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Size: 19215 |
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Description: 颜色渐变进度条 颜色渐变进度条 颜色渐变进度条-color gradient colors of the progress of the gradual progress of the color gradient colors progress of the grad ual progress of the color gradient colors progress of the gradual progress of color
Platform: |
Size: 1990651 |
Author: 阿达 |
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Description: E:\\Study\\VB\\Code\\StayTop.zip
Platform: |
Size: 19528 |
Author: 于镭 |
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Description: // 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
Platform: |
Size: 54607 |
Author: 王学金 |
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Description: 图像的仿射变换，共包括4个文件，全都是matlab文件，分别为affine.m,grad.m,wrap.m,paremetric.m：，对于图像仿射变换以及图像的超分辨率重构非常有帮助。-image affine transformation, including a total of four documents, and all of Matlab documents, affine.m respectively, grad.m, wrap.m, paremetric.m :, for the affine transformation and the image of the super-resolution image reconstruction have been very helpful.
Platform: |
Size: 2388 |
Author: shiaiye |
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Description: canny 算法
void CreatGauss(double sigma, double **pdKernel, int *pnWidowSize)
void GaussianSmooth(SIZE sz, LPBYTE pGray, LPBYTE pResult, double sigma)
void Grad(SIZE sz, LPBYTE pGray, int *pGradX, int *pGradY, int *pMag)
void NonmaxSuppress(int *pMag, int *pGradX, int *pGradY, SIZE sz, LPBYTE pNSRst)
void EstimateThreshold(int *pMag, SIZE sz, int *pThrHigh, int *pThrLow, LPBYTE pGray,
double dRatHigh, double dRatLow)
void Hysteresis(int *pMag, SIZE sz, double dRatLow, double dRatHigh, LPBYTE pResult)
void TraceEdge(int y, int x, int nThrLow, LPBYTE pResult, int *pMag, SIZE sz)
void Canny(LPBYTE pGray, SIZE sz, double sigma, double dRatLow,
double dRatHigh, LPBYTE pResult)
Platform: |
Size: 9045 |
Author: 穆阿军 |
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Description: 彩色梯度检测，根据冈萨雷斯的“数字图像处理”编写的
Platform: |
Size: 23456 |
Author: turgunjany@163.com |
Hits:
Description: 颜色渐变进度条 颜色渐变进度条 颜色渐变进度条-color gradient colors of the progress of the gradual progress of the color gradient colors progress of the grad ual progress of the color gradient colors progress of the gradual progress of color
Platform: |
Size: 1990656 |
Author: 阿达 |
Hits:
Description: E:\Study\VB\Code\StayTop.zip
Platform: |
Size: 19456 |
Author: |
Hits:
Description: // 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
Platform: |
Size: 54272 |
Author: 王学金 |
Hits:
Description: 图像的仿射变换，共包括4个文件，全都是matlab文件，分别为affine.m,grad.m,wrap.m,paremetric.m：，对于图像仿射变换以及图像的超分辨率重构非常有帮助。-image affine transformation, including a total of four documents, and all of Matlab documents, affine.m respectively, grad.m, wrap.m, paremetric.m :, for the affine transformation and the image of the super-resolution image reconstruction have been very helpful.
Platform: |
Size: 2048 |
Author: shiaiye |
Hits:
Description: canny 算法
void CreatGauss(double sigma, double **pdKernel, int *pnWidowSize)
void GaussianSmooth(SIZE sz, LPBYTE pGray, LPBYTE pResult, double sigma)
void Grad(SIZE sz, LPBYTE pGray, int *pGradX, int *pGradY, int *pMag)
void NonmaxSuppress(int *pMag, int *pGradX, int *pGradY, SIZE sz, LPBYTE pNSRst)
void EstimateThreshold(int *pMag, SIZE sz, int *pThrHigh, int *pThrLow, LPBYTE pGray,
double dRatHigh, double dRatLow)
void Hysteresis(int *pMag, SIZE sz, double dRatLow, double dRatHigh, LPBYTE pResult)
void TraceEdge(int y, int x, int nThrLow, LPBYTE pResult, int *pMag, SIZE sz)
void Canny(LPBYTE pGray, SIZE sz, double sigma, double dRatLow,
double dRatHigh, LPBYTE pResult)
-canny algorithm void CreatGauss (double sigma, double** pdKernel, int* pnWidowSize) void GaussianSmooth (SIZE sz, LPBYTE pGray, LPBYTE pResult, double sigma) void Grad (SIZE sz, LPBYTE pGray, int* pGradX, int* pGradY, int* pMag) void NonmaxSuppress (int* pMag, int* pGradX, int* pGradY, SIZE sz, LPBYTE pNSRst) void EstimateThreshold (int* pMag, SIZE sz, int* pThrHigh, int* pThrLow, LPBYTE pGray, double dRatHigh, double dRatLow ) void Hysteresis (int* pMag, SIZE sz, double dRatLow, double dRatHigh, LPBYTE pResult) void TraceEdge (int y, int x, int nThrLow, LPBYTE pResult, int* pMag, SIZE sz) void Canny (LPBYTE pGray, SIZE sz , double sigma, double dRatLow, double dRatHigh, LPBYTE pResult)
Platform: |
Size: 9216 |
Author: 穆阿军 |
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Description: 这是图象处理的VC++代码,用于实现图象的梯度锐化,供需要的朋友使用.-This is the image processing VC++ Code, for the realization of the gradient image sharpening for the needs of our friends use.
Platform: |
Size: 48128 |
Author: goodgirl |
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Description: 此算法采用matlab7.0环境下编写的代码，用于求解线性规划问题中非约束条件下的最优解问题。-This algorithm uses matlab7.0 environment code written for solving linear programming problems under the conditions of the Central African constrained optimal solution problem.
Platform: |
Size: 1024 |
Author: 喻琴燕 |
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Description: Helpful for Grad students in order to learn Real Time Scheduling algorithms
Platform: |
Size: 144384 |
Author: Ali |
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Description: 求RGB 的梯度值以及梯度方向
to obtain gradient magnitude and orientation of an RGB image-to obtain gradient magnitude and orientation of an RGB image
Platform: |
Size: 1024 |
Author: Jerry |
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Description: CADKEY 3D软件插件,主要用于鞋摸具2D放样程序.-CADKEY 3D software plug-ins, mainly for shoes touch with 2D lofting process.
Platform: |
Size: 2048 |
Author: 王小虾 |
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Description: This program is converter angle from grad, minutes and seconds to radians or decimal grad
Platform: |
Size: 2048 |
Author: levayqwe |
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Description: 计算梯度向量Grad U和圆饼的移动规则:将所有的力都正因分解，分解成x轴方向和y轴方向的力，整个问题就简单化了，通过分别求出x轴方向和y轴方向的力之和，就可以知道该圆饼将要移动的轨迹，而x轴方向和y轴方向的合力方向应该就是该圆饼的梯度向量的方向。而所有圆饼的梯度向量就组成了Grad U-Because of all the forces are decomposed into the x-axis direction and the y-axis direction of the force, the whole problem simplistic, were obtained by x-axis direction and the y-axis direction of the force of and to know that the pie track to be moved, and x-axis direction and the y-axis direction of the force should be the vector of the pie the direction of the gradient. All round cake on the formation of the gradient vector Grad U
Platform: |
Size: 1024 |
Author: jerry |
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Description: 非线性规划问题中无约束问题的grad算法的MATLAB代码-Unconstrained nonlinear programming problem in question grad algorithm MATLAB code
Platform: |
Size: 1024 |
Author: 聂 |
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