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Line-drawing interpretation using probabilistic relaxation
Authors:Osamu Hori  Shigeyoshi Shimotsuji  Fumihiko Hoshino  Toshiaki Ishii
Affiliation:(1) Research and Development Center, Toshiba Corporation, 1, Komukai Toshiba-cho, Saiwai-ku, 210 Kawasaki, Japan;(2) Computer and Communication Research Center, Tokyo Electric Power Company, 1-4-10, Irifune, Chuuou-ku, 104 Tokyo, Japan
Abstract:This paper shows that probabilistic relaxation is an effective method in the automatic interpretation of line drawings consisting of lines, symbols, and characters, such as electricity distribution diagrams superimposed on maps. The line interpretation problem has been newly formulated as a labeling problem in which probabilistic relaxation is used to obtain globally consistent results. The proposed automatic interpretation method consists of two stages. The first is segmentation and recognition of primitive components, such as symbols, characters, and long lines. The second is long-line interpretation, where probabilistic relaxation is introduced.
Keywords:Document image analysis  Image understanding  Drawing interpretation  Line approximation  Symbol recognition  Character recognition  Line interpretation
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