Content-based object segmentation in video sequences

C. Tsougarakis, Sethuraman Panchanathan

Research output: Contribution to journalConference articlepeer-review


Motivated by the emerging video coding standard MPEG-4, this paper proposes a solution to address the problems of unsupervised object segmentation in images and video sequences, using color information. Although the human visual system is very sensitive to edge information, image segmentation is one of the most fundamental and yet complex tasks in image processing. The correct classification of different elements in a scene into different objects and the accurate extraction of their contours is crucial, since the performance of an object-tracking algorithm relies mainly on the segmentation results. In this paper we propose a novel algorithm for unsupervised object segmentation based on the combination of a region growing algorithm, clustering and a morphological opening by reconstruction operator using the inherent color information present in the image, in order to create a robust segmentation tool.

Original languageEnglish (US)
Pages (from-to)1269-1276
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Issue numberII
StatePublished - Jan 1 1999
EventProceedings of the 1999 Visual Communications and Image Processing - San Jose, CA, USA
Duration: Jan 25 1999Jan 27 1999

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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