Hough transform algorithms for mesh-connected SIMD parallel processors
Computer Vision, Graphics, and Image Processing
A survey of the Hough transform
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On Recognizing and Positioning Curved 3-D Objects from Image Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust computer vision: a least median of squares based approach
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Robust Clustering with Applications in Computer Vision
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Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Model-based image interpretation using genetic algorithms
Image and Vision Computing - Special issue: BMVC 1991
The Multiple Window Parameter Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting geometric primitives
CVGIP: Image Understanding
System Identification through Simulated Evolution: A Machine Learning Approach to Modeling
System Identification through Simulated Evolution: A Machine Learning Approach to Modeling
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual organization based computational model for robust segmentation of moving objects
Computer Vision and Image Understanding
Application of Genetic Algorithms to 3-D Shape Reconstruction in an Active Stereo Vision System
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Genetic Algorithm for Weights Assignment in Dissimilarity Function for Trademark Retrieval
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
A Novel Robust Statistical Design of the Repeated Genetic Algorithm
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Learning to Form Large Groups of Salient Image Features
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm
Pattern Recognition Letters
A Fast Efficient Parallel Hough Transform Algorithm on LARPBS
The Journal of Supercomputing
Circle detection on images using genetic algorithms
Pattern Recognition Letters
Evaluating Harker and O'Leary's distance approximation for ellipse fitting
Pattern Recognition Letters
Affine invariant matching of broken boundaries based on particle swarm optimization
Image and Vision Computing
Automatic circle detection on images with an adaptive bacterial foraging algorithm
Proceedings of the 10th annual conference on Genetic and evolutionary computation
ACM SIGARCH Computer Architecture News
Multiple ellipses detection in noisy environments: A hierarchical approach
Pattern Recognition
A robust iterative hypothesis testing design of the repeated genetic algorithm
Image and Vision Computing
Bucketing techniques in robust regression for computer vision
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Hill climbing algorithm for random sample consensus methods
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Quantization-free parameter space reduction in ellipse detection
Expert Systems with Applications: An International Journal
Gender recognition using PCA and DCT of face images
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Automatic multiple circle detection based on artificial immune systems
Expert Systems with Applications: An International Journal
Circle detection using electro-magnetism optimization
Information Sciences: an International Journal
Journal of Signal Processing Systems
Circle Detection by Harmony Search Optimization
Journal of Intelligent and Robotic Systems
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Extracting geometric primitives from geometric sensor data is an important problem in model-based vision. A minimal subset is the smallest number of points necessary to define a unique instance of a geometric primitive. A genetic algorithm based on a minimal subset representation is used to perform primitive extraction. It is shown that the genetic approach is an improvement over random search and is capable of extracting more complex primitives than the Hough transform.