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特征联合和旋转不变空间分割联合的局部图像描述符

许允喜 陈方

许允喜, 陈方. 特征联合和旋转不变空间分割联合的局部图像描述符. 自动化学报, 2016, 42(4): 617-630. doi: 10.16383/j.aas.2016.c150206
引用本文: 许允喜, 陈方. 特征联合和旋转不变空间分割联合的局部图像描述符. 自动化学报, 2016, 42(4): 617-630. doi: 10.16383/j.aas.2016.c150206
XU Yun-Xi, CHEN Fang. Local Image Descriptor of Feature Combination and Rotation Invariant Space Division Combination. ACTA AUTOMATICA SINICA, 2016, 42(4): 617-630. doi: 10.16383/j.aas.2016.c150206
Citation: XU Yun-Xi, CHEN Fang. Local Image Descriptor of Feature Combination and Rotation Invariant Space Division Combination. ACTA AUTOMATICA SINICA, 2016, 42(4): 617-630. doi: 10.16383/j.aas.2016.c150206

特征联合和旋转不变空间分割联合的局部图像描述符

doi: 10.16383/j.aas.2016.c150206
基金项目: 

国家自然科学基金 61370173

湖州市重点科技创新团队 2012KC04

详细信息
    作者简介:

    陈方, 湖州师范学院信息工程学院讲师.主要研究方向为计算机视觉和图像处理.E-mail:cf@hutc.zj.cn

    通讯作者:

    许允喜, 湖州师范学院信息工程学院讲师.主要研究方向为计算机视觉, 图像处理和机器学习.本文通信作者.E-mail:xuyunxi@hutc.zj.cn

Local Image Descriptor of Feature Combination and Rotation Invariant Space Division Combination

Funds: 

National Natural Science Foundation of China 61370173

Key Science and Technology Innovation Team of Huzhou City 2012KC04

More Information
    Author Bio:

    Lecturer at the School of Information Engineering, Huzhou University. Her research interest covers computer vision and image processing

    Corresponding author: XU Yun-Xi Lecturer at the School of Information Engineering, Huzhou University. His research interest covers computer vision, image processing, and machine learning. Corresponding author of this paper
  • 摘要: 提出了一种新的局部图像描述符: 特征联合和旋转不变空间分割联合描述符(Feature combination and rotation invariant space division combination descriptor, FCSCD). 提出了一种新的局部特征: WLBP (Weber local binary pattern), 该特征由局部二进制模式和韦伯二进制差分激励联合得到. 提出了一种新的用于特征汇聚的旋转不变空间分割方法, 该方法由强度序空间分割和圆环空间分割联合得到. WLBP在局部旋转不变坐标系计算得到, 强度序和圆环空间分割本身也具有旋转不变性, 所以FCSCD描述符在不需要计算图像块主方向下保持了旋转不变性. 与现有的局部描述符相比, 本文的联合方法编码了多种类型的信息在描述符直方图中, 所以FCSCD辨别能力更强, 鲁棒性更强. 图像匹配实验结果表明了本文方法的有效性和优越性, 所提出的描述符具有很高的匹配性能, 优于其他的主流局部描述符(SIFT、CS-LBP、OSID、LIOP、EOD和MRRID).
  • 图  1  局部旋转不变坐标系统

    Fig.  1  Local rotation-invariant coordinate system

    图  2  相互重叠的两个圆环区域划分

    Fig.  2  Two overlapping annular regions division

    图  3  通过联合空间分割汇聚支撑域中局部特征的流程

    Fig.  3  The procedure of pooling local features in a support region by the combination of space divisions

    图  4  四个支撑区域选择及其归一化

    Fig.  4  The selection of four support regions and their normalization

    图  5  实验数据集

    Fig.  5  Data sets for the experiments

    图  6  不同参数下FCSCD 描述符的匹配性能

    Fig.  6  Matching performances of FCSCD under di®erent parameter settings

    图  7  各种联合情况下FCSCD 描述符的匹配性能对比

    Fig.  7  Matching performance comparisons of FCSCD under di®erent combination situations

    图  8  多支撑域条件下FCSCD 描述符的匹配性能对比

    Fig.  8  Matching performance comparisons of FCSCD under multiple support regions

    图  9  FCSCD 描述符和其他主流描述符的匹配性能对比

    Fig.  9  Matching performance comparisons of FCSCD and other popular descriptors

    图  10  FCSCD 描述符和其他主流描述符的图像匹配图

    Fig.  10  Image matching results of FCSCD and other popular descriptors

    表  1  FCSCD 描述符的参数设置

    Table  1  The setting of parameters for FCSCD descriptor

    参数设置值
    k3, 4, 5
    d2, 3
    下载: 导出CSV

    表  2  描述符运行时间对比

    Table  2  Comparison of run-time of descriptors

    SIFTCS-LBPOSIDLIOPMRRIDMRRID(4)EODFCSCD
    耗时(ms)2.41.62.13.12.610.43.32.7
    下载: 导出CSV
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出版历程
  • 收稿日期:  2015-04-10
  • 录用日期:  2015-12-11
  • 刊出日期:  2016-04-01

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