Watershed Algorithm
Separates overlapping objects in an image. Segmenting an image into distinct regions based on pixel intensity values
The watershed algorithm treats pixel intensities as a topographic surface where:
- High-intensity pixels represent peaks (elevations).
- Low-intensity pixels represent valleys (depressions).
- Convert the image to grayscale.
- Apply a threshold to create a binary image.
- Perform distance transform and find sure foreground objects.
- Detect unknown regions and mark the background and foreground.
- Apply the watershed algorithm to segment the image.
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