Thresholding of digital images based on the maximum correlation criterion

Zhou Delong; Zhu Liming; Pan Quan; Zhang Hongcai; Dai Guanzhong

Volume 24 Issue 1

Jan. 2002

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Article Navigation > Journal of Electronics & Information Technology > 2002 > 24(1): 136-139

Zhou Delong, Zhu Liming, Pan Quan, Zhang Hongcai, Dai Guanzhong. Thresholding of digital images based on the maximum correlation criterion[J]. Journal of Electronics & Information Technology, 2002, 24(1): 136-139.

Citation:

Zhou Delong, Zhu Liming, Pan Quan, Zhang Hongcai, Dai Guanzhong. Thresholding of digital images based on the maximum correlation criterion[J]. Journal of Electronics & Information Technology, 2002, 24(1): 136-139.

Citation:

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Thresholding of digital images based on the maximum correlation criterion

Received Date: 1999-05-21
Rev Recd Date: 1999-11-25
Publish Date: 2002-01-19

Abstract

Abstract

Thresholding is an important form of image segmentation and is used in the image processing for many applications. In this paper, an automatic technique for thresholding of digital images based on the maximum correlation criterion is presented. This method maximizes the correlations associated with the distributions of the background and object classes to obtain the optimal threshold. It is found that the proposed approach is more effective than that proposed by Yen, and its computational complexity is much lower compared with the methods of entropy.

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References

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