Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
A Comprehensive Image Processing Suite for Book Re-mastering
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A Ladder-Structured Decision Tree for Recognizing Tumors in Chest Radiographs
IEEE Transactions on Computers
Detection of Ellipses by a Modified Hough Transformation
IEEE Transactions on Computers
Detection of elliptic and linear edges by searching two parameter spaces
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Exploiting inherent parallelisms for accelerating linear Hough transform
IEEE Transactions on Image Processing
Image Features Based on Local Hough Transforms
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Real-time FPGA implementation of Hough Transform using gradient and CORDIC algorithm
Image and Vision Computing
Lane following and lane departure using a linear-parabolic model
Image and Vision Computing
Gradient angle histograms for efficient linear Hough transform
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Real-time line detection using accelerated high-resolution Hough transform
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
EDLines: A real-time line segment detector with a false detection control
Pattern Recognition Letters
An accurate method for line detection and manhattan frame estimation
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Resource-efficient FPGA architecture and implementation of hough transform
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Real-time detection of lines using parallel coordinates and CUDA
Journal of Real-Time Image Processing
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The recovery of straight picture edges from digitizations of scenes containing polyhedra ("line finding") is central to the functioning of scene analysis programs. While recognizing that recovery properly involves a computational mobilization of a great deal of knowledge-supported context, there remain some basic issues of representation which govern the way in which the primary data grey levels are addressed. The paper describes a parametric representation of straight picture edges and its procedural deployment in the recovery of edges from digitizations of scenes whose contents are essentially polyhedra with strong visible shadows.