| 区域生长和C-均值聚类结合的图像分割方法 |
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| 引用本文： | 李媛,王浩全,张培.区域生长和C-均值聚类结合的图像分割方法[J].测试技术学报,2012(1):31-34. |
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| 作者姓名： | 李媛 王浩全 张培 |
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| 作者单位： | 中北大学信息与通信工程学院 |
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| 基金项目： | 山西省自然基金资助项目(2011011015-2);中北大学仪器科学与动态测试技术教育部重点实验室青年基金资助项目 |
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| 摘 要： | 结合边缘检测的模糊C-均值聚类图像分割方法,本文提出一种基于区域生长和模糊C-均值聚类相结合的图像分割方法.采用与区域生长类似的方法,寻找图像中封闭边缘围成的相互独立的区域,根据物理就近原则对边缘点进行归类,完成图像的分割.经实验验证:目标区的分割相对完整.
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| 关 键 词： | 图像分割 模糊C-均值 超声CT 区域生长 聚类 |
Image Segmentation Based on the Combination of Region Growing and C-means Clustering |
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| LI Yuan,WANG Haoquan,ZHANG Pei.Image Segmentation Based on the Combination of Region Growing and C-means Clustering[J].Journal of Test and Measurement Techol,2012(1):31-34. |
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| Authors: | LI Yuan WANG Haoquan ZHANG Pei |
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| Affiliation: | (School of Information and Communication Engineering,North University of China,Taiyuan 030051,China) |
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| Abstract: | This paper presents an image segmentation method which based on the combination of region growing and fuzzy c-means clustering to solve the problems of over-segmentation and under-segmentation of image.The seed points in the growing area are determined by using a similar approach with the region growing to seek the mutual independence zone.Then the edge points are categorized according to the physics nearby principle combining with the clustering set thoughts and finally to complete the image segmentation.The experiments results indicate that the target area is well smooth and the segmentation effect is superior to that of the compared method. |
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| Keywords: | image segmentation fuzzy C-means ultrasound CT region growing clustering |
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