Machine vision
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Fast and robust techniques for detecting straight line segments using local models
Pattern Recognition Letters
Straight-line-based primitive extraction in grey-scale object recognition
Pattern Recognition Letters
Shape Detection in Computer Vision Using the Hough Transform
Shape Detection in Computer Vision Using the Hough Transform
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Memory Efficient Vision Based Line Feature Extraction for Tiny Mobile Robots
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
A Swift and Memory Efficient Hough Transform for Systems with Limited Fast Memory
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
New orientation-based elimination approach for accurate line-detection
Pattern Recognition Letters
Vectorization of thick digital lines using Farey sequence and geometric refinement
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
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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.