[1]李海啸,姜璐,舒华忠.基于Zernike矩和BP神经网络的纹理分割[J].东南大学学报(自然科学版),2005,35(2):199-201.[doi:10.3969/j.issn.1001-0505.2005.02.008]
 Li Haixiao,Jiang Lu,Shu Huazhong.Texture segmentation based on Zernike moment and BP neural network[J].Journal of Southeast University (Natural Science Edition),2005,35(2):199-201.[doi:10.3969/j.issn.1001-0505.2005.02.008]
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基于Zernike矩和BP神经网络的纹理分割()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
35
期数:
2005年第2期
页码:
199-201
栏目:
计算机科学与工程
出版日期:
2005-03-20

文章信息/Info

Title:
Texture segmentation based on Zernike moment and BP neural network
作者:
李海啸 姜璐 舒华忠
东南大学影像科学与技术实验室, 南京 210096
Author(s):
Li Haixiao Jiang Lu Shu Huazhong
Image Science and Technology Laboratory, Southeast University, Nanjing 210096, China
关键词:
Zernike矩 BP神经网络 纹理分割 纹理分析
Keywords:
Zernike moment BP neural network texture segmentation texture analysis
分类号:
TP391.41
DOI:
10.3969/j.issn.1001-0505.2005.02.008
摘要:
提出了一种基于Zernike矩和BP神经网络的纹理分割方法.对图像的每个像素,选择一个窗口,计算该窗口内的Zernkie矩,然后通过非线性变换器将得到的矩值转换成纹理特征; 选择BP神经网络作为分类器,将图像的每个像素得到的n维特征向量输入BP神经网络进行分类,最后将结果标注在原图像上.和基于Legendre矩的纹理分割结果相比,基于Zernike矩的纹理分割可以降低分割错误率.
Abstract:
A texture segmentation algorithm based on Zernike moment and BP neural network is presented. The Zernike moments in small local windows of each pixel in the image are computed first and a nonlinear transducer is used to map the moments to texture features which are then inputted to BP neural network for classifying. Compared with the segmentation results based on Legendre moment, the Zernike moment based algorithm can reduce the error rates.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 国家自然科学基金资助项目(60272045).
作者简介: 李海啸(1979—),女,硕士生; 舒华忠(联系人),男,教授,博士生导师,shu.list@seu.edu.cn.
更新日期/Last Update: 2005-03-20