Title :
Hu´s moment invariants: how invariant are they under skew and perspective transformations?
Author :
Sivaramakrishna, Radhika ; Shashidhar, N.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Abstract :
Hu´s (1962) moment invariants are used in pattern recognition to provide a scale, orientation and position invariant characterization of the shape of a given object. In practical situations, objects may undergo other types of deformations, most commonly skew and perspective distortions. This paper explores the behaviour of Hu´s invariants under these distortions
Keywords :
image matching; method of moments; object recognition; Hu´s moment invariants; orientation; pattern recognition; perspective transformations; position invariant characterization; scale; shape; skew; Focusing; Heart; Libraries; Pattern matching; Pattern recognition; Pixel; Shape; Testing;
Conference_Titel :
WESCANEX 97: Communications, Power and Computing. Conference Proceedings., IEEE
Conference_Location :
Winnipeg, Man.
Print_ISBN :
0-7803-4147-3
DOI :
10.1109/WESCAN.1997.627156
