Robust line segment extraction using genetic algorithms
Robust line segment extraction using genetic algorithms
- Author(s): M. Mirmehdi ; P.L. Palmer ; J. Kittler
- DOI: 10.1049/cp:19970871
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- Author(s): M. Mirmehdi ; P.L. Palmer ; J. Kittler Source: 6th International Conference on Image Processing and its Applications, 1997 p. 141 – 145
- Conference: 6th International Conference on Image Processing and its Applications
- DOI: 10.1049/cp:19970871
- ISBN: 0 85296 692 X
- Location: Dublin, Ireland
- Conference date: 14-17 July 1997
- Format: PDF
Success in scene interpretation in high level computer vision depends heavily on the quality of features derived from the low level stages of processing. We describe an optimisation process for robust low level feature extraction based on genetic optimisation. The fitness function is a performance measure which reflects the quality of an extracted set of features. We present some results and compare them with a hill-climbing optimisation approach.
Inspec keywords: genetic algorithms; feature extraction; computer vision; image segmentation
Subjects: Optical information, image and video signal processing; Optimisation techniques; Optimisation techniques; Pattern recognition; Computer vision and image processing techniques
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