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图学学报

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基于空间信息的残缺图像标注

  

  1. 山东师范大学信息科学与工程学院,山东 济南 250014
  • 出版日期:2017-06-30 发布日期:2017-07-17
  • 基金资助:
    国家自然科学基金项目(61170145,61373081);教育部博士点基金项目(20113704110001)

An Incomplete Image Annotation Method Based on Spatial Information

  1. School of Information Science and Engineering, Shandong Normal University, Jinan Shandong 250014, China
  • Online:2017-06-30 Published:2017-07-17

摘要: 提出一种基于空间信息的残缺图像自动标注算法。选取图像缺损部分的最小矩形
局域,沿矩形边沿延伸将所有图像按此比例进行分割,以图像的分割子块为单位进行图像的相
似性度量,利用图像分割区域的空间结构信息完成对图像的自动标注。实验表明该方法减弱了
图像缺损部分对图像内容理解的影响,提高了残缺图像的标注查全和查准率,更好的体现整幅
图像的蕴含信息。

关键词: 空间信息, 残缺图像, 图像标注

Abstract: In this paper, we propose an incomplete image annotation algorithm based on spatial
information. We first select the minimum rectangular region of the incomplete part of the picture, and
then segment all the images by extending the selected region as the segmental directrix. We calculate
the similarity of pictures by using the image segmentation sub-block as the fundamental unit. We and
use the spatial structure information of image segmentation sub-block to complete the automatic
image annotation. The experimental results proved that our method could reduce the negative impact
of image content understanding which is influenced by the incomplete part of the picture. Our method
could also improve the recall ratio and precision ratio of image annotation. It could better reflect the
information contained in the whole image.

Key words: spatial information, incomplete image, image annotation