• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Imaging Science and Technology >Feature-Level Image Fusion Through Consistent Region Segmentation and Dual-Tree Complex Wavelet Transform
【24h】

Feature-Level Image Fusion Through Consistent Region Segmentation and Dual-Tree Complex Wavelet Transform

机译：通过一致区域分割和双树复小波变换进行特征级图像融合

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Feature-level image fusion is investigated with region segmentation and dual-tree complex wavelet transform (DT-CWT). The DT-CWT coefficients are preprocessed by median filtering, and the texture gradients are computed with Gaussian derivatives. The key step of the proposed algorithm is a consistent segmentation of multiple images in the same sub-band. The authors construct a two-order tensor with the gradient of each image, and take the difference between its two eigenvalues as the equivalent gradient squared norm. The watershed algorithm is applied to this norm to obtain the desired region segmentation. Many activity measures of a region are used to construct various fusion rules, and many performance metrics are computed to evaluate the performance. The proposed feature-level approach based on a selection and averaging strategy is compared with many well known approaches, including the latest sparse representation based ones. A comprehensive examination indicates its advantages over other approaches, especially for outdoor applications involving noise and complex background. (C) 2016 Society for Imaging Science and Technology
机译：利用区域分割和双树复小波变换（DT-CWT）研究了特征级图像融合。通过中值滤波对DT-CWT系数进行预处理，并使用高斯导数计算纹理梯度。该算法的关键步骤是在同一子带中对多个图像进行一致的分割。作者用每个图像的梯度构造一个二阶张量，并将其两个特征值之差作为等效梯度平方范数。分水岭算法应用于该范数以获得所需的区域分割。区域的许多活动度量用于构造各种融合规则，并计算许多性能指标以评估性能。将基于选择和平均策略的拟议特征级方法与许多众所周知的方法进行了比较，包括最新的基于稀疏表示的方法。全面的检查表明它比其他方法更具优势，尤其是对于涉及噪声和复杂背景的户外应用。 （C）2016年影像科学与技术学会

著录项

  • 来源
    《Journal of Imaging Science and Technology》 |2016年第2期|020502.1-020502.11|共11页
  • 作者

    Wei Tao; Gao Qiong; Ma Na; Li Na; Wang Juanfeng; Lei Ping; Ji Xinsheng;

  • 作者单位

    Natl Digital Switching Syst Engn & Technol R&D Ct, Zhengzhou 450001, Henan, Peoples R China|Henan Inst Engn, Coll Comp, Zhengzhou 451191, Henan, Peoples R China;

    Key Lab Elect Countermeasures Test & Evaluat Tech, Luoyang 471003, Henan, Peoples R China|Luoyang Elect Equipment Test Ctr, Luoyang 471003, Henan, Peoples R China;

    Key Lab Elect Countermeasures Test & Evaluat Tech, Luoyang 471003, Henan, Peoples R China|Luoyang Elect Equipment Test Ctr, Luoyang 471003, Henan, Peoples R China;

    Henan Univ Sci & Technol, Coll Elect Engn, Luoyang 471023, Henan, Peoples R China;

    Luoyang Elect Equipment Test Ctr, Luoyang 471003, Henan, Peoples R China;

    Luoyang Elect Equipment Test Ctr, Luoyang 471003, Henan, Peoples R China;

    Natl Digital Switching Syst Engn & Technol R&D Ct, Zhengzhou 450001, Henan, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号