Fundamentals of digital image processing
Fundamentals of digital image processing
On Navigating Between Friends and Foes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
The symmetric eigenvalue problem
The symmetric eigenvalue problem
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Machine Vision: Theory, Algorithms, Practicalities
Machine Vision: Theory, Algorithms, Practicalities
Multiresolution Analysis in Extraction of Reference Lines from Documents with Gray Level Background
IEEE Transactions on Pattern Analysis and Machine Intelligence
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tool wear monitoring using a fast Hough transform of images of machined surfaces
Machine Vision and Applications
Convex hull based skew estimation
Pattern Recognition
Propagator method for an application to contour estimation
Pattern Recognition Letters
New orientation-based elimination approach for accurate line-detection
Pattern Recognition Letters
High-resolution algorithm for image segmentation in the presence of correlated noise
Journal of Electrical and Computer Engineering
Finding the best-fit bounding-boxes
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Multi-line fitting using two-stage iterative adaptive approach
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part I
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An analogy is made between each straight line in an image and a planar propagating wavefront impinging on an array of sensors so as to obtain a mathematical model exploited in recent high resolution methods for direction-of-arrival estimation in sensor array processing. The new so-called SLIDE (subspace-based line detection) algorithm then exploits the spatial coherence between the contributions of each line in different rows of the image to enhance and distinguish a signal subspace that is defined by the desired line parameters. SLIDE yields closed-form and high resolution estimates for line parameters, and its computational complexity and storage requirements are far less than those of the standard method of the Hough transform. If unknown a priori, the number of lines is also estimated in the proposed technique. The signal representation employed in this formulation is also generalized to handle grey-scale images as well. The technique has also been generalized to fitting planes in 3-D images. Some practical issues of the proposed technique are given.