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图形图象处理之边缘检测
- 这也是图形与图象处理中方面的---边缘检测；包括：Roberts边缘算子，Sobel边缘检测算子，Kirsch边缘检测算子，拉普拉斯算子，高斯拉普拉斯算子。-graphics and image processing -- the edge detection; : Roberts edge operator, Sobel edge detection operator, Kirsch edge detection operator, Laplacian, Gaussian Laplace op
边缘检测程序
- 该程序主要包含了图像边缘检测的集中常用的方法，如sobel, Ccanny, kirsch等等的源代码，希望能对大家有所帮助dene-the program mainly includes the Edge Detection concentration commonly used methods, such as segmentation, Ccanny. "The source code, etc., we hope to help Dene
VC_Sobel_Kirsch
- 基于VC的SOBEL和Kirsch边缘检测算子的实现，可自行添加相关算子。-based VC SOBEL and Kirsch edge detection operator, which could be added to the relevant operator.
SobelKirsch边缘检测
- Sobel/Kirsch边缘检测算法VC下可视化实现-Sobel / Kirsch edge detection algorithm VC Visual Realization
Sobel-Kirsch
- Sobel和Kirsch的边缘检测算法-Sobel Edge Detection Algorithm
Kirsch
- 对输入的图象用Kirsch算子进行边缘检测,参数K用来调整边缘的多少
EdgeContour
- VC数字图像处理典型算法及实现,完整的源码,主要算法有:Robert 算子,Sobel 算子,Prewitt 算子,Kirsch 算子,Gauss-Laplace 算子实现边缘检测 Hough变换,轮廓提取,轮廓跟踪-VC typical digital image processing algorithm and the realization of the complete source code, the main algorithm are: Robert operator,
imageview
- 图象处理程序，提供了图象直方图均衡，robert,sobel,prewitt,kirsch,gauss等方法的边缘检测运算，中值滤波，二维FFT变换和DCT变换，图象的反转，旋转等一些基本的图象模板变换和点变换的功能。目前只处理256*256的图象-Image processing procedures, provided the image histogram equalization, robert, sobel, prewitt, kirsch, gauss edge detection
eagedetectandfigureoperate
- 图像边缘与轮廓运算包括 // RobertDIB() - robert边缘检测运算 // SobelDIB() - sobel边缘检测运算 // PrewittDIB() - prewitt边缘检测运算 // KirschDIB() - kirsch边缘检测运算 // GaussDIB() - gauss边缘检测运算 // HoughDIB() - 利用Hough变换检测平行直线 // ContourDIB() - 轮廓提取 // Trace
EdgeContour
- 数字图像处理中的基本边缘检测算法的实现，包括Robert、Sobel、Prewitt、Kirsch等边缘检测算子的实现，还包括用Hough变换检测直线。-Digital image processing in the basic edge detection algorithm, including Robert, Sobel, Prewitt, Kirsch edge detection operator such as the realization, but also a straight
112213
- 本文首先就传统的边缘检测算子（即一阶算子 Roberts 算子、Sobel 算子、Prewit 算子、二阶算子 Kirsch 算子、Robinson 算子和 LOG 算子）和新兴的边缘检测算子（即 Canny 算子和小波边缘检测方法）的思想和性质进行了理论和探讨，同时给 出了这些边缘检测算子的实验结果，提出了其中的不足。-In this paper, the conventional edge detection operator (that is, the first-order op
FCK
- 快速KIRSCH算子，进行边缘检测，，对图像处理意义重大-KIRSCH fast operator for edge detection, image processing is significant for
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
EdgeContour
- 边缘检测包括：Roberts边缘算子，Sobel边缘检测算子，Kirsch边缘检测算子，拉普拉斯算子，高斯拉普拉斯算子。霍夫变换，种子填充，轮廓跟踪和轮廓提取。-Edge detection, including: Roberts edge operator, Sobel edge detection operator, Kirsch edge detection operator, Laplacian, Laplacian of Gaussian. Hough transform, seed
edgedetect
- 基于遗传算法的图像边缘检测算法，与Robert算子、bobel算子、prewitt算子、kirsch算子、gauss－laplace算子的结果进行了对比。-Based on genetic algorithm for image edge detection algorithm, with Robert operator, bobel operator, prewitt operator, kirsch operator, gauss-laplace operator of the result
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
kirsch
- 边缘检测算子 kirsch算子 matlab源码-kirsch matlab
Kirsch
- 自适应Kirsch边缘检测算法.caj 自适应Kirsch边缘检测算法.caj-Adaptive Kirsch edge detection algorithm. Caj
kirsch
- kirsch 边缘检测。本文利用经典边缘检测模板算子8个方向模板之间的内在联系，提出了一种快速kirsch算法。-kirsch edge detection. This paper template using classical edge detection operators intrinsic link between eight directions templates, kirsch, a fast algorithm.
Kirsch
- 用python语言实现对图像进行Kirsch八个方向的边缘检测，得到边缘图像。(Edge detection is carried out in eight directions of Kirsch to get edge image.)