TY - JOUR
T1 - An approach to form recognition based on non-linear projections, search and optimization
AU - Brailovsky, Victor L.
PY - 1997/11
Y1 - 1997/11
N2 - With the help of the family of non-linear projections and fitness functions introduced here, and using a standard evolutionary programming procedure, a broad class of parametric geometric primitives may be discovered in an image. The generalization of the notion of Mahalanobis distance proposed here permits this approach to be extended to non-parametric primitives. The suggested approach is highly robust.
AB - With the help of the family of non-linear projections and fitness functions introduced here, and using a standard evolutionary programming procedure, a broad class of parametric geometric primitives may be discovered in an image. The generalization of the notion of Mahalanobis distance proposed here permits this approach to be extended to non-parametric primitives. The suggested approach is highly robust.
KW - Evolutionary programming
KW - Fitness function
KW - Generalized Mahalanobis distance
KW - Non-linear projections
UR - http://www.scopus.com/inward/record.url?scp=0031277144&partnerID=8YFLogxK
U2 - 10.1016/S0167-8655(97)00110-4
DO - 10.1016/S0167-8655(97)00110-4
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AN - SCOPUS:0031277144
SN - 0167-8655
VL - 18
SP - 1099
EP - 1107
JO - Pattern Recognition Letters
JF - Pattern Recognition Letters
IS - 11-13
ER -