GS_Angular_spectrum

对ecg信号进行预处理，并检测ecg的r波，并进行特征提取，并在图中进行标注(On ecg signal preprocessing and detection of r ecg wave, and feature extraction, and marked on the drawing)

快速角点检测算法，本算法针对图像中存在的线和点进行检测，算法通过matlab程序实现，结果表明具有很好的效果(Fast corner detection algorithm, the algorithm for images that exist in the line and point detection algorithm matlab program, results show that with good results)

说明：  K均值聚类算法，将模式识别方法与图像处理技术相结合，掌握利用K均值聚类算法进行图像分类的基本方法(K-means clustering algorithm, the pattern recognition method and image processing technology, to master the use of K-means clustering algorithm is the basic method of image classification)

将一张小图片影藏到大图片当中，使用半色调技术，并通过线性变换，调整两幅图像，将小图像影藏到大图像奇数行和列当中，可以调节线性函数的系数，改变影藏效果，改进后的(Will a small picture hidden to the big picture of a shadow of halftone use technology, and through the linear transformation, adjust the two images, the images hidden to big image of an odd number of rows and columns, can adjust the coefficients of the linear function, change the shadow hidden effect)

C#写的绘图板，功能还不错。实现了直线，矩形，圆形，填充矩形，填充圆形。可拖动图形位置，可改变矩形大小，可放大缩小，可输入文字，打开图片，拖动图片，可撤销。(C# to write the drawing board, features well. Implementation of linear, rectangular, circular, filled rectangle, filled circle. Can drag the graphic location, can change the rectangle size can be enlarged or reduced, can enter text, open the image, drag the image may be revoked.)

在图像去卷积算法引入先验模型的应用,主要是建立马尔可夫随机场先验模型.很大程度上改进了去卷积的效果,更多的保持了图像的边缘特征.(In image deconvolution algorithm Application of the introduction of a priori model, mainly the establishment of Markov random field a priori model. A large extent, improved the effectiveness of deconvolution, more to maintain the image of the edge feature.)

用C++实现的对数变换达到图像增强效果，代码亲测可用(Logarithmic transformation realized by C++ achieves image enhancement effect, and code pro-test is available.)

稀疏矩阵的实例，讲述如何用稀疏矩阵进行实际的编程。本例是以超市购物为实际背景。(Examples of sparse matrix)

利用有限差分和MATLAB矩阵运算直接求解二维泊松方程(Directly solving the 2D Poisson equation using finite difference and MATLAB matrix operations)

用模糊集方法进行图像增强，先对源图像做模糊化，然后在模糊平面上进行变换，最后再反模糊化，从而达到模糊集图像增强的目的。(Image enhancement using fuzzy set method, the first source image blurring, and then transform the fuzzy plane, and finally anti-blurring, so as to achieve the purpose of the fuzzy set of image enhancement.)