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Two Different Multi-kernels Integration with Spatial Information in Fuzzy C-means Algorithm for Medical Image Segmentation | |
Venu, Nookala; Anuradha, B. | |
通讯作者 | Venu, Nookala |
会议名称 | 2015 International Conference on Communications and Signal Processing (ICCSP) |
会议日期 | APR 02-04, 2015 |
会议地点 | Melmaruvathur, INDIA |
英文摘要 | This paper proposes a new procedure for medical image segmentation using the integration of two different multi-kernels with spatial information in fuzzy c-means algorithm. In literature, it has proved that the multi-kernels outperform the single kernels. In this paper, the integration of two hyperbolic tangent kernels and two Gaussian kernels are used in the proposed algorithm for clustering of images. The performance of the proposed algorithm is tested on OASIS-MRI image dataset. The performance is tested in terms of V-pc. V-pe and Silhouette Value on OASIS-MRI dataset. The results after investigation, the proposed method shows a significant improvement as compared to other existing methods in terms of score, NI and TM under different Gaussian noises on OASIS-MRI dataset. |
英文关键词 | multi-hyperbolic tangent function Segmentation multi-Gaussian Kernel fuzzy multiple-kernel |
来源出版物 | 2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP) |
出版年 | 2015 |
页码 | 20-25 |
EISBN | 978-1-4799-8081-9 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | India |
收录类别 | CPCI-S |
WOS记录号 | WOS:000380448200352 |
WOS关键词 | MRI ; FCM |
WOS类目 | Engineering, Electrical & Electronic ; Telecommunications |
WOS研究方向 | Engineering ; Telecommunications |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/303828 |
作者单位 | Sri Venkateswara Univ, Dept Elect & Commun Engn, Tirupati 517502, Andhra Pradesh, India |
推荐引用方式 GB/T 7714 | Venu, Nookala,Anuradha, B.. Two Different Multi-kernels Integration with Spatial Information in Fuzzy C-means Algorithm for Medical Image Segmentation[C]:IEEE,2015:20-25. |
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