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Basic Experimental Results – Outdoor Imagery

  • Bir Bhanu
  • Sungkee Lee
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 287)

Abstract

The outdoor imagery database is collected to further explore the capabilities of the baseline adaptive image segmentation system described in Chapter 4. The images in the database are intended to be more complex than the indoor images used in Chapter 5 and the type of variations between the images are more extensive due to the changing position and intensity of the sun. This movement creates varying object highlights, moving shadows, and many subtle contrast changes. Imagery of this type allows us to monitor the segmentation system’s ability to compensate for changing real-world conditions.

Keywords

Training Image Segmentation Result Initial Location Segmentation Quality Seed Population 
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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Copyright information

© Springer Science+Business Media New York 1994

Authors and Affiliations

  • Bir Bhanu
    • 1
  • Sungkee Lee
    • 2
  1. 1.University of CaliforniaRiversideUSA
  2. 2.Kyungpook National UniversityTaeguSouth Korea

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