| 基于小波与神经网络的图像分割 |
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| 引用本文： | 韩建业. 基于小波与神经网络的图像分割[J]. 科技咨询导报, 2011, 0(6): 75-76,79 |
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| 作者姓名： | 韩建业 |
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| 作者单位： | 湖北统计局黄冈调查分队,湖北黄冈,436100 |
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| 基金项目： | 项目来源:2009福建省教育厅科技项目，项目 |
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| 摘 要： | 图像分割是图像处理的一个经典难题,分割方法也有很多种,但没有一种是万能的方法,都很难在分割效率和分割精度上达到平衡.随着小波分析理论和人工神经丹络在图像处理中的广泛应用,基于小波与人工神经网络相结合的图像分割方法可以更快、更好的分割图像.
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| 关 键 词： | 感兴趣区域 图像分割 小波变换 图像金字塔 神经网络 |
DIVIDES HAN BASED ON THE WAVELET AND NEURAL NETWORK'S IMAGE TO SET UP |
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| hanjianye. DIVIDES HAN BASED ON THE WAVELET AND NEURAL NETWORK'S IMAGE TO SET UP[J]. , 2011, 0(6): 75-76,79 |
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| Authors: | hanjianye |
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| Affiliation: | hanjianye(Hubei statistics bureau Huang Gang investigates division Hubei Huang Gang 436100) |
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| Abstract: | Image segmentation is a classical image processing problems,there are many segmentation methods,but no one is the universal way,are difficult to separate the efficiency and accuracy of segmentation in the balance.With the wavelet analysis and artificial neural networks widely used in image processing,based on the combination of wavelet image segmentation and artificial neural networks can be faster and better image segmentation. |
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| Keywords: | region of interest image segmentation wavelet transform image pyramid neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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