| 用自适应谐振网络进行图像纹理的分类与识别 |
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| 引用本文： | 潘琼峰,廖孟扬,覃家美.用自适应谐振网络进行图像纹理的分类与识别[J].武汉大学学报(理学版),1995(3). |
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| 作者姓名： | 潘琼峰 廖孟扬 覃家美 |
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| 作者单位： | 武汉大学电子信息学学院 |
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| 摘 要： | 分析了自适应谐振（ＡＲＴ２）神经网络模型的模式分类能力，并利用该网络来进行图像纹理的分类和识别，对６类自然景物的纹理图片分类和识别的结果验证了方法的有效性，对心脏超声图片的分类也取得一些初步成果．
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| 关 键 词： | 人工神经网络，自适应谐振理论，纹理，分类与识别，非监督学习 |
TEXTURE IMAGE CLASSIFICATION AND RECOGNITION USING ADAPTIVE RESONANCE NETWORK |
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| Pan Qiongfeng, Liao Mengyang,Qing Jiamei.TEXTURE IMAGE CLASSIFICATION AND RECOGNITION USING ADAPTIVE RESONANCE NETWORK[J].JOurnal of Wuhan University:Natural Science Edition,1995(3). |
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| Authors: | Pan Qiongfeng Liao Mengyang Qing Jiamei |
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| Abstract: | We analysis the classification ability of ART2 (adaptive resonance theory)neural network and use the network to classify and recognize texture image. Our purpose is to find a efficient method of unsurpervised texture image classification and recognition.We get a satisfied result over six kind of scene texture image classification and recognition experiment,so this method is feasible. We also use this network to classify the cardiac ultrasonic image and get some elemental results. |
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| Keywords: | artificial neural network adaptive resoncnce theory texture classification and recognition unsurpervised learning |
| 本文献已被 CNKI 等数据库收录！ |
