Mathematical Models for Automatic Line Detection
- 1 January 1973
- journal article
- Published by Association for Computing Machinery (ACM) in Journal of the ACM
- Vol. 20 (1) , 62-80
- https://doi.org/10.1145/321738.321744
Abstract
A particular decision-theoretic approach to the problem of detecting straight edges and lines in pictures is discussed. A model is proposed of the appearance of scenes consisting of prismatic solids, taking into account blurring, noise, and smooth variations in intensity over faces. A suboptimal statistical decision procedure is developed for the identification of a line within a narrow band in the field of view, given an array of intensity values from within the band. The performance of this procedure is illustrated and discussed.Keywords
This publication has 5 references indexed in Scilit:
- Edge and Curve Detection for Visual Scene AnalysisIEEE Transactions on Computers, 1971
- An Operator Which Locates Edges in Digitized PicturesJournal of the ACM, 1971
- A nonlinear edge detection techniqueProceedings of the IEEE, 1970
- Picture Processing by ComputerACM Computing Surveys, 1969
- Feature extraction: A surveyProceedings of the IEEE, 1969