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// Canny算子 void Canny(LPBYTE pGray, SIZE sz, double sigma, double dRatLow, double dRatHigh, LPBYTE pResult) { //经过高斯滤波后的图像 LPBYTE pGaussSmooth pGaussSmooth = new unsigned char[sz.cx*sz.cy] //x方向导数的指针 int *pGradX pGradX = new int[sz.cx*sz.cy] //y方向 int *pGradY pGradY = new int[sz.cx*sz.cy] //梯度的幅度 int *pGradMag pGradMag = new int[sz.cx*sz.cy] //对原图高斯滤波 GaussianSmooth(sz,pGray,pGaussSmooth,sigma) //计算方向导数和梯度的幅度 Grad(sz,pGaussSmooth,pGradX,pGradY,pGradMag) //应用非最大抑制 NonmaxSuppress(pGradMag,pGradX,pGradY,sz,pResult) //应用Hysteresis,找到所有边界 Hysteresis(pGradMag,sz,dRatLow,dRatHigh,pResult) delete[] pGradX pGradX = NULL delete[] pGradY pGradY = NULL -/ / Canny operator void Canny (LPBYTE pGray. SIZE sz, double sigma, double dRatLow. double dRatHigh. LPBYTE pResult) (/ / after Gaussian filtering of images LPBYTE pGaussS mooth unsigned pGaussSmooth = new char [sz.cx * sz.cy] / / x direction derivative indicators pGradX pGradX int * = new int [ sz.cx * sz.cy] / / int * y direction pGradY pGradY = new int [sz.cx * sz.cy] / / gradient magnitude int * pGradMag pGradMag = new int [sz.cx * sz.cy] / / maximum Gaussian filter to GaussianSmo oth (sz, pGray, pGaussSmooth. sigma) / / calculate derivative and the gradient range Grad (sz. pGaussSmooth, pGradX, pGradY. pGradMag) / / non-application of the biggest inhibition NonmaxSuppress (pGradMa g, pGradX, pGradY, sz, pResult) / / Application Hysteresis, find all border Hysteresis (pGradMag, sz, dRa
Date : 2008-10-13 Size : 53.33kb User : 王学金

// Canny算子 void Canny(LPBYTE pGray, SIZE sz, double sigma, double dRatLow, double dRatHigh, LPBYTE pResult) { //经过高斯滤波后的图像 LPBYTE pGaussSmooth pGaussSmooth = new unsigned char[sz.cx*sz.cy] //x方向导数的指针 int *pGradX pGradX = new int[sz.cx*sz.cy] //y方向 int *pGradY pGradY = new int[sz.cx*sz.cy] //梯度的幅度 int *pGradMag pGradMag = new int[sz.cx*sz.cy] //对原图高斯滤波 GaussianSmooth(sz,pGray,pGaussSmooth,sigma) //计算方向导数和梯度的幅度 Grad(sz,pGaussSmooth,pGradX,pGradY,pGradMag) //应用非最大抑制 NonmaxSuppress(pGradMag,pGradX,pGradY,sz,pResult) //应用Hysteresis,找到所有边界 Hysteresis(pGradMag,sz,dRatLow,dRatHigh,pResult) delete[] pGradX pGradX = NULL delete[] pGradY pGradY = NULL -//Canny operator void Canny (LPBYTE pGray. SIZE sz, double sigma, double dRatLow. double dRatHigh. LPBYTE pResult) (//after Gaussian filtering of images LPBYTE pGaussS mooth unsigned pGaussSmooth = new char [sz.cx* sz.cy]// x direction derivative indicators pGradX pGradX int* = new int [ sz.cx* sz.cy]// int* y direction pGradY pGradY = new int [sz.cx* sz.cy]// gradient magnitude int* pGradMag pGradMag = new int [sz.cx* sz.cy]// maximum Gaussian filter to GaussianSmo oth (sz, pGray, pGaussSmooth. sigma)// calculate derivative and the gradient range Grad (sz. pGaussSmooth, pGradX, pGradY. pGradMag)// non-application of the biggest inhibition NonmaxSuppress (pGradMa g, pGradX, pGradY, sz, pResult)// Application Hysteresis, find all border Hysteresis (pGradMag, sz, dRa
Date : 2025-12-29 Size : 53kb User : 王学金

对15阶高斯导函数给出各自的峰值功率,从图中可以看出他们的峰值功率的区别!-15-order derivative of Gaussian function are given their peak power, can be seen from the graph of their difference between peak power!
Date : 2025-12-29 Size : 1kb User : 娜娜

高斯一节导数生成的脉冲串和频谱函数,有图形绘制-Gaussian derivative to generate a pulse string and spectral function, there Rendering
Date : 2025-12-29 Size : 1kb User : summer
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