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对二值图像联通区域进行标记,采用一次遍历模式,方便快捷。-Binary image of the region Unicom marks, the use of an ergodic model, convenient and quick.
Update : 2025-02-17 Size : 1kb Publisher : RL

Implementation Of Labeling Connected Components 用C#实现图像的连通区域标定,可选4连通,8连通-Implementation Of Labeling Connected Components The algorithm is coded in C# using unsafe so the quality and speed of the program may not be affected. The class BitmapData is used to read and process the pixels in the image. This is the specialty of C# to provide such a speed even on image processing applications. There is a set of modules that are designed to implement the algorithm. The program scans the image to convert the image into grayscale Levels. Then it converts the image into binary. This binary image will be subjected to splitting it into components. Here we can us 4-Connected or 8-Connected Algorithm but we used 8-Connected Algorithm for finding the Blobs in the image as described above
Update : 2025-02-17 Size : 52kb Publisher : 程磊

本程序是基于多文档(MDI)的连通域标记算法,用于统计连通域的数目。本人亲自修改,运行通过,而且附有测试例图。-This procedure is based on the multiple document (MDI) of the connected components labeling algorithm, the number of connected components for the statistics. I personally modify, run through, and with a test case diagrams.
Update : 2025-02-17 Size : 1.99mb Publisher : jerry

对图片以及视频帧进行连通域提取,环境需要opencv vs2005,必要的配置,连通域的算法是基于递归的二值图像标记算法。-Frame of the picture, and video connectivity components extraction, environmental needs opencv vs2005, the necessary configuration, connected components algorithm is based on the recursive binary image labeling algorithm.
Update : 2025-02-17 Size : 4.29mb Publisher : 王聪

This function do connected components of labeling in 3D image.
Update : 2025-02-17 Size : 2kb Publisher : caseter/caster

二值图像连通域标记的算法_Word文档下总结,有三个文档,相当齐全哦~-Algorithms of connected components labeling of bi-image. Detailed and complete summary of 3 word files
Update : 2025-02-17 Size : 130kb Publisher : 高昕

Connected-component labeling (alternatively connected-component analysis, blob extraction, region labeling, blob discovery, or region extraction) is an algorithmic application of graph theory, where subsets of connected components are uniquely labeled based on a given heuristic. Connected-component labeling is not to be confused with segmentation. This code is used to separate the connected components in the image.
Update : 2025-02-17 Size : 28kb Publisher : ahmed
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