Fast watershed aided by target detection

Huibao Lin, Jennie Si, Glen P. Abousleman

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

3 Scopus citations


The Watershed algorithm has been studied extensively, and has been applied to image segmentation due to its accuracy and robustness. However, the watershed requires a large amount of memory; and is computationally interactable for segmenting large images. In this paper, we introduce a novel hierarchical region-of-interest (ROI) detection scheme, which is used as a prelude to segmentation. With the help of the detection algorithm, watershed segmentation can be applied to the small detected regions, rather than to the entire image. Therefore, it can process large images by selectively segmenting ROIs. We focus on our new ROI detection algorithm, and how it is integrated into a system for large-image segmentation. We demonstrate the efficiency of the proposed scheme by processing a variety of images.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsD.P. Casasent, A.G. Tescher
Number of pages12
StatePublished - 2002
EventHybrid Image and Signal Processing VIII - Orlando, FL, United States
Duration: Apr 4 2002Apr 4 2002


OtherHybrid Image and Signal Processing VIII
Country/TerritoryUnited States
CityOrlando, FL


  • Hybrid image segmentation
  • Regions-of-interest
  • Target detection
  • Watershed

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics


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