| 基于最大类间方差的数字化铁谱图像分割 |
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| 引用本文： | 宋国云,范彦斌.基于最大类间方差的数字化铁谱图像分割[J].佛山科学技术学院学报(自然科学版),2007,25(1):36-39. |
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| 作者姓名： | 宋国云 范彦斌 |
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| 作者单位： | 1. 华南理工大学,机械工程学院,广东,广州,510640;佛山科学技术学院,机电系,广东,佛山,528000
2. 佛山科学技术学院,机电系,广东,佛山,528000 |
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| 摘 要： | 根据铁谱图像的特点,基于最大类间方差法,针对数字化铁谱图像的二值化分割进行了算法研究,提出了一种铁谱图像自动分割方法。实验证明,此方法能够实现较好的分割效果,为后续的铁谱磨粒特征提取与识别作了必要的准备。
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| 关 键 词： | 铁谱图像 图像分割 最大类间方差法 |
| 文章编号： | 1008-0171（2007）01-0036-04 |
| 收稿时间： | 2006-12-08 |
| 修稿时间： | 2006-12-08 |
The algorithm for the ferrography image segmentation based on maximum variance between clusters |
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| SONG Guo-yun,FAN Yan-bin.The algorithm for the ferrography image segmentation based on maximum variance between clusters[J].Journal of Foshan University(Natural Science Edition),2007,25(1):36-39. |
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| Authors: | SONG Guo-yun FAN Yan-bin |
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| Institution: | 1. School of Mechanical Engineering, South China University of Technology, Guangzhou 510640, China; 2. Department of Mechatronics, Foshan University,Foshan 528000, China |
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| Abstract: | According to the characteristics of ferrography images and based on maximum variance between clusters,an automatic algorithm is presented in this paper for the binary segmentation of ferrography images.This algorithm is effective through experiments and it is the necessary precondition for the following work like ferrography particle's feature extraction and recognition. |
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| Keywords: | ferrography image image segmentation maximum variance between clusters |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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