摘要
为了实现刀具图像的轮廓跟踪,提取轮廓点,采用Matlab.NET component与Mi-crosoft Visual Studio C Sharp混和编程技术,并运用模糊C均值聚类(Fuzzy C Mean cluste-ring,FCM)算法对图像进行处理,返回分割阈值,实现对灰度图像的分割.同时为避免出现轮廓断点,引入编码技术,再经过8邻域搜索目标轮廓,最终完成刀具图像轮廓跟踪.与微分算子的边缘检测对比,本文算法利用FCM分割图像,又引入编码技术,实现轮廓连续的跟踪检测,该方法分割效果较好,界面编写简单,运行简便.
In order to achieve the contour tracking and extract contour points on image of cutting tools,mixed programming of Matlab.NET component and Microsoft Visual Studio C Sharp is adopted.Fuzzy C means clustering algorithm is used for image processing,returning segmentation threshold,and the completing the gray image segmentation.Besides,to avoid contour breakpoint,the 8-neighbour coding is used to complete the image contour tracking.Compared with traditional methods of differential operator,FCM algorithm for image segmentation and the introducted coding technology achieve continuous contour tracking and detection.This algorithm is simple and convenient.
出处
《西安工业大学学报》
CAS
2011年第3期236-240,共5页
Journal of Xi’an Technological University
基金
陕西省教育厅专项科研计划项目(09JK497)
陕西省教育厅科学研究计划项目(2010JK600)
陕西省教育厅专项科研计划项目(11JK0981)
关键词
模糊C均值聚类
图像分割
轮廓跟踪
阈值法
fuzzy C mean（FCM） clustering algorithm
image segmentation
contour tracing
thresholding
