Fusion

Fusion combines the pre-transformed views into a single output image. Built-in methods are selected with fusion.fuse(..., fusion_func=..., weights_func=...). Custom fusion and weight functions are described in the Extension API section.

Fusion methods

weighted_average_fusion (default)

• Uses blending weights with optional extra fusion_weights.
• Good general-purpose choice for smooth transitions across overlaps.

simple_average_fusion

• Averages valid pixels (ignores NaNs), without blending weights.
• Useful as a baseline when weights are not desired.

max_fusion

• Pixel-wise maximum across views.
• Useful for sparse or bright features where max intensity is preferred.

Blending weights

fusion.fuse computes smooth blending weights using weights.get_blending_weights. The falloff is controlled by blending_widths (physical units per dimension) and normalized across views.

Fusion weights

Additional per-view weights can be supplied via weights_func when the fusion method accepts fusion_weights.

• weights.content_based: Content-based weights (Preibisch et al.) computed from local contrast; configure with sigma_1 and sigma_2.