代码

说明：  对于一些图像来说，常用的边缘检测算法有时候无法设立合适的阈值将它们的梯度较小的模糊边缘检测出来。为了解决这个问题，有两种解决方法：将图像方差标准化，拉大模糊边缘的梯度值，或通过设置sigmoid函数，将像素所在区域的信息传递到梯度值中去，对其进行调整，就能找到合适阈值，有效地将模糊边缘提取出来。本程序把这两种算法实现并与与传统算法进行了比较。(For some images, the commonly used edge detection algorithm sometimes can not be an appropriate threshold for the gradient of their smaller fuzzy edge detected. To solve this problem, there are two solutions: the image variance standardization, widening the fuzzy edge of the gradient value, or by setting the sigmoid function pixel region to disseminate the message to the gradient values to adjust, on the can find a suitable threshold, effectively extracted fuzzy edge. This procedure of these two algorithms with the traditional algorithm.)

Kalman滤波在船舶GPS定位导航系统中的应用(Application of Kalman Filter in Ship GPS Positioning and Navigation System)

实现洛伦兹系统分岔图的三种方法，最大值法，庞加莱截面法，getmax法(Three Methods to Realize Lorentz System Bifurcation Diagram)

Hu的七个不变矩在图像处理，尤其是特征提取方面是很重要的一个概念。本代码实现了图像的7个不变矩的计算和输出。( Hu s 7 moment invariants is significant in image processing,especially in feature seletcion. This code calculate them.)

开发 API人脸检测实例教程，应用程序编程源码，很好的参考资料。(Tutorial examples of the development of API face detection, application programming source code, a good reference.)

　找出图象的最佳阈值，并显示它的二值图．(find the best image threshold, and it shows the value of Figure 2.)

数字水印算法实现（matlab程序包），包含有DCT水印嵌入算法，DWT水印嵌入算法，以及水印攻击和性能测试程序。参考价值极大(digital watermarking algorithm (Matlab package), including a watermark embedded DCT algorithm, DWT algorithm embedded watermark, watermark and attack and performance testing procedures. Great value)

说明：  CS的一些重构算法包括OMP，somp,romp,SAMP，CoSaMp，GPSR等等其中还包括了小波变换，dct变换等等(compressive sensing)

说明：  本代码能实现matlab图中图，可以在figure中实现局部放大图，从而实现整体趋势和局部展示的目的。(This codes can realize the MATLAB graph, iand the codes can realize the local enlargement map in the figure, so as to achieve the overall trend and the purpose of partial display.)

测量hall 效应 2182表侧电压，2400表加电流。。。。。。。。。。。。。。。(hall measurment 2182 measure voltage 2400 measure current......................................)