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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
pG
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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
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canny检测器是很有效的边缘检测器，该函数可以实现对目标图像的边缘提取。该方法总结如下：1.图像使用带有指定标准差的高斯滤波器来平滑，以此减少噪声；2.在每一点计算局部梯度和边缘方向；3.第二步中确定的边缘点会导致梯度幅度图像中出现脊，然后追踪所有脊的顶部，并将所有不再脊顶部的像素设置为0；4.执行边缘链接-canny detector is very effective edge detector, this function can be achieved on the target im
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Gradient information serves several purposes. It can relate
the structure of objects in an image, identify features of interest
for recognition/classification directly or provide the basis of further
processing for various computer vision
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针对灰度图像，在多尺度上做小波变换，根据变换后的梯度幅值和梯度方向，提取图像的边缘信息-For the gray image, to do the multi-scale wavelet transform, according to the transformed gradient magnitude and gradient direction of the image edge information
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Canny算子边缘检测图像，先进行高斯滤波，计算梯度幅值和方向，非极大值抑制，双阈值检测和连接边缘。-Canny edge detection operator image, first the Gauss filtering, calculation of gradient magnitude and direction, non-maxima suppression, dual edge threshold detection and connection.
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matlab灰度图像的边缘提取：直方图均衡化，canny算子实现一阶偏微分，计算梯度幅值和方向-matlab Gray Image Edge Extraction: histogram equalization, canny realization of first-order partial differential operator, calculate the gradient magnitude and direction
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Based on this one-dimensional analysis, the theory can be carried over to two-dimensions as long as there is an accurate approximation to calculate the derivative of a two-dimensional image. The Sobel operator performs a 2-D spatial gradient measurem
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Based on this one-dimensional analysis, the theory can be carried over to two-dimensions as long as there is an accurate approximation to calculate the derivative of a two-dimensional image. The Sobel operator performs a 2-D spatial gradient measurem
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采用Canny算法进行边缘检测。1用高斯滤波器平滑图像。2用一阶偏导的有限差分3对梯度幅度进行非极大值抑制。4用双阈值。5采用高斯平滑函数-Canny edge detection algorithm used. A smooth image with a Gaussian filter. 2 with the first-order partial derivatives of the finite difference gradient magnitude 3 on the non-maxi
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canny边缘检测算子，用高斯滤波平滑图像，再用一阶偏导的有限差分来计算梯度的幅值和方向。-canny edge detection operator, smooth image with a Gaussian filter, and then the first order partial derivatives of the finite difference to calculate the gradient magnitude and direction.
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this gradient magnitude code in matlab-this is gradient magnitude code in matlab
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1.设计一个程序，对一幅灰度图像的实现如下几何变换,1)放大为原图1.5倍 2)绕中心旋转30度(CW) 3)采用偏移量插值实现一个透视变换. 灰度差值用最近邻插值和双线性插值
2. 绘制一幅灰度图像的梯度幅度图像（三点法求梯度），针对梯度幅度图像合理的选择一个阈值（通过试验即可）将其二值化，以获得图像边缘检测图像。-(1) design a program, a grayscale image as geometric transformation, zoom 1) for 1.5 tim
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在为分割使用分水岭变换之前，通常使用梯度幅度来预处理图像。-Before using watershed transformation for segmentation,we usually use gradient magnitude to preprocessing the image.
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分水岭分割对图像特征使用梯度下降法和沿区域边界分析弱点(weak points) 来将像素分
类为区域。想像在一个有水流动的拓扑地形结构中，水在重力的引导下聚集到一个地势较低
的盆地。随着水量的增加，水将流满整个盆地直到水流溢出到另一个盆地，这样就会将一些
小盆地吞没形成大的盆地。使用局部的几何结构来形成区域(集水的盆地)，在图像领域中正
如使用一些诸如曲率或梯度强度等特征中的局部极值来将像素连接成区域。这种技术不像其
他区域分割，它几乎不需要用户定义门限，尤其适合对以不同的
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本程序适用于Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index-this code is used for Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index
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输入一幅图像，进行高斯光滑，使用索贝尔算子计算图像梯度，然后求出梯度幅值和方向-Enter an image, using Gaussian smoothing, ,using Sobel operator to calculate the image gradient, and then find the gradient magnitude and direction
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基于梯度模方差的图像质量评估，发表于IEEE Trans on Image processing 2014的最新论文的代码。-Image quality assessment based on gradient magnitude variance, published in IEEE Trans on Image processing code 2014 latest paper.
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This code is used for gradient magnitude error and gradient phase error
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计算图像梯度幅度和相位，采用opencv算法。-Calculate the gradient magnitude and phase of the image
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