Geometrical parameters extraction from discrete paths
DCGA '96 Proceedings of the 6th International Workshop on Discrete Geometry for Computer Imagery
Optimal Time Computation of the Tangent of a Discrete Curve: Application to the Curvature
DCGI '99 Proceedings of the 8th International Conference on Discrete Geometry for Computer Imagery
Digital straightness: a review
Discrete Applied Mathematics - The 2001 international workshop on combinatorial image analysis (IWCIA 2001)
A simple algorithm for digital line recognition in the general case
Pattern Recognition
Fast, accurate and convergent tangent estimation on digital contours
Image and Vision Computing
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Optimal blurred segments decomposition of noisy shapes in linear time
Computers and Graphics
Fast Polygonal Approximation of Digital Curves Using Relaxed Straightness Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust line detection using two-orthogonal direction image scanning
Computer Vision and Image Understanding
| Hi-index | 0.00 |
The recognition of discrete straight segments is a significant topic in the field of discrete geometry and for many applications dealing with geometric feature extraction. It can be performed from noisy binary data using the concept of blurred segments [3,2]. However, to our best knowledge, these algorithms have never been defined to directly extract straight segments in gray level images. This article proposes a solution to extend the recognition by using gray level image information. Although initially intended to be implemented within a semi-automatic line selection tool used in an interactive 3D modeling application, it also meets more general parameter extraction requirements.