Description: 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-with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to delete all current lines, retaining only chip targets Platform: |
Size: 8192 |
Author:肖雷 |
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Description: 一个很好的进行边缘检测的matlab源代码，对于初学边缘处理的人有较大帮助-a good edge detection of Matlab source code for a novice edge with the greater help Platform: |
Size: 6144 |
Author:黄玉 |
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Description: 多种图像边缘检测与分割处理matlab版本,注解详细.以前见过类似代码,讲解不是很详细,都不只道先运行哪个代码,另外代码中的命令也不只道是起什么用途的,现在看了这个代码,豁然开朗!-variety of edge detection and image segmentation processing Matlab version, Notes detail. they have seen similar code is not explained in great detail, not only Road, which first operation code Another code, the order is not only Road with what purposes, and now read the code, melts! Platform: |
Size: 44032 |
Author:大海 |
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Description: 1．细胞边缘检测
（1） 原理：
Soble算子边缘检测---Soble微分算子是一种奇数大小（3×3）的模板下的全方向微分算子。Soble滤波器进行处理的结果，在视觉上只能感觉到该微分算子所提取
出的细节轮廓相对明显一些。
Laplacian算子边缘检测---用Laplacian二阶微分算子所提取出的细节多，说明二阶算子早对图像细节有很强的敏感性。
-1. Cell Edge Detection (1) Principle: Soble edge detection operator--- Soble differential operator is an odd size (3 × 3) of the template under the omni-directional differential operator. Soble filter processing result, the visual impression that the only differential operator out the details mentioned in the outline of a number of relatively obvious. Laplacian operator Laplacian edge detection--- with second-order differential operator referred out more details on second-order operator as early as the image details have a strong sensitivity. Platform: |
Size: 3072 |
Author:深蓝 |
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Description: 用所写算子进行边缘检测，对matlab自身图片进行分析，其中的suanzi.m是自定义的边缘检测算子-operator with written for edge detection, right Matlab own photo analysis suanzi.m which is the definition of edge detection operator Platform: |
Size: 11264 |
Author:whatman |
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Description: 细胞边缘检测，带测试图片，matlab实现，效果不错-Cell edge detection, with the test picture, matlab achieved good results Platform: |
Size: 28672 |
Author:空空空 |
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Description: 指南针边缘检测算法是当前质量最高的边缘检测方法，比CANNY算子效果还要好。具有边缘定位准确，边连续，完整的特点。程序能够得到每一个像素的边的朝向，有利于做进一步的优化应用，例如图像分割等。具体算法过程可参考斯坦福大学麦克博士发表的论文。主要思路就是以每个像素为中心，像罗盘一样转动边，一直找到两边差异最大的朝向。最后把所有的最优朝向连起来成为边缘。
代码用VC驱动，核心部分用matlab编写-Compass edge detection algorithm is currently the highest quality of edge detection methods, than CANNY operator even better results. With edge positioning accuracy, while continuous, full features. Program can be a pixel for each side towards is beneficial for further optimization of applications, such as image segmentation and so on. Specific algorithms may make reference to Stanford University Maikeboshi the published papers. Main idea is to each pixel as the center, the same rotation as the compass edge, has been to find the greatest difference between both sides of the orientation of. Finally all the best to link into the edge towards. Code using VC-driven, the core part of the preparation with matlab Platform: |
Size: 82944 |
Author:黄沛杰 |
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Description: 运行test文件，该程序用基尔希算子对图像进行边缘检测-Run the test file, the program operator with a Kirsch edge detection on image Platform: |
Size: 225280 |
Author:徐薇 |
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Description: 资料具体描述了边缘检测的方法，用matlab实现。值得一看-Material describes in details the method of edge detection, with matlab. Worth a look
Platform: |
Size: 4637696 |
Author:李强 |
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Description: edge detection with fuzzy that modify by Reza Maleki. it can delete some noise and blonder in edge detection.it is more use full than canny and other Matlab codes. Platform: |
Size: 1413120 |
Author:reza |
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Description: The best canny edge detection using image processing tool box which is the actual distributed canny edge detection with all comments and sobel algorithm also implemented for any image Platform: |
Size: 975872 |
Author:Sonal Baravkar |
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