Watershed Segmentation

def watershed_image_filter(input, level=0.0, threshold=0.0):
    """
    Classic watershed segmentation.
    
    Parameters:
    - input: itk.Image - Input image (typically gradient magnitude)
    - level: float - Flood level
    - threshold: float - Threshold for minima
    
    Returns:
    itk.Image - Labeled watershed segmentation
    """

class WatershedImageFilter:
    """Classic watershed segmentation algorithm."""
    
    def SetLevel(self, level):
        """Set the flood level."""
    
    def SetThreshold(self, threshold):
        """Set the threshold for minima."""

def morphological_watershed_image_filter(input, level=0.0, mark_watershed_line=True, fully_connected=False):
    """
    Morphological watershed segmentation.
    
    Parameters:
    - input: itk.Image - Input image
    - level: float - Flood level
    - mark_watershed_line: bool - Mark watershed lines
    - fully_connected: bool - Use full connectivity
    
    Returns:
    itk.Image - Labeled segmentation
    """

class MorphologicalWatershedImageFilter:
    """Morphological watershed segmentation."""

def morphological_watershed_from_markers_image_filter(input, markers, mark_watershed_line=True, fully_connected=False):
    """
    Watershed from marker image.
    
    Parameters:
    - input: itk.Image - Input image
    - markers: itk.Image - Marker image with labeled regions
    - mark_watershed_line: bool - Mark watershed lines
    - fully_connected: bool - Use full connectivity
    
    Returns:
    itk.Image - Labeled segmentation
    """

def isolated_watershed_image_filter(input, seed1, seed2, threshold=0.0, isolation_value_tolerance=0.001):
    """
    Watershed that isolates two regions.
    
    Parameters:
    - input: itk.Image - Input image
    - seed1: itk.Index - First seed point
    - seed2: itk.Index - Second seed point
    - threshold: float - Threshold value
    - isolation_value_tolerance: float - Tolerance for isolation
    
    Returns:
    itk.Image - Binary segmentation
    """

import itk

# Load image and compute gradient
image = itk.imread('input.png', itk.F)
gradient = itk.gradient_magnitude_image_filter(image)

# Watershed segmentation
watershed = itk.watershed_image_filter(gradient, level=0.0)
itk.imwrite(watershed, 'watershed.png')

import itk

# Load image
image = itk.imread('input.png', itk.F)

# Create markers (e.g., from seeds or other segmentation)
markers = itk.imread('markers.png', itk.UL)

# Compute gradient
gradient = itk.gradient_magnitude_image_filter(image)

# Watershed from markers
segmented = itk.morphological_watershed_from_markers_image_filter(
    gradient,
    markers,
    mark_watershed_line=True
)
itk.imwrite(segmented, 'marker_watershed.png')