A high speed algorithm for circular object location
Pattern Recognition Letters
CVGIP: Image Understanding
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Hough Transform Modified by Line Connectivity and Line Thickness
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 two-step circle detection algorithm from the intersecting chords
Pattern Recognition Letters
Digital Image Processing
Shape segmentation using local slippage analysis
Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing
An effective voting method for circle detection
Pattern Recognition Letters
3D Shape Recognition and Reconstruction Based on Line Element Geometry
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Spherical parameter detection based on hierarchical Hough transform
Pattern Recognition Letters
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
A novel Hough transform algorithm for multi-objective detection
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Hi-index | 0.00 |
A novel algorithm is proposed to locate the sets of adjacent co-spherical triangles for a given object, which enables us to detect spheres and spherical parts constituting the object. An extension of the idea of Hough transform has been used, aided by axial discretization and restricted searching, along with the geometric data structure of doubly connected edge list. The algorithm has been analyzed and shown to achieve significant efficiency in space and run-time. On testing the algorithm with various 3D objects, it is found to produce the desired result. Effects of different input parameters have been explained and the robustness of the algorithm has been shown for rough/noisy surfaces.