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Detection of Black Point Houses on the Large Size Scanned Topographic Map

  • Young-Bin Kwon
Conference paper
  • 360 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1941)

Abstract

In this paper, an automatic method for the detection of houses which represented black points on the large size scanned topographic map is described. Various signals such as characters, lines, signs, and dashed lines may overlapped with the house symbol. After contour detection method is used for detecting isolated houses. Run-length encoding method is used for manipulating houses touching with grid lines. Character and symbol elimination and morphological operations is done for the houses touched to roads and borderlines. Various recognition results are described.

Keywords

False Recognition Recognition Result Grid Line Correct Recognition Morphological Operation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Young-Bin Kwon
    • 1
  1. 1.Department of Computer Science & EngineeringChung-Ang University SeoulSouth Korea

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