Automatic marker detection for blob images

António Dos Anjos*, Hamid Reza Shahbazkia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

1 Citation (Scopus)


The direct application of the Watershed Transform to images with moderate contrast between foreground and background often produces segmentation where the segmented areas will still have a lot of background included. One typical example of this is the segmentation of blob images. To narrow the border of these areas, the Watershed Transform may be applied to the gradient magnitude of the image, but it results in over-segmentation. Marker Controlled Watershed Transform is one of the best approaches for the segmentation of this kind of images, however, in most cases it is impracticable to manually select the markers. This paper presents a technique that allows the automatic detection of markers on blob images and subsequent segmentation.

Original languageEnglish
Title of host publication2009 Workshop on Applications of Computer Vision, WACV 2009
PublisherIEEE Press
ISBN (Print)9781424454976
Publication statusPublished - 2009
Event2009 Workshop on Applications of Computer Vision, WACV 2009 - Snowbird, UT, United States of America
Duration: 07 Dec 200908 Dec 2009


Conference2009 Workshop on Applications of Computer Vision, WACV 2009
Country/TerritoryUnited States of America
CitySnowbird, UT
Period07 Dec 200908 Dec 2009


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