Algorithm-template

关于基于Kruppa方程的摄像机自标定方法的两篇论文，相对于传统的标校方法，是一种新的相机自标定技术(About Kruppa equation based camera self-calibration method of two papers, as opposed to the traditional Calibration Method is a new camera self-calibration technique)

说明：  图像凭借代码，捕获摄像头进行图像拼接。利用柱面投影的方式进行投影，然后对图像进行拼接。(image stitching program)

通过高通滤波器实现对图像的锐化处理，能去除不需要的模糊轮廓而加强边缘的对比度。(Image sharpening to achieve through a high-pass filter, and enhance the contrast edges blurred outline can remove unwanted.)

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.)

仿射变换来实现旋转 (线性变换)，平移 (向量加)，缩放操作 (线性变换)(Affine transformations are implemented by rotation (linear transformation), translation (vector addition), scaling operation (linear transformation))

利用MATLAB自带的两幅RGB彩色图像根据对图像互相关性的分析进行图像配准。(Using two RGB color images MATLAB, image registration is performed based on the analysis of image crosstalk.)

指纹识别预处理，预处理包括图像增强，图像细化，寻找奇异点，细节检测(Preprocessing of fingerprint identification)

说明：  用于图像去噪处理Tikhonov模型，仅供用于学习参考(Tikhonov model for image denoising)

Gray Level Edge Thinning Method Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.

基于C#上的EMGUCV编写的SIFT算法的代码，自己修改匹配库的文件图片即可，支持显示SIFT的关键点(EMGUCV C# based on SIFT algorithm written in code, make changes to the document image to match the library, support the display of the key points SIFT)