IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Hough transform for line recognition complexity of evidence accumulation and cluster detection
Computer Vision, Graphics, and Image Processing
On improving the accuracy of the Hough transform
Machine Vision and Applications
On the Sensitivity of the Hough Transform for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A probabilistic Hough transform
Pattern Recognition
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Modern approaches in detection of page separators for image clustering
WSEAS Transactions on Computers
Line detection techniques for automatic content conversion systems
WSEAS Transactions on Information Science and Applications
3D mesh simplification techniques for image-page clusters detection
WSEAS Transactions on Information Science and Applications
Document layout analyze using hierarchical processing
VIS'08 Proceedings of the 1st WSEAS international conference on Visualization, imaging and simulation
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Line Detection is an important problem that arises in automatic content conversion systems (among other domains). Such a system is used to generate digital documents from hard copies of books, newspapers, etc. Given a black and white image, usually obtained from a scanning device, our task is to identify groups of pixels which form horizontal or vertical lines. There are various techniques used to solve this problem. In this paper we analyze a common approach (using the Hough transform), introduce a new method and compare the results.