| 基于两种数学形态学算法优势互补的图像细化方法 |
| |
| 引用本文： | 刘惠敏,夏琳琳.基于两种数学形态学算法优势互补的图像细化方法[J].自动化技术与应用,2011,30(10):67-71. |
| |
| 作者姓名： | 刘惠敏 夏琳琳 |
| |
| 作者单位： | 1. 青岛农业大学机电工程学院,山东青岛,266109
2. 东北电力大学自动化工程学院,吉林吉林,132012 |
| |
| 摘 要： | 图像的细化是提取曲线特征,矢量化、识别等后续图像处理的基础,而单一的算法往往不能得到理想的细化效果.本文在研究各种已有的细化算法的基础上,从中选出两种不同的数学形态学算法共同处理同一图像,可以实现较好的细化效果:即先对图像采用基于5×5邻域模板的数学形态学细化算法进行细化处理,再对处理后的图像采用基于结构元素对的数学形...
|
| 关 键 词： | 数学形态学 图像 细化 |
Method for Image Thinning Based on Composite Algorithm of Mathematical Morphology |
| |
| LIU Hui-min,XIA Lin-lin.Method for Image Thinning Based on Composite Algorithm of Mathematical Morphology[J].Techniques of Automation and Applications,2011,30(10):67-71. |
| |
| Authors: | LIU Hui-min XIA Lin-lin |
| |
| Affiliation: | 1. Mechanical ＆ Electrical Engineering College, Qingdao Agriculture University, Qingdao 266109 China; 2. School of Automation Engineering, Northeast Electric Power University, Jilin 132012 China ) |
| |
| Abstract: | Image thinning is the foundation of the follow-up image processing such as curve feature extraction, vectorization, identification etc. However a single thinning algorithm often cannot reach ideal thinning effects. The paper proposes a method of image thinning based on composite algorithm of mathematical morphology： first, thinning processing based on mathematical morphology method of 5 × 5 neighborhood template; second, thinning processing based on mathematical morphological method of structure elements. The experiment results indicate that the method can realize non-corrosive, good connectivity, without burr and for eight adjacent connections effect, and lay a good foundation for the follow-up of image processing. |
| |
| Keywords: | Mathematical morphology Image Thinning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
