Image segmentation using watersheds guided by edge tracing

Lei Ma, Jennie Si, G. P. Abousleman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


We present two image segmentation algorithms. The proposed algorithms are the integrated watershed and adjacent region merging (IWARM) algorithm and the self-guided watershed and ARM (SGWARM) algorithm. Due to the integration of noise reduction and watersheds, IWARM saves up to 25 percent processing time over existing leading algorithms such as seeded region merging (SRM) algorithm and region adjacency graph (RAG) algorithm on a variety of test images. The IWARM algorithm also provides better segmentation accuracy over the two mentioned algorithms. SGWARM was developed to improve processing speed by eliminating any "out-of-interest" regions before they are provided to IWARM for further processing. Both algorithms have been tested extensively and are shown to provide excellent performance using aerial and MRI imagery.

Original languageEnglish (US)
Title of host publication2001 International Conferences on Info-Tech and Info-Net: A Key to Better Life, ICII 2001 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)0780370104, 9780780370104
StatePublished - 2001
EventInternational Conferences on Info-Tech and Info-Net, ICII 2001 - Beijing, China
Duration: Oct 29 2001Nov 1 2001


OtherInternational Conferences on Info-Tech and Info-Net, ICII 2001

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Computers in Earth Sciences
  • Control and Systems Engineering
  • Instrumentation

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