| A Medical Image Segmentation Method Based on SOM and Wavelet Transforms |
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| 作者姓名： | Jianxun Zhang Quanli Liu Zhuang Chen |
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| 作者单位： | School of Computer Science＆Engineering, Chongqing Institute of Technology, Chongqing 400050, China |
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| 基金项目： | ＊Acknowledgments： This work is partially supported by Natural Science Foundation of Chongqing, China（NSFCQ, 8647）. |
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| 摘 要： | Image segmentation plays a crucial role in many medical imaging applications and is an important but inherently difficult problem. This paper discusses the method that classifies unsupervised image using a Kohonen self-organizing map neural network. This method has two problems： training time of the network is too long and the classified result and quantity are much easily influenced by the noise of image. Two-dimensional Discrete Wavelet Transforms （DWT） decompose MRI image into the small size and denoise approximation images. Kohonen self-organizing map neural network is trained with approximation image, then trained neural network classify pixels of original image. Training time of the network is markedly decreased and the classified quality influenced by the noise of image is markedly reduced. The technique presented here has shown a very encouraging level of performance for the problem of segmentation in MRI image of the head.
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| 关 键 词： | 图像识别 医疗设备 计算机网络 网络转换 |
A Medical Image Segmentation Method Based on SOM and Wavelet Transforms |
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| Jianxun Zhang Quanli Liu Zhuang Chen.A Medical Image Segmentation Method Based on SOM and Wavelet Transforms[J].Journal of Communication and Computer,2005,2(5):46-50. |
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| Abstract: | |
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| Keywords: | Computer Image Processing Medical Image Classification Neural Network Discrete Wavelet Transforms |
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