• DocumentCode
    877913
  • Title

    Directional mathematical morphology and reformalized Hough transformation for the analysis of topographic maps

  • Author

    Yamada, Hiromitsu ; Yamamoto, Kazuhiko ; Hosokawa, Katsumi

  • Author_Institution
    Electrotech. Lab., Tsukuba, Japan
  • Volume
    15
  • Issue
    4
  • fYear
    1993
  • fDate
    4/1/1993 12:00:00 AM
  • Firstpage
    380
  • Lastpage
    387
  • Abstract
    One of the most difficult and important problems encountered in the automatic digitizing of graphical topographic maps is the identification and separate digitizing of different kinds of features. Essentially, in topographic maps, there are two kinds of geometric features: linear features, such as roads and railways that have an arbitrary length, and symbols, which indicate a type of building or area of land usage or even numerical information. These two types of features are extracted and recognized by using methods based on multiangled parallelism (MAP). The MAP operation method performs parallel calculation on directional feature planes. The linear features are extracted using erosion-dilation operations on the directional feature planes, and the symbols are extracted using a reformalized and parallel version of the generalized Hough transformation on the same directional planes, which is called the MAP matching method. The methods have been applied to a 1/25000 scale map
  • Keywords
    Hough transforms; cartography; feature extraction; image processing; mathematical morphology; parallel algorithms; 1/25000 scale map; MAP matching method; automatic digitisation; cartography; directional feature planes; directional mathematical morphology; erosion-dilation operations; feature extraction; graphical topographic maps; image processing; maps analysis; multiangled parallelism; reformalized Hough transformation; Computer vision; Data mining; Feature extraction; Laboratories; Morphology; Parallel processing; Performance analysis; Rail transportation; Roads; Shape;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.206957
  • Filename
    206957