搜索资源列表
SUSAN边缘检测的实现代码
- SUSAN边缘检测的Matlab实现代码，用于静态图象的边缘检测，效果要视具体图象来定-SUSAN Edge Detection Matlab code for static images of edge detection, the effect would depend on the specific images to determine
susan
- susan边缘检测源程序，详细介绍了该算法，效果较好
SUSAN
- SUSAN边缘检测算法的VC++实现,用于检测边缘
susan算子边缘检测
- 用SUSAN算子进行图像的边缘检测
edge-detect-algorithm-comparis
- 边缘检测算法的比较，有susan算子，log算子，prewitt算子,Comparison of edge detection algorithm, there is susan operator, log operator, prewitt operator
matlab-susan
- 图像处理中，一种新的边缘检测，特征点提取方法，算法经过测试，可以运行，对医学图像处理的人有帮助-Image processing, a new edge detection, feature point extraction method, the algorithm has been tested, you can run on the medical image processing to help the people
susanedge
- MATLAB中利用SUSAN实现边缘检测-The use of MATLAB to achieve SUSAN edge detection
susan
- 这是一个SUSAN算子边缘检测程序.平台：MATLAB7.0.-This is a SUSAN edge detection operator procedures. Platform: MATLAB7.0.
susan
- Susan边缘检测matlab源码[matlab] 算法简洁实用-Susan edge detection matlab source [matlab] simple and practical algorithm
GUISUSAN
- 边缘是图像最基本的特征，是图像分割的第一步。经典的边缘检测方法如：Roberts，Sobel，Prewitt，Kirsch，Laplace等方法，基本都是对原始图像中象素的小邻域构造边缘检测算子，进行一阶微分或二阶微分运算，求得梯度最大值或二阶导数的过零点，最后选取适当的阀值提取边界。由于这些算法涉及梯度的运算，因此均存在对噪声敏感、计算量大等缺点。在实践中，发现SUSAN算法只基于对周边象素的灰度比较，完全不涉及梯度的运算，因此其抗噪声能力很强，运算量也比较小。并将SUSAN算法用于多类图像的
susan
- 用MATLAB实现的SUSAN算子，用于图像的边缘检测-susan detect edge!
Susan
- 提供了Susan边缘检测的两段源代码和实例-This provides Susan edge detection of two source codes and an examples
susan
- 是一个基于边缘检测程序，已经成功仿真，可以借鉴！-Is based on edge detection procedure has been successfully simulation, we can draw!
susan
- 自己写的两种susan边缘检测算子。能够较好的实现弱边缘的精确检测。-Susan wrote their own edge detection operator. Better able to accurately detect the weak edge.
SUSAN
- susan边缘检测算法的实现源程序以及相关的资料论文。-susan corner detection
SUSAN
- SUSAN边缘检测,以及SUSAN滤波，边缘细化，与非极大值抑制。-edge detect based on SUSAN
susan
- susan边缘检测的源代码，供图像处理学习的童鞋参考-susan edge detection of the source code for the study of children' s shoes image processing reference
susan
- susan边缘检测，检测边缘，输入图像的处理-edge detection
1.3 图像的边缘检测
- 1.3-1 a=imread('xinglong.jpg'); a=rgb2gray(a); e=log_edge(a,0.25) 1.3-2 a=imread('lena.bmp'); e=canny_edge(a,0.25); 注：该程序要求输入的图像的长、宽应相等。 1.3-3 为1.3-2的子程序 1.3-4 im=imread('lena.bmp'); image_out = susan(im,0.25); 1.3-5 为1.3-4的子程序
code-susan image processing
- susan 边缘检测和图像滤波，实验结果(Susan edge detection and image filtering, experimental results)