove Gauss)

matlab图像边缘边缘检测：包括小波多尺度边缘检测主程序、求纵向细节v和横行细节h的合成及模极大值、对矩阵取自适应阈值等(Matlab Edge Edge Detection : including wavelet multiscale edge detection main program. seeking details of the vertical and horizontal v h details of the synthesis and modulus maxima, the right matrix for adaptive threshold value)

说明：  图像特征提取，不变矩。hu矩。f1~f7.用于物体识别。(hu)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 (P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and salt and pepper noise P0306: 2D median filtering function medfilt2 right by Salt and Pepper image noise filtering P0307: using MATLAB functions filter2 of noise images mean filtering P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: Images of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothing P0312: use Butterworth ( Butterworth) high-pass filter for image sharpening)

基于灰度和matlab编写的图像匹配源代码，运行效果不错(Prepared based on the gray and the image matching matlab source code, run the effect of good)

求取一幅二值图像包含目标区域的最小矩形框，返回矩形框的上下左右边界，然后根据边界坐标在图上画出目标区域。(Strike the rectangle that contains the smallest rectangular target area in a binary image, return to the top and bottom rectangular box around the border, and then draw the boundary on the map coordinates of the target area.)