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二维凝胶图像一致蛋白质点集提取方法
  • 摘要

    针对凝胶图像间蛋白质点人工比对工作量大和易出错的问题,提出一种基于粗配准一精匹配的一致蛋白质点集自动提取方法.根据凝胶图像的SIFT特征匹配结果对凝胶图像进行粗配准;采用标记分水岭方法进行点检测;再根据蛋白质点的距离相似度和灰度相似度进行双向匹配,提取一致蛋白质点集.通过对多种不同来源的凝胶图像进行实验,提取一致蛋白质点集的正确率高于97%.结果表明,该方法在具有缩放、旋转、亮度和噪声差异的凝胶图像中提取一致蛋白质点集都具有较好的稳定性.

  • 作者

    欧巧凤  张会生  熊邦书  李立欣  OU Qiao-feng  ZHANG Hui-sheng  XIONG Bang-shu  LI Li-xin 

  • 作者单位

    西北工业大学电子信息学院,西安710072;南昌航空大学图像处理与模式识别江西省重点实验室,南昌330063/西北工业大学电子信息学院,西安,710072/南昌航空大学图像处理与模式识别江西省重点实验室,南昌,330063

  • 刊期

    2014年9期 ISTIC PKU

  • 关键词

    二维凝胶图像  一致蛋白质点集  SIFT特征  图像配准  2-D gel image  consistent protein spot set  SIFT feature  image registration 

参考文献
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