GENETIC CONTOUR MATCHING

被引：28

作者：

TOET, A ^{[1
]}

HAJEMA, WP ^{[1
]}

机构：

[1] MINIST DEF,DEBKL DCAKL,2509 LV THE HAGUE,NETHERLANDS

来源：

PATTERN RECOGNITION LETTERS | 1995年 / 16卷 / 08期

关键词：

OBJECT DETECTION; CHAMFER METRIC; EDGE TRANSFORM; DISTANCE TRANSFORM; CONTOUR MODEL; CONTOUR MATCHING; GENETIC ALGORITHMS; OPTIMIZATION;

D O I：

10.1016/0167-8655(95)00015-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Object recognition can be formulated as an optimization problem. The objective function measures for instance the evidential support for any particular projection of the parameterized object contour model onto the input image. A genetic algorithm can be used to find a set of parameters which provide an optimal interpretation of the image in terms of the model. Preliminary test results demonstrate the feasibility of the proposed approach.

引用

页码：849 / 856

页数：8

共 15 条

[1] STOCHASTIC OPTIMIZATION ALGORITHMS - AN APPLICATION TO PATTERN-MATCHING [J].