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基于 GaborSIFT+NNScSPM 图像特征抽取算法研究

江爱文 王春恒 肖柏华

江爱文, 王春恒, 肖柏华. 基于 GaborSIFT+NNScSPM 图像特征抽取算法研究. 自动化学报, 2011, 37(10): 1183-1189. doi: 10.3724/SP.J.1004.2011.01183
引用本文: 江爱文, 王春恒, 肖柏华. 基于 GaborSIFT+NNScSPM 图像特征抽取算法研究. 自动化学报, 2011, 37(10): 1183-1189. doi: 10.3724/SP.J.1004.2011.01183
JIANG Ai-Wen, WANG Chun-Heng, XIAO Bai-Hua. An Image Feature Extraction Method Based on GaborSIFT+NNScSPM. ACTA AUTOMATICA SINICA, 2011, 37(10): 1183-1189. doi: 10.3724/SP.J.1004.2011.01183
Citation: JIANG Ai-Wen, WANG Chun-Heng, XIAO Bai-Hua. An Image Feature Extraction Method Based on GaborSIFT+NNScSPM. ACTA AUTOMATICA SINICA, 2011, 37(10): 1183-1189. doi: 10.3724/SP.J.1004.2011.01183

基于 GaborSIFT+NNScSPM 图像特征抽取算法研究

doi: 10.3724/SP.J.1004.2011.01183
详细信息
    通讯作者:

    江爱文 江西师范大学计算机与信息工程学院讲师. 2010年获中国科学院自动化研究所博士学位. 主要研究方向为图像处理与模式识别. E-mail: aiwen.jiang@ia.ac.cn

An Image Feature Extraction Method Based on GaborSIFT+NNScSPM

  • 摘要: 视觉信息的特征表示是计算机视觉场景图像理解研究中的核心内容. 基于GaborSIFT+NNScSPM的图像特征抽取算法,借鉴生物视觉机制中的相关 研究成果,有机结合了HMAX层次计算模型的思想和非负稀疏编码的策略, 较为合理地模拟了生物视觉皮层中视觉处理的过程.在15类场景图 像和Caltech101两个公开数据集上进行了实验验证, 实验结果表明我们所提出的算法较同期算法有着良好的分类性能.
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出版历程
  • 收稿日期:  2010-09-15
  • 修回日期:  2011-05-17
  • 刊出日期:  2011-10-20

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