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给予稀疏编码的原理将10幅自然图像进行系数分解成为图像基。(Given to the principle of sparse coding will be 10 coefficients of natural images into separate image-based.)

自然图像的梯度分布为重尾分布，超拉普拉斯分布，本代码通过概率统计画出梯度分布的曲线(The heavy-tailed distribution of gradients in natural scenes have proven effective priors for a range of problems such as denoising, deblurring and super-resolution.These distributions are well modeled by a hyper-Laplacian)

对于图像图形处理，基于先验形状、窄带法的CV模型的分割方法，有举例说明，效果明显。(For image and graphics processing, segmentation method based on a priori shape, Narrow Band CV model, there are illustrated, the effect is obvious.)

灰度图像二值化比较经典的算法，包括otsu方法和局部阈值法。(Gray image binarization more classic algorithms, including methods and local otsu threshold.)

计算图像的几何不变矩—Hu矩，以及图像的相似度，在vc下实现。(Calculate the geometric image invariant moments-Hu moments, as well as the similarity of the image, achieved under vc.)

此实例已经过测试，大家拿来即可使用，无须配置！ 两个功能：一个是用程序实现下载网络图片至本地，另一个是自动生成该图片的缩略图

运用susan算法进行角点检测，并在图中显示出来(Application susan corner detection algorithm and displayed in the drawing)

说明：  图像处理所涉及的256转灰度，二值化等等，每个部分都是独立可执行的工程文件，很方面的代码复用(256 involved in image processing turn gray, binary, etc., are independent of each part of the project executable file, it' s code reuse)

说明：  基于压缩感知理论的目标跟踪算法，实现对可视目标的稳健跟踪(Target tracking algorithm based on compressed sensing theory)

基于图象灰度变换、直方图均衡、伪彩色增强的增强算法(Based on the image gray level transformation, histogram equalization, pseudo-color enhancement of the enhancement algorithm)