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改进的灰度图像的骨架提取与重建算法
On improved method for image skeleton minimization & reconstruction
【摘要】 数学形态学是一种非线性的处理信息的工具,它是一种建立在集合论和形态学上的对图像进行分析理解的工具,数学形态学主要有四个算子:扩张、腐蚀、开启和闭合。该文把灰度图像函数映射成二值图像以后,基于数学形态学理论,提出一种灰度图像的骨架提取和重建算法,并取得非常好的效果。
【Abstract】 Mathematical morphology is a non-linear tool to analyze information,and it provides a tool for the analyzing and processing of images based on morphology and set theory.For main arithmetic operators are used,namely Dilation,Erosion,Opening and Closing.This paper presents an improved method for skeleton minimization & reconstruction of image based on mathematical morphology,after gray image function mapping into binary one,and achieves desirable results.
【关键词】 数学形态学;
灰度图像;
二值图像;
骨架提取;
图像重建;
【Key words】 Mathematical morphology; Gray image; binary image; skeleton minimization; reconstruction of image;
【Key words】 Mathematical morphology; Gray image; binary image; skeleton minimization; reconstruction of image;
- 【文献出处】 绵阳师范学院学报 ,Journal of Mianyang Normal University , 编辑部邮箱 ,2011年02期
- 【分类号】TP391.41
- 【被引频次】2
- 【下载频次】262