itkwasm_compare_images.compare_double_images¶

Module Contents¶

Functions¶

compare_double_images

Compare double pixel type images with a tolerance for regression testing.

API¶

itkwasm_compare_images.compare_double_images.compare_double_images(test_image: itkwasm.Image, baseline_images: List[itkwasm.Image] = [], difference_threshold: float = 0, spatial_tolerance: float = 1e-08, radius_tolerance: int = 0, number_of_pixels_tolerance: int = 0, ignore_boundary_pixels: bool = False) → Tuple[Any, itkwasm.Image, itkwasm.Image]¶

Compare double pixel type images with a tolerance for regression testing.

Parameters:

  • test_image (Image) – The input test image

  • baseline_images (Image) – Baseline images to compare against

  • difference_threshold (float) – Intensity difference for pixels to be considered different.

  • spatial_tolerance (float) – Tolerance for comparing spatial overlap (origin and direction matrix).

  • radius_tolerance (int) – Radius of the neighborhood around a pixel to search for similar intensity values.

  • number_of_pixels_tolerance (int) – Number of pixels that can be different before the test fails.

  • ignore_boundary_pixels (bool) – Ignore boundary pixels. Useful when resampling may have introduced difference pixel values along the image edge.

Returns:

Metrics for the baseline with the fewest number of pixels outside the tolerances.

Return type:

Any

Returns:

Absolute difference image

Return type:

Image

Returns:

Unsigned char, 2D difference image for rendering

Return type:

Image