Opto-Electronic Engineering, Volume. 32, Issue 8, 64(2005)

Improved multi-threshold image segmentation algorithm based on potential function clustering

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    References(4)

    [1] [1] OLGA R P, LUCIANO S. New improvements to range image segmentation by edge detection [J]. IEEE Signal Processing Letters,2002,9(2):43-45.

    [3] [3] ZHANG Y J. A review of recent evaluation methods for image segmentation[A]. Proceedings of the International Symposium on Signal Processing and its Applications[C]. Kuala Lumpur,Malaysia:IEEE,2001. 148-151.

    [5] [5] FERNANDES D N,STEDILE J P,NAVAUX P O A. Architecture of oscillatory neural network for image segmentation[A]. Proceedings of the 14th Symposium on Computer Architecture and High Performance Computing[C]. Porto Alegre,Brazil:IEEE,2002. 29-36.

    [6] [6] MARKOU M,SINGH S,SHARMA M. Neural network analysis of MINERVA scene analysis benchmark[A]. Proceedings of 11th International Conference on Image Analysis and Processing[C]. Palermo,Italy:IEEE,2001. 267-272.

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    [in Chinese], [in Chinese], [in Chinese]. Improved multi-threshold image segmentation algorithm based on potential function clustering[J]. Opto-Electronic Engineering, 2005, 32(8): 64

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    Paper Information

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    Received: Mar. 9, 2004

    Accepted: --

    Published Online: Nov. 14, 2007

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