GEOMETRIC CONSTRUCTIONS FOR PREDICTING HOUGH TRANSFORM PERFORMANCE

被引：23

作者：

SHAPIRO, SD

IANNINO, A

机构：

[1] Department of Electrical Engineering, Stevens Institute of Technology, Hoboken

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1979年 / 1卷 / 03期

关键词：

Edge linking; image processing; line detection; pattern recognition;

D O I：

10.1109/TPAMI.1979.4766929

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Graphical techniques are presented for estimating Hough transform performance for detecting straight lines in noisy digital pictures. The methods show explicitly the influence of noise due, for example, to quantizing errors on the accuracy of estimating the underlying sets of collinear points. Exact bounds are obtained for sets of collinear points showing that under quite general conditions only the endpoints are of significance. Theorems governing grid size for the accumulator method are given. Copyright © 1979 by The Institute of Electrical and Electronics Engineers, Inc.

引用

页码：310 / 317

页数：8

共 17 条

[1] GLOBAL TRANSFORMATIONS IN PATTERN RECOGNITION OF BUBBLE CHAMBER PHOTOGRAPHS [J].