DelphiExcelSDK

用MATLAB处理数字图像，对图像进行梯度处理，绘制图像的梯度图。(MATLAB deal with digital image, gradient image processing, rendering the image gradient map.)

图象的冲击滤波程序,用于图象增强,用MATLAB语言编写(image filtering impact procedures for image enhancement, using MATLAB language)

小波包在信号处理中的应用（信号时频分析、信号消噪、信号压缩）(Wavelet packet in signal processing of the application (signal frequency analysis, signal de-noising, signal compression) )

已知一图像的轮廓，计算该轮廓质心，并标注在图上(A known the outline of image, the contour centroid calculation, and marked on the map )

SCPI语言及微机控制测量仪器编程,主要介绍scpi一些具体命令，说明及其实现。(SCPI language programming and computer controlled measuring instruments)

说明：  二维、三维图像分割工具箱，采用基于matlab的标记分水岭算法(Two-dimensional and three-dimensional image segmentation toolbox, mark watershed algorithm based on MATLAB)

这是新提出来的用于图像去噪的非局部均值滤波方法, matlab程序.非常好,你试试.(this is a new proposed image denoising method--non local means filtering, matlab file. you can try!)

将2D图像转换为红蓝3D效果。程序由本人编写，算法来自论文《A novel 2D-to-3D conversion technique based on relative height depth cue》by Yong Ju Jung等。(2D-to-3D Conversion. The codes are written by myself and according to the article "A novel 2D-to-3D conversion technique based on relative height depth cue" by Yong Ju Jung.)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为OMP算法，对256*256的lena图处理，比较原图和OMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and OMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using OMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

实现一个高精度指针仪表读数自动识别系统．用数码摄像头采集仪表的图像，然后利用数字图像处理技术识别刻度和指针，根据指针和刻度的相对位置计算指针读数值．使用条件霍夫变换（Constrained HOUGH Transfer）和中心投影分析法实现刻度的全自动识别，采用快速中心投影法进行指针检测与识别，识别速度达到68ms．实验结果表明该方法比传统方法速度快、精度高，系统读数平均误差仅为0．016％(To achieve a high precision automatic identification system pointer meter reading. Instrument with a digital camera capture images, then using digital image processing technology to identify scale and pointer, pointer and scale according to the relative position of the pointer readings calculated. Use Hough transform (Constrained HOUGH Transfer) and center projection analysis method to achieve scale automatic identification method using fast center projection target detection and recognition, recognition speed of 68ms. Experimental results show that faster than traditional methods, high accuracy, the system average error of only 0.016 of reading)