Contrastcurved
Contrastcurved is a term used in image processing to describe a family of algorithms that adjust image contrast with explicit consideration of surface or edge curvature. The central idea is that perceptual contrast can be enhanced more effectively when the local image geometry, particularly the curvature of structures, is taken into account rather than treated uniformly across the image.
Technically, contrastcurved methods estimate curvature maps from image data, typically via second-order derivatives such as the
Applications include medical imaging to highlight vessels and folds, geospatial imagery to delineate curved boundaries, and
Advantages include improved delineation of curved structures and better detail preservation along contours. Limitations involve computational
Origins are traceable to curvature-based image analysis and Hessian-based feature methods developed in the late 1990s
See also: contrast enhancement, curvature estimation, Hessian matrix, structure tensor, edge-preserving filtering.