RT Journal Article
A1 S.Y. Chen
A1 J. Zhang
A1 Q. Guan
A1 S. Liu

PB iet
T1 Detection and amendment of shape distortions based on moment invariants for active shape models
JN IET Image Processing
VO 5
IS 3
SP 273
OP 285
AB The active shape model (ASM) is an ever-increasingly important method for object modelling, shape recognition and target localisation. During the process of shape fitting, however, distortions and displacements often occur when the target is not clear or with defects, and there is a lack of effective amendment strategies in ASM. In this study, inspired by physics, the boundary moment invariants are employed to resolve this difficulty. Moment invariants have been introduced into ASM for the first time for distortion detection and shape amendment. Using the proposed strategy, distortions are effectively avoided and the accuracy of the fitting result is obviously increased with a little extra time. Finally, the results of the authors' practical implementation prove its satisfactory work.
K1 target localisation
K1 shape recognition
K1 shape fitting
K1 shape amendment
K1 shape distortion detection
K1 ASM
K1 object modelling
K1 active shape models
K1 moment invariants
DO https://doi.org/10.1049/iet-ipr.2007.0110
UL https://digital-library.theiet.org/;jsessionid=e1ux9p6o0n0d.x-iet-live-01content/journals/10.1049/iet-ipr.2007.0110
LA English
SN 1751-9659
YR 2011
OL EN