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Volume 19 Issue 2
Mar.  1997
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Liu Jianzhuang, Xie Weixin, Gao Xinbo. A NEW METHOD OF DETECTION OF PRIMITIVES IN IMAGES[J]. Journal of Electronics & Information Technology, 1997, 19(2): 183-189.
Citation: Liu Jianzhuang, Xie Weixin, Gao Xinbo. A NEW METHOD OF DETECTION OF PRIMITIVES IN IMAGES[J]. Journal of Electronics & Information Technology, 1997, 19(2): 183-189.

A NEW METHOD OF DETECTION OF PRIMITIVES IN IMAGES

  • Received Date: 1994-08-29
  • Rev Recd Date: 1995-01-23
  • Publish Date: 1997-03-19
  • Detection of primitives in images is often needed in pattern recognition and machine vision. This paper proposes a method for the search of circles in images using a genetic algorithm, as an example of detection of primitives. The experimental results show that compared to the conventional template matching and Hough transform, the proposed method takes much less computational time.
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  • Rosenfeld A, Kak A C. Digital Picture Processing. Second Edition, New York: Academic Press, 1982.[2]Illingworth J, Kittler J. A survey of the Hough transform[J].Comput. Vision Graphics Image Process.1988, 44(1):87-116[3]Holland J H. Adaption in Natural and Artificial Systems. Ann Arbor, MI: Univ. Mich. Press, 1975.[4]Goldberg D E. Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley, 1989.[5]Davis L. Handbook of Genetic Algorithms. New York: Van Nostrand Reinhold, 1991.[6]Kristinsson K, Dumont G A. System identification and control using genetic algorithms. IEEE Trans. on SMC, 1992, SMC-22(5): 1033-1046.[7]Siedleckl W, Sklansky J. A note on genetic algorithms for large-scale feature selection[J].Pattern Recognition Lett.1989, 10(5):335-347[8]Maniezzo V. Genetic evolution of the topology and weight distribution of neural networks. IEEE Trans. on NN, 1994, NN-5(1): 39-53.[9]刘健庄,等.聚类分析的遗传算法方法电子学报,1995,23(11): 81-83.[10]刘健庄.微体古生物的自动识别.西安电子科技大学学报,1989, 16(1): 17-25.
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