图学学报
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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
周家琪, 刘 丽, 崔晓萍, 尚 菲, 矫文聪. 基于空间信息的残缺图像标注[J]. 图学学报, DOI: 10.11996/JG.j.2095-302X.2017S10015.
ZHOU Jiaqi, LIU Li, CUI Xiaoping, SHANG Fei, JIAO Wencong. An Incomplete Image Annotation Method Based on Spatial Information[J]. Journal of Graphics, DOI: 10.11996/JG.j.2095-302X.2017S10015.
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http://www.txxb.com.cn/CN/Y2017/V38/I增刊/15