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VC++处理图像模糊或柔化的效果示例源程序，类似Photoshop中的图像高斯模糊效果，每点击一次鼠标右键，程序为模糊一次，直到你满意为止。注意程序仅实现了模糊的功能，其它功能比如程序优化和效率方面的考虑还比较少，因此程序运行速度方面可能会欠缺一些(VC++ deal with image blur or soften the effect of sample source code, similar to Photoshop' s image Gaussian Blur effect, each click the right mouse button, the procedures for fuzzy time until you are satisfied. Note that the program is only vague functions, other functions such as process optimization and efficiency considerations is still relatively small, the speed of the program is running may lack some of the)

可实现答题卡阅卷系统中的图像倾斜矫正，采用Hough进行直线检测，并根据所定位的特征直线位置计算倾斜角度，再进行图像旋转，得到校正结果(chieve answer sheet scoring system image tilt correction, performed using Hough line detection, and calculates the inclination angle in accordance with the target characteristic linear position, then rotate the image, corrected results)

说明：  针对输入180个波束数据，通过使用抛物线插值法进行插值，最终得到720个波束的数据，用于图像显示(For 180 beam data input, 720 beam data are obtained by parabola interpolation method for image display)

说明：  经典图论，其中叙述了图论的经典算法等，如最大流、最小割等相关算法。(Classical graph theory, graph theory, which describes the classical algorithms, such as maximum flow, minimum cut, and other related algorithms.)

视网膜图像中血管的提取和检测，高斯滤波器模板匹配法提取血管，然后进行血管剔除(Retinal image of blood vessels in the extraction and detection, gaussian filter template matching method to extract the blood vessels, and blood vessels )

FISM——结构相似度，它的功能为评价图像去噪效果，值越接近1，去噪结果越好。(FISM-- structural similarity, it functions is for the evaluation of image denoising effect, closer the value is to 1, better is the denoising results.)

斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination in A Dense Feature Representation The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )

利用TMS320VC5509A为核心的DSP处理硬件,通过软件实现自适应Notch滤波和瞬时频率序列方差检测(VIRD)运算,在较低信噪比使用条件下完成对单频测距信号的可靠检测和判定(Using tms320vc5509a DSP core processing hardware, adaptive notch filter and variance of instantaneous frequency sequence detection (Vird) operation is realized by software, in low signal to noise ratio under the conditions of use complete reliable detection of single frequency ranging signal and judging)

说明：  八值图像连通区域标记，为每个连通区域分配一个唯一的标号，处理后的图像按照从左到右，从上到下的顺序获得连续的标号(Binary image connected region eight marks, for each connected region a unique label distribution deal with in accordance with the image from left to right, from top to bottom order of access to continuous labeling)

用matlab写的sift算法的全过程，用于提取特征点，是图像识别的一种好算法(The algrithm of sift)