FlatCV

Segmentation

Watershed

Watershed with 2 Markers for 1 White Ring

Input	Output

The image is a white ring in the center of a black background. Running the following watershed segmentation command segments the image into 2 regions:

• Disk in the center with a radius that goes to the middle of the rings edge
• The rest of the image

$ ./flatcv imgs/elevation_2_basins_1_ring.png watershed 0x0 150x100 imgs/elevation_2_basins_1_ring_watershed.png
Loaded image: 300x200 with 1 channels
Executing pipeline with 1 operations:
Applying operation: watershed with parameter: 0x0 150x100
  → Completed in \d+.\d+ ms \(output: 300x200\) (regex)
Final output dimensions: 300x200
Successfully saved processed image to 'imgs/elevation_2_basins_1_ring_watershed.png'

Watershed with 2 Markers for 2 White Rings

Input	Output

The image contains 2 white rings in the center of a black background. Running the following watershed segmentation command segments the image into 2 regions:

• Disk in the center with a radius that goes to the middle of the black gap between the rings
• The rest of the image

$ ./flatcv imgs/elevation_2_basins_2_rings.png watershed 0x0 150x100 imgs/elevation_2_basins_2_rings_watershed.png
Loaded image: 300x200 with 1 channels
Executing pipeline with 1 operations:
Applying operation: watershed with parameter: 0x0 150x100
  → Completed in \d+.\d+ ms \(output: 300x200\) (regex)
Final output dimensions: 300x200
Successfully saved processed image to 'imgs/elevation_2_basins_2_rings_watershed.png'

Watershed with 2 Markers for a Receipt

Input	Output

The image contains the elevation map of a photo of a receipt. Running the following watershed segmentation command segments the image into 2 regions:

• The receipt itself
• The background

$ ./flatcv imgs/elevation_2_basins_receipt.png watershed 0x0 128x128 imgs/elevation_2_basins_receipt_watershed.png
Loaded image: 256x256 with 1 channels
Executing pipeline with 1 operations:
Applying operation: watershed with parameter: 0x0 128x128
  → Completed in \d+.\d+ ms \(output: 256x256\) (regex)
Final output dimensions: 256x256
Successfully saved processed image to 'imgs/elevation_2_basins_receipt_watershed.png'

Watershed with 3 Markers

Input	Output

The image is a horizontal gradient from white to black and back to white. There is also a white disk with black edge in the center. Running the following watershed segmentation command segments the image into three regions:

• Left side
• Center
• Right side

$ ./flatcv imgs/elevation_3_basins_gradient.png watershed 0x0 150x100 299x0 imgs/elevation_3_basins_gradient_watershed.png
Loaded image: 300x200 with 1 channels
Executing pipeline with 1 operations:
Applying operation: watershed with parameter: 0x0 150x100 299x0
  → Completed in \d+.\d+ ms \(output: 300x200\) (regex)
Final output dimensions: 300x200
Successfully saved processed image to 'imgs/elevation_3_basins_gradient_watershed.png'