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2012年的压缩感知跟踪算法，修改了部分程序源码，可以运行。(2012 of compressed sensing tracking algorithm, modify some program source code, you can run.)

说明：  火灾预警系统，实现火焰的特征提取，结合SVM分类算法(Fire early warning system, to achieve the feature extraction of flame, combined with SVM classification algorithm)

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(Digital image data display matrix and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation of the methods used to enhance image contrast P0304: Histogram of homogenization P0305: analog image by Gaussian white noise and Salt and Pepper Noise impact P0306: A two-dimensional median filtering function medfilt2 of interference by salt and pepper noise image filtering P0307: using MATLAB in filter2 function affected by noise interference images mean filter P0308: Image Adaptive Weiner filtering P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: Image of high-pass filtering and mask treatment)

用matlab开发的计算给定曲面点云的，高斯和平均曲率图(Matlab calculation developed by a given surface point cloud, the Gaussian and mean curvature map)

程序可以实现BMP图片特效处理,包括浮雕效果(bmp picture)

盲去卷积复原图像的示例翻译，加入了中文标注，效果较好(deconvblind)

说明：  边缘检测是图像处理和计算机视觉中的基本问题，边缘检测的目的是标识数字图像中亮度变化明显的点。图像属性中的显著变化通常反映了属性的重要事件和变化。这些包括（i）深度上的不连续、（ii）表面方向不连续、（iii）物质属性变化和（iv）场景照明变化。边缘检测是图像处理和计算机视觉中，尤其是特征提取中的一个研究领域。 一阶:?Roberts Cross算子，Prewitt算子，Sobel算子， Kirsch算子，罗盘算子； 二阶： Marr-Hildreth，在梯度方向的二阶导数过零点，Canny算子，Laplacian算子。(Edge detection is a basic problem in image processing and computer vision. Significant changes in image attributes usually reflect significant events and changes in attributes. These include (I) discontinuities in depth, (ii) discontinuities in surface orientation, (iii) changes in material properties, and (iv) changes in scene lighting. Edge detection is a research field in image processing and computer vision, especially in feature extraction.)

图像分割经典算法GraphCut的实现代码，亲测可用。(An implementation of GraphCut Algorithm, which is a classical method in image segmentation field.)

彩色图像直方图均衡化：把一副彩色图像分成红绿蓝三个通道，对每一个通道先进行均衡化，然后再合并三个通道，得到整幅图像的直方图均衡化。(Color image histogram equalization: put a pair of color image into red, green, blue three channels, to each channel to equalization, then merge three channels, get the whole image histogram equalization.)

用AAM算法进行人脸特征点的标定，即对人脸的眼睛，眉毛，嘴巴，鼻子及脸的轮廓进行标记，此代码标记了68个特征点。(AAM algorithm for facial feature points calibration, calibration of this code is the 68 feature points, see the instance document.)