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bianyuan
- 应用各种算法进行边缘检测，比较后个有优劣-application for edge detection algorithm, compared with 000 pros
bianyuan-image
- LOG滤波器提取边缘；用形态学方法提取骨架线；由明暗度提取外形信息；-LOG filter extraction edge; Morphological skeleton extraction methods; By extracting contour shading degrees;
bianyuan
- 多种图像边缘检测与分割处理bianyuanjiance
bianyuan
- 用于图像爱能够处理的边缘检测，在此程序中有例子进行检测
bianyuan
- C#下实现的多种边缘检测程序。包括Robert算子、Sobel算子、prewitt算子等
bianyuan
- 边缘检测图像，通过对视视频图像的处理来检测输入图像的轮廓。
bianyuan
- 数字图像处理，实现边缘检测余图像分析，功能非常前大，很完美哦，还有界面
bianyuan
- 提供图像的边缘检测，包括roberts算子，sobel算子，拉普拉斯算子等C语言源码。-Providing image edge detection, including roberts operator, sobel operator, Laplacian, etc. C language source code.
bianyuan.rar
- 通过高斯函数导数检测图像边缘，实质是方向可调小波变换检测图像边缘。,Gaussian function through derivative edge detection in real terms is Steerable Wavelet image edge detection.
bianyuan
- 用C++语言描述的图像的边缘检测的程序边缘检测函数名称：EdgeDetection()-With C++ Language to describe the edge detection of image edge detection procedure function name: EdgeDetection ()
bianyuan
- 这是基于图像处理，用MATLAB软件编程，提取边缘图像的程序-This is based on image processing, using MATLAB software, the program extracts the edge image
bianyuan
- 个人的经典收藏图像处理的边缘检测算法里面有roberts,sobel,拉普拉斯,prewitt,robinson,kirsch,smoothed等几种算法-Personal collection of classic image processing algorithm for edge detection there roberts, sobel, laplace, prewitt, robinson, kirsch, smoothed several algorithms, such as
biyuanjiance
- 基于opencv的图像边缘检测,可供初学者，opencv爱好者参考学习-opencv tu xiang bianyuan jiance
bianyuan
- 圆变大 ，并且颜色淡化tyr meryeryery。-you!
xtx-bianyuan
- 形态学图像处理，可以正确运行，详细情况见程序内说明。-Morphological image processing, can be run properly, the details see the program is indicated.
bianyuan
- 此代码的对象用于BMP图像，其目的是为了实现对图像的边缘跟踪-boundary trace
ImageProcess
- 图像边缘信息提取，使用算子为拉普拉斯算子，程序中有样图。-bianyuan message
bianyuan
- 原始图像为三位编织复合材料二维截面图，对原始图像进行前期处理.-Original image is three dimensional braided composite sections of the original image pre-processing.
xiaobo_gaijin
- 改进的小波边缘检测算法，在去噪和其他方便有所改进。解压后既是源程序-bianyuan
bianyuan
- 边缘检测，此功能用于图像的边缘检测，功能效果明显-Edge detection, this function is used to image edge detection, functional effect is obvious