Holefilled

Holefilled is a term used in digital data processing to describe a dataset, image, or model in which all holes or gaps have been filled. The term is often used in imaging, computer graphics, and data reconstruction to denote the completion of a previously incomplete region.

In image processing, holefilled refers to the result of a hole-filling or inpainting operation that fills internal gaps within a binary mask or within regions of interest. Techniques may include morphological operations, diffusion, exemplar-based inpainting, or Poisson reconstruction to produce a seamless, contiguous region.

In 3D meshes and GIS data, hole filling is used to repair meshes with missing faces or topological gaps, often by probing surrounding geometry and filling with new faces, projecting textures, or using volumetric methods to ensure watertight models. The term holefilled describes the repaired model.

Common approaches include flood fill, morphological closing, patch-based inpainting, Poisson surface reconstruction, and graph-cut methods. Choices depend on data type, desired fidelity, and computational constraints. Overoperation can blur details or introduce artifacts, so evaluations compare against ground truth or use structural metrics and visual inspection.

The term is a compound of hole and filled, and while widely used in practical contexts, there is no single canonical definition; interpretation varies by field. In practice, "holefilled" emphasizes the post-repair state rather than the specific technique used.