Parameter Recovery Using Radon Transform
作者: Komal KomalNandita BhattacharjeeDavid AlbrechtBala Srinivasan
作者单位: Monash University, Melbourne, VIC, Australia;;Monash University, Melbourne, VIC, Australia;;Monash University, Melbourne, VIC, Australia;;Monash University, Melbourne, VIC, Australia
论文集英文名称: Advances in Mobile Computing and Multimedia
来源数据库: Association for Computing Machinery
DOI: 10.1145/3282353.3282361
关键词: Betweenness centralityK-anonymitySocial networks
原始语种摘要: In computer vision, alignment of images plays an important role in different day to day life applications by bringing similar points of images into correspondence. Conventionally, images are aligned by using the extracted features of images. However, the extraction of features is difficult, time consuming and not suitable for low quality images. Whereas pixel based alignment methods are applicable to low quality images and do not require extensive image processing applications. However, these methods are computationally exhaustive that makes it difficult to use for real time applications. Therefore, we need a pixel based method for image alignment that can overcome the limitations of computational complexity. In this paper, we have proposed an efficient Radon transform based method to...
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关键词翻译
关键词翻译
  • pixel 像素
  • correspondence 通信
  • aligning 对准
  • features 特征
  • centrality 中心
  • computer 电子计算机
  • consuming 耗的
  • computational 计算的
  • applications 应用程序
  • transformation 变换