| 基于嗅觉神经网络的织物组织识别 |
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| 引用本文： | 包晓敏,曹作宝,汪亚明,周砚江,朱寒宇. 基于嗅觉神经网络的织物组织识别[J]. 纺织学报, 2011, 32(4): 52-56 |
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| 作者姓名： | 包晓敏 曹作宝 汪亚明 周砚江 朱寒宇 |
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| 作者单位： | 浙江理工大学信息电子学院;浙江理工大学机械学院;浙江理工大学服装学院; |
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| 基金项目： | 国家自然科学基金资助项目(60873020); 浙江省自然科学基金资助项目(Z1080702); 浙江省教育厅重点资助项目(Z200909799) |
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| 摘 要： | 针对织物组织的多样性及其组织图像处理易受噪声干扰的问题,提出一种基于嗅觉神经网络的织物组织识别方法.在生物嗅觉神经网络建模技术的基础上,根据激励响应关系调节KIII模型输入电压,将采集的织物图像在X和Y方向投影,计算其组织点大小,然后重排组织点,将重排结果运用上述KIII模型识别.样本数据验证表明:所建模型对平纹、缎纹...
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| 关 键 词： | 织物组织 组织识别 嗅觉神经网络 KIII模型 |
| 收稿时间： | 2010-05-31; |
Fabric pattern recognition based on olfactory neural network |
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| BAO Xiaomin,CAO Zuobao,WANG Yaming,ZHOU Yanjiang,ZHU Hanyu. Fabric pattern recognition based on olfactory neural network[J]. Journal of Textile Research, 2011, 32(4): 52-56 |
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| Authors: | BAO Xiaomin CAO Zuobao WANG Yaming ZHOU Yanjiang ZHU Hanyu |
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| Affiliation: | BAO Xiaomin1,CAO Zuobao1,WANG Yaming1,ZHOU Yanjiang2,ZHU Hanyu3(1.College of Information and Electronic,Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China,2.College of Mechanical,3.College of Fashion,China) |
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| Abstract: | According to the stimulus-response relationship regulate the input voltage of the KIII model, based on the biological olfactory neural network model technology. And then project the collected fabric image in the direction of x and y, calculated the size of the fabric point, and then rearrangement fabric point. Images are trained by the neural network after processing above-mentioned. The experiment results show that the improved network is effective, and the method can accurately extract the fabric points and it is better than the traditional methods. A new method to extract the fabric points is presented for the twill stitch, the improved network also is effective. |
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