FUZZY HOUGH TRANSFORM

被引：80

作者：

HAN, JH

KOCZY, LT

POSTON, T

机构：

[1] TECH UNIV BUDAPEST,DEPT TELECOMMUN & TELEMAT,H-1111 BUDAPEST,HUNGARY

[2] POHANG INST SCI & TECHNOL,AUTOMAT RES CTR,POHANG 790600,SOUTH KOREA

来源：

PATTERN RECOGNITION LETTERS | 1994年 / 15卷 / 07期

关键词：

HOUGH TRANSFORM; SHAPE DETECTION; FUZZY GEOMETRY; FUZZY HOUGH TRANSFORM; DISTRIBUTED VOTING;

D O I：

10.1016/0167-8655(94)90068-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds shapes by approximately fitting the data points, which avoids the spurious shapes detected when using the conventional Hough transform. An efficient implementation of this method is found in detecting lines and circles.

引用

页码：649 / 658

页数：10

共 14 条

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