摘要
根据细线化算法出现的毛刺特征分析进行去毛刺处理,对生产生活中的图像特征骨架提取有着重要的辅助作用。在对原图像进行了去噪等预处理后,通过阈值分割和细线化算法获取图像特征骨架区域,在所得特征骨架图像基础上针对二值图像细线化带来的毛刺问题,提出一种基于行程跟踪的毛刺去除算法,通过检测产生毛刺的交叉点和端点之间的像素,定义毛刺并确定其位置后进行有效去除。通过MATLAB软件对实际图片进行仿真分析,结果表明,相比已有去毛刺算法,所提算法不仅可以有效去除细线化产生的毛刺,并且能保持完整的图像骨架。
Deburring according to the analysis of the deburring feature of the thin line algorithm plays an important role in the production and life of image feature skeleton extraction.After preprocessing the original image such as denoising,the image feature skeleton area is obtained by threshold segmentation and thinning algorithm.Based on the obtained feature skeleton image,aiming at the burr problem caused by the thinning of binary image,a burr removal algorithm based on stroke tracking is proposed.By detecting the pixels between the intersection and the end of the burr,the burr is defined and its position is determined.After that,it can be removed effectively.Through the simulation analysis of the actual pictures by MATLAB software,the results show that compared with the existing deburring algorithm,the proposed algorithm can not only effectively remove the deburring generated by the thin line,but also maintain the complete image skeleton.
作者
钟伦超
何川
ZHONG Lunchao;HE Chuan(Dean's Office of Huangshan University,Huangshan,Anhui 245041;School of Information Engineering of Huangshan University,Huangshan,Anhui 245041)
出处
《武夷学院学报》
2020年第6期44-48,共5页
Journal of Wuyi University
基金
黄山学院2018年度校级人才第二批启动项目:信息系统中不变边图模型研究(2018xkjq015)。
关键词
二值图像
细线化
行程跟踪
去毛刺
binary image
fine line
stroke tracking
deburring
