Watershed segmentation algorithm: Difference between revisions
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A '''Watershed segmentation algorithm''' is an [[algorithm]] which utilizes [[Watershed (algorithm)|watershed]] segmentation to [[Segmentation (image processing)|segment images]]. <ref>http://www.ece.lsu.edu/gunturk/EE7730/L9.ppt</ref> |
A '''Watershed segmentation algorithm''' is an [[algorithm]] which utilizes [[Watershed (algorithm)|watershed]] segmentation to [[Segmentation (image processing)|segment images]]. <ref>http://www.ece.lsu.edu/gunturk/EE7730/L9.ppt</ref> |
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Revision as of 08:26, 21 April 2010
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A Watershed segmentation algorithm is an algorithm which utilizes watershed segmentation to segment images. [1]
Method
- Invert and filter the data
- Segment the data.
- Measure the attributes of each region.
- Select regions based on their attributes.
- Reiterate the algorithm (If necessarily).
Uses
Watershed segmentation has countless uses. The list provided here is just an example of functions, and is by no means exhaustive.
- Analysis of aerial photos from disaster area's to detect building collapses.
- Analysis of medical images to differentiate tumors from regular body tissue
References
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