Shapes Recognition Using the Straight Line Hough Transform: Theory and Generalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
A Highly Selective HT based Algorithm for Detecting Extended, Almost Rectilinear Shapes
CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
A Stereoscopic Vision System Guiding an Autonomous Helicopter for Overhead Power Cable Inspection
RobVis '01 Proceedings of the International Workshop on Robot Vision
Image Features Based on Local Hough Transforms
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
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The paper presents a new transform, called Vector-Gradient Hough Transform, for identifying elongated shapes in gray-scale images. This goal is achieved not only by collecting information on the edges of the objects, but also by reconstructing their transversal profile of luminosity. The main features of the new approach are related to its vector space formulation and the associated capability of exploiting all the vector information of the luminosity gradient.