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
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
On the Hough Technique for Curve Detection
IEEE Transactions on Computers
Ellipse detection using a randomized hough transform based on edge segment merging scheme
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Feature extraction of epiluminescence microscopic images by iterative segmentation algorithm
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Entity clustering using 3D mesh simplification
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Automatic text clustering and classification based on font geometrical characteristics
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
A study on multiple objects detection, loading and control in video for augmented reality
WSEAS Transactions on Computers
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In an image processing application there is often need to identify and extract different morphological elements such as characters or lines. This paper studies one general method of identifying vertical or horizontal lines. However, the techniques described here can be used to detect other analytical objects like circles, or even ellipses. Line Detection is an important add-on to an automatic content conversion system which builds digital documents from scanned papers. After identifying lines, other layout elements can be extracted: columns, paragraphs, tables, headers. The present paper is a study of the Hough Transform for which several new enhancements are introduced.