| 基于Otsu与模糊技术的图像分割方法 |
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| 引用本文： | 徐琳俊,陈红卫. 基于Otsu与模糊技术的图像分割方法[J]. 计算机工程与应用, 2011, 47(32): 194-197. DOI: 10.3778/j.issn.1002-8331.2011.32.056 |
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| 作者姓名： | 徐琳俊 陈红卫 |
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| 作者单位： | 江苏科技大学 电子信息学院，江苏 镇江 212003 |
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| 摘 要： | 阈值分割是一种使用较广的图像分割处理方法，传统的单阈值分割方法存在一定的缺陷。针对人眼视觉系统的特点并考虑图像的模糊不确定因素，将模糊技术应用到传统的最大类间方差分割法。用一种快速多阈值分割方法进行多区域划分，引入隶属度改进最大类间方差法，寻找区域最优分割阈值，进而分割图像。仿真实验结果表明：用该方法分割图像可以大大改进因噪声、光照或其他干扰因素造成的模糊、多目标、分割不完全的情况，分割效果明显改善。
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| 关 键 词： | 多阈值分割 隶属度 最大类间方差 |
| 修稿时间： | |
Method of image segmentation based on Otsu and fuzzy technologies |
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| XU Linjun,CHEN Hongwei. Method of image segmentation based on Otsu and fuzzy technologies[J]. Computer Engineering and Applications, 2011, 47(32): 194-197. DOI: 10.3778/j.issn.1002-8331.2011.32.056 |
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| Authors: | XU Linjun CHEN Hongwei |
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| Affiliation: | Department of Electronic Engineering，Jiangsu University of Science and Technology，Zhenjiang，Jiangsu 212003，China |
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| Abstract: | The threshold segmentation is widely used in image segmentation,but the traditional single-threshold segmentation method has some shortcomings.This paper applies fuzzy technologies to traditional Otsu segmentation,considering the characteristics of human visual system and the uncertainty of fuzzy images.It divides multi-regional with a fast multi-threshold segmentation method,introduces degree of membership to Otsu to find optimal segmentation threshold.The final segmented result is used to segment images.T... |
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| Keywords: | multi-threshold dividing degree of membership maximum between-class variance |
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