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

[in Chinese]; [in Chinese]; [in Chinese]

Journals >Opto-Electronic Engineering >Volume 32 >Issue 8 >Page 64 > Article

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

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

[in Chinese]^1、2, [in Chinese]¹, and [in Chinese]¹

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¹[in Chinese]

²[in Chinese]

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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 Copy Citation Text

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References

[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] 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] 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] 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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