Hough space transformations for discrimination and distortion estimation
Computer Vision, Graphics, and Image Processing
Curved object location by Hough transformations and inversions
Pattern Recognition
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Reconstructing a function from its set of tangent lines
American Mathematical Monthly
Curve description using the inverse Hough transform
Pattern Recognition
Reconstructing Convex Sets from Support Line Measurements
IEEE Transactions on Pattern Analysis and Machine Intelligence
A decomposable parameter space for the detection of ellipses
Pattern Recognition Letters
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Computer Vision
Feature extraction in shape recognition using segmentation of the boundary curve
Pattern Recognition Letters
The Vector-Gradient Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Planar Object Detection under Scaled Orthographic Projection
DGCI '00 Proceedings of the 9th International Conference on Discrete Geometry for Computer Imagery
A BIST-based Solution for the Diagnosis of Embedded Memories Adopting Image Processing Techniques
Journal of Electronic Testing: Theory and Applications
Symbolic representation of two-dimensional shapes
Pattern Recognition Letters
A Rotation Angle Calculation Method about Bearing Images Based on Edge Image Correlations
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Concept, content and the convict
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Image registration by simulating human vision
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Journal on Computing and Cultural Heritage (JOCCH)
Entropic quadtrees and mining mars craters
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
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A shape matching technique based on the straight line Hough transform (SLHT) is presented. In the theta - rho space, the transform can be expressed as the sum of the translation term and the intrinsic term. This formulation allows the translation, rotation, and intrinsic parameters of the curve to be easily decoupled. A shape signature, called the scalable translation invariant rotation-to-shifting (STIRS) signature, is obtained from the theta - rho space by computing the distances between pairs of points having the same theta value. This signature is invariant to translation and can be easily normalized, and rotation in the image space corresponds to circular shifting of the signature. Matching two signatures only amounts to computing a 1D correlation. The height and location of a peak (if it exists) indicate the similarity and orientation of the test object with respect to the reference object. The location of the test object is obtained, once the orientation is known, by an inverse transform (voting) from the theta - rho space to the x-y plane.