搜索资源列表
11Canny11
- canny算子用于检测边缘， canny算子用于检测边缘 -canny operator for edge detection, canny operator for edge detection
CannyEdgeDetect
- 在vc环境下，利用canny算子对二维图片进行边缘检测，显示检测的结果。-in vc environment, the use of canny operator of two-dimensional pictures for edge detection, shows the results.
Canny
- 用ＣＡＮＮＡＹ算子对图象进行边缘提取，初学者有一定参考价值-With CANNAY operator of image edge extraction, beginners have a certain reference value
sobel
- sobel算子是一种边缘检测算子，在图像处理中应比较广泛。-sobel edge detection operator is an operator, in image processing should be more extensive.
MATLAB
- 1.图像反转 2.灰度线性变换 3.非线性变换 4.直方图均衡化 5.线性平滑滤波器 6.中值滤波器 8.梯度算子检测边缘 9.LOG算子检测边缘 10.Canny算子检测边缘 11.边界跟踪（bwtraceboundary函数） -Image reversal. Grayscale linear transform 3. Nonlinear transformation 4. Histogram equalization 5 linear smoothi
edge-detection-Sobel-operator
- 边缘检测Sobel算子，基于Open CV.-Edge detection——Sobel operator，Based on Open CV.
Canny
- 用canny算子提取边缘，matlab程序-With a canny operator edge extraction, matlab program. . . . . . . . . . . . . . .
The-image-processing
- 用matlab提取图像的骨架 参看边缘检测技术、闭合边界技术和轮廓提取方面的资料 用canny算子检测得到的边界图见附图，还需要进行边界的修补然后提取轮廓 根据你的要求再自己加些东西进去吧 -Matlab was used to extract the skeleton of the image See the edge detection technology, a closed boundary contour extraction and information tec
EdgeFinal7
- 边缘检测VC++代码，Roberts，Sobel，Prewitt，Canny算子代码-Edge detection VC++ code
The-Comparative-Study
- ：图像边缘检测一直以来都是图像处理与分析领域的研究热点。这里介绍了几种经典的边缘提取算法及 其原理，对各种方法的优缺点进行了分析，并通过试验对不同算子边缘检测结果进行了详细的精度分析与比较， 为边缘检测算子的选择提供了一种较好的参考。-Abstract：Image edge detection is always study focus in the field of image processing an d analysis．In the paper ， several clas
Lab-Chap17
- 在DSP中，利用Sobel算子对输入图像进行边缘检测-In DSP, using Sobel operator to detect the edge of the input image
2
- matlab 中很实用的源代码2：中值滤波器、用Sobel算子和拉普拉斯对图像锐化，梯度算子检测边缘-Practical source code of matlab
digital-imaging-prossing
- 边缘检测 分别用sobel和laplacian算子来进行 -digital imaging prossing
yijiesuanzi
- 图像处理种常用的一阶微分算子，主要实现图像的边缘检测和提取。 -Image processing is a kind of commonly used first order differential operator, mainly to achieve the image edge detection and extraction.