Title :
Landmark methods for forms without landmarks: localizing group differences in outline shape
Author :
Bookstein, Fred L.
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
Abstract :
Procrustes superposition and the thin-plate spline each principally developed within the context of discrete landmark data, can be combined in a novel adaptive filter for detecting localized group differences of outline shape
Keywords :
adaptive filters; adaptive signal processing; medical image processing; splines (mathematics); Procrustes superposition; discrete landmark data; forms without landmarks; group differences localization; landmark methods; localized group differences detection; outline shape; thin-plate spline; Adaptive filters; Biomedical imaging; Colored noise; Detectors; Image analysis; Large-scale systems; Low pass filters; Shape; Signal detection; Spline;
Conference_Titel :
Mathematical Methods in Biomedical Image Analysis, 1996., Proceedings of the Workshop on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-8186-7368-0
DOI :
10.1109/MMBIA.1996.534080