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vc例子源码1
- 有大量的VC编程实例的源代码,内容涉及极其宽泛,其中有目录,如第六章:实例095-创建线性梯度,实例096-多种风格的端点,097-图形容器的应用,实例098-使用颜色矩阵设置图像中的 Alpha 值.....等等,不一一说明.-a large number of examples of the VC program source code, which relates to an extremely broad, including directory, like Chapter 6 : Ca
边缘检测与分割处理
- 程序代码说明 P0401:用Prewitt算子检测图像的边缘 P0402:用不同σ值的LoG算子检测图像的边缘 P0403:用Canny算子检测图像的边缘 P0404:图像的阈值分割 P0405:用水线阈值法分割图像 P0406:对矩阵进行四叉树分解 P0407:将图像分为文字和非文字的两个类别 P0408:形态学梯度检测二值图像的边缘 P0409:形态学实例——从PCB图像中删除所有电流线,仅保留芯片对象-code P0401 Note : Prewitt operator to detect
共轭梯度法
- 上述算法的④输出结果要求包含最优解、最优值、迭代次数,以及每次迭代的中间结果(对 而言)终止准则为H终止准则-above algorithm output requirements include optimal solution, the optimal values, the number of iteration, and each iteration of the intermediate results (in terms of) the termination criteria f
多变量寻优
- 多变量寻优的源码,包括基本算法如下:DFP法(又称变尺度法),BFS法、一阶梯度法,共扼梯度法。-multivariate optimization of the source code, including basic algorithm is as follows : DFP Act (also known as the variable scale), BFS, a ladder degrees, a total of the accused gradient method.
mulscal_edge
- 我编写的一个多尺度边缘检测实例,方法是: 1、先对图像进行3个尺度的小波变换; 2、求小波系数的模值及其梯度方向; 3、确定模的极大值,即候选边缘点; 4、通过反变换合成3个尺度的模的极值图像; -I prepared a multiscale edge detection example, the method is : 1, the first three images scale wavelet transform; 2, wavelet coefficients fo
optimation
- 最优化计算的牛顿法+共轭梯度法的MATLAB程序-Optimization Newton's Law + conjugate gradient method MATLAB
模拟图像边缘检测的C代码[原创]
- 模拟图像边缘检测的C代码[原创]先把图像放大K倍,然后检测边缘。使用Roberts梯度检测法。该方法在边缘附近有失真,产生伪边缘。-simulation Edge Detection of C code [original] first image amplification K times, and then detected edge. Use Roberts gradient detection. The method is near the edge of distortion, pse
work123
- 最优化算法,有共轭梯度、牛顿法、黄金分割、最速下降法等-optimization algorithm, a conjugate gradient, Newton, 0.618, the steepest decline in France
感知准则函数
- 感知准则函数,包括固定增量法和梯度下降法,都是模式识别中的基础算法.-perceptual function criteria, including fixed increment and the gradient method, which is pattern recognition algorithm based.
levelsetcode
- 一个比较使用的图像分割的水平集方法,是经典的几何形变模型的方法,速度函数式基于梯度的 -a comparison of the level of image segmentation method of collection is the classic geometric model of speed function-based Gradient
nnd12ls
- 反向传播算法的变形例子的CGBP,共轭梯度的轨迹算法程序。有WINDOWS界面。-back propagation of the deformation CGBP example, the conjugate gradient algorithm track procedures. A Windows interface.
gvf_model
- 图像分割中常用的主动轮廓模型的一个经典算法,GVF(梯度矢量流模型)-Segmentation commonly used active contour model of a classical algorithm, gradient vector flow (gradient vector model)
Cresorse
- 高斯平滑,灰度均衡,拉普拉斯锐化(边缘检测),亮度增减,梯度锐化,图像平移,图像旋转,维纳滤波处理-Gaussian smooth, gray balance, Laplacian sharpening (edge detection), the brightness changes, gradient sharpening, image shifting, image rotation, Wiener filter
Conjugateexamples
- 实现共轭梯度法的实例,该算法是一种优化算法,其具体优越性相信用者自知!-achieve conjugate gradient method example, the algorithm is an optimization algorithm, the specific advantages of knowing who to believe!
bp2
- 基于梯度下降的BP算法,可以调整学习率可动量因子.-based on the gradient descent algorithm BP, the learning rate can be adjusted momentum factor.
CANC
- 估计位场数据局部趋势的简单程序 利用线性回归法估计局部梯度依据数据离散,估计伴随误差-local trend data the simple procedure using linear regression method to estimate local gradient based on discrete data, With the estimated error
gradien_searching
- 在最优化问题中,常用需求取代价函数的最小值,该程序实现了最速梯度求最小的功能-in optimization problems, the demand to replace the commonly used function of the minimum price. the program achieved the steepest gradient for the smallest functional
surfacenormals
- shapeletsurf.m :通过表面法向量重建三维表面; frankotchellappa.m:用Frankot and Chellappa的算法重建可积性三维表面; grad2slanttilt.m:根据梯度值求取slant 和tilt角; slanttilt2grad.m :根据slant 和tilt角度求三维表面的梯度。 详尽的可见压缩文件中的说明-shapeletsurf.m : France Vector surface reconstruction of 3D s
tiduruihua
- 用VC++编的图象梯度锐化程序,必须是灰度图哟!附有测试图片,不错的程序.-VC series of the gradient image sharpening procedures must be grayscale yo! Tests with pictures, good procedures.
reply_1_855734
- // 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