R Graph Essentials

说明：  进行图像的特征提取，为图像拼接做准备，matlab(Feature extraction of image)

图像边缘提取，边缘整合，有效提取边缘，并进行填充。(Image edge detection, edge integration, effective edge extraction and filling.)

实现shift算法，进行精确的图像识别，可以抵抗各种旋转、平移、缩放等仿射变换的攻击(Realize shift algorithm, an accurate image recognition, you can resist all kinds of rotation, translation, scaling affine transformation attack)

含有pca和kpca算法，具有很好的在图像处理方面的应用(contain pca and kpca algorithm, is very good in image processing the application)

巴特沃斯低通滤波器的C语言实现原理以及程序，对理解滤波器原理有很好的帮助(Butterworth low-pass filter, and a program in C language implementation principle for understanding the principles of good help filter)

用VC实现Canny算子提取图像边缘，提高图像质量(Using VC realize Canny operator extracts image edge to improving image quality.)

使用直方图均衡化函数、图像调整函数和自适应直方图均衡化函数，编写用于增强索引图像对比度的程序，显示图像对比度增强效果(Using the histogram equalization function (histeq), image adjustment function (imadjust) and adaptive histogram equalization function (adapthisteq), prepared for image contrast enhancement index procedure, showing the image contrast enhancement)

车流量检测,车流量检测,车流量检测,车流量检测,(traffic flow,traffic flow,traffic flow,traffic flow)

理解频域处理与空间域处理的等效关系与步骤，掌握频域相乘与空间域循环卷积之间的对等关系，理解DFT运算中补零的效果。(Understand the equivalent relationship and steps of frequency domain processing and space domain processing, understand the reciprocal relationship between frequency domain multiplication and space domain circular convolution, and understand the effect of zero padding in DFT operation.)

人脸识别matlab源代码，应用主分量分析（PCA）实现了人脸识别。(Face recognition matlab source code, application of principal component analysis (PCA) to achieve a face recognition.)