1995 International Conference on Image Processing (ICIP'95) - Volume 2 Genetic algorithms for object recognition in a complex scene Washington D.C. October 23-October 26 ISBN: 0-8186-7310-9
A realworld computer vision module must deal with a wide variety of environmental parameters. Object recognition, one of the major tasks of this vision module, typically requires a preprocessing step to locate objects in the scenes that ought to be recognized. Genetic algorithms are a search technique for dealing with a very large search space, such as the one encountered in image segmentation or object recognition. The article describes a technique for using genetic algorithms to combine the image segmentation and object recognition steps for a complex scene. The results show that this approach is a viable method for successfully combining the image segmentation and object recognition steps for a computer vision module.
Index Terms:
computer vision; image segmentation; object recognition; genetic algorithms; search problems; object recognition; complex scene; genetic algorithms; computer vision module; environmental parameters; preprocessing step; search technique; image segmentation
Citation:
D.L. Swets, B. Punch, J. Weng, "Genetic algorithms for object recognition in a complex scene," icip, vol. 2, pp.2595, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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