DocumentCode
1115245
Title
Geometric Constructions for Predicting Hough Transform Performance
Author
Shapiro, Stephen D. ; Iannino, Anthony
Author_Institution
Department of Electrical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030.
Issue
3
fYear
1979
fDate
7/1/1979 12:00:00 AM
Firstpage
310
Lastpage
317
Abstract
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.
Keywords
Economic forecasting; Image processing; Image recognition; Joining processes; Microprocessors; Neoplasms; Noise shaping; Space technology; X-ray detection; X-ray detectors; Edge linking; image processing; line detection; pattern recognition;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.1979.4766929
Filename
4766929
Link To Document