A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Hough transform: A hierarchical approach
Computer Vision, Graphics, and Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A combinatorial Hough transform
Pattern Recognition Letters
A new curve detection method: randomized Hough transform (RHT)
Pattern Recognition Letters
A hierarchical approach to line extraction based on the Hough transform
Computer Vision, Graphics, and Image Processing
A probabilistic Hough transform
Pattern Recognition
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Automatic line matching across views
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Accurate and robust line segment extraction by analyzing distribution around peaks in Hough space
Computer Vision and Image Understanding
A simple and robust line detection algorithm based on small eigenvalue analysis
Pattern Recognition Letters
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Images which have a lot of textured regions make the result of Hough transform (HT) very poor. This paper presents an improved HT that deals with such a textured image by diminishing the effect of noise edges and using weighted voting score. The method first eliminates the noise edges resulted from textured regions; then, the method casts votes for edges upon the accumulator array with weight score in accordance with the number of sequential votes. Our modified HT is efficient in that it produces important lines first such as verge of building, avoiding improper lines taken from the noise edges.