Hotspots and Cutting-edge Analysis of Matting Based on CiteSpace
This paper comprehensively searches the literature on cutouts from CNKI since 2000,and uses CiteSpace bibliometrics tools to draw and analyze knowledge maps.The results showed that the overall trend of the number of papers published in the matting study was relatively unstable,showing a slight downward trend.The number of authors in the field of matting is generally small,and two close-knit teams have been formed,and there is no close cooperative relationship between the publishing institutions.Keyword analysis shows that matting,channel,image processing and image matting are the research hotspots in this field,and after 2020,the existing research results in the field of matting are very sparse.In addition,deep learning,deep neural networks,attention mechanism and portrait matting are the future research trends in the field of matting.
NETL
NSTL
万方数据
