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Central Object Extraction for Object-Based Image Retrieval

  • Sungyoung Kim
  • Soyoun Park
  • Minhwan Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2728)

Abstract

An important step in content-based image retrieval is finding an interesting object within an image. We propose a method for extracting an interesting object from a complex background. Interesting objects are generally located near the center of the image and contain regions with significant color distribution. The significant color is the more frequently co-occurred color near the center of the image than at the background of the image. A core object region is selected as a region a lot of pixels of which have the significant color, and then it is grown by iteratively merging its neighbor regions and ignoring background regions. The final merging result called a central object may include different color-characterized regions and/or two or more connected objects of interest. The central objects automatically extracted with our method matched well with significant objects chosen manually.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Sungyoung Kim
    • 1
  • Soyoun Park
    • 2
  • Minhwan Kim
    • 2
  1. 1.Dept. of MultimediaChangwon CollegeChangwonKorea
  2. 2.Dept. of Computer EngineeringPusan National Univ.PusanKorea

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