NI-DAQ-CARD

IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS 基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法源代码 (IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS Bayesian (BAYES) threshold wavelet (WAVELET) image denoising algorithm source code)

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

ASUFIT－Matlab－全局拟合程序(ASUFIT- Matlab-fitting procedures overall)

暴强Dijkstra算法求任意两点间最短路径(matlab程序)(Dijkstra algorithm for the shortest path between any two points (matlab))

space vector pwm inverter implementation using matlab simulation

matlab 中基于互相关函数的程序，希望对各位学者有帮助！(matlab cross correlation function based on the procedure, in the hope that scholars will help you!)

采用VC++实现时钟的圆盘式显示，使用time_t time精确到秒。(using VC disc clock shown that the use time_t time precise to the second.)

利用MATLAB编程实现线性规划，利用单纯形法处理问题(Linear programming using MATLAB programming, dealing with the problem using the simplex method)

watershed animation matlab

hough直线变换，返回原图像并得出边缘检测的结果(hough transform straight, return to the original image and the outcome of edge detection)