一种图象中基元检测的新方法
A NEW METHOD OF DETECTION OF PRIMITIVES IN IMAGES
-
摘要: 在模式识别和机器视觉中,常常需要进行图象中的基元检测。本文以圆的检测为例提出了一种利用遗传算法进行基元检测的方法。实验结果表明,本文方法与通常的模板匹配和Hough变换相比速度大大提高。Abstract: 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.
-
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.
计量
- 文章访问数: 2118
- HTML全文浏览量: 134
- PDF下载量: 460
- 被引次数: 0