Skip to main content
Article
Local lines: a linear time line detector
Pattern Recognition Letters (2003)
  • Sharlee Climer, Washington University in St. Louis
  • Sanjiv K. Bhatia, Southern Illinois University Edwardsville
Abstract
This paper introduces LOCAL LINES––a robust, high-resolution line detector that operates in linear time. LOCAL LINES tolerates noisy images well and can be optimized for various specialized applications by adjusting the values of configurable parameters, such as mask values and mask size. As described in this paper, the resolution of LOCAL LINES is the maximum that can be justified for pixelized data. Despite this high resolution, LOCAL LINES is of linear asymptotic complexity in terms of number of pixels in an image. This paper also provides a comparison of LOCAL LINES with the prevalent Hough Transform Line Detector.
Keywords
  • Line detector,
  • Linear complexity,
  • Low level feature extraction
Publication Date
October 1, 2003
DOI
10.1016/S0167-8655(03)00055-2
Citation Information
Sharlee Climer and Sanjiv K. Bhatia. "Local lines: a linear time line detector" Pattern Recognition Letters Vol. 24 Iss. 14 (2003) p. 2291 - 2300
Available at: http://works.bepress.com/sharlee-climer/11/