An Image Segmentation Method Based on Cost Function and Fuzzy Entropy

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

Journals >Acta Photonica Sinica >Volume 32 >Issue 12 >Page 1502 > Article

Acta Photonica Sinica
Vol. 32, Issue 12, 1502 (2003)

An Image Segmentation Method Based on Cost Function and Fuzzy Entropy

[in Chinese]¹, [in Chinese]², [in Chinese]³, and [in Chinese]²

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. An Image Segmentation Method Based on Cost Function and Fuzzy Entropy[J]. Acta Photonica Sinica, 2003, 32(12): 1502 Copy Citation Text

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References

[1] Narayanan K A, O′Leary D P, Rosenfeld A. Image smoothing and segmentation by cost minimization.IEEE Trans Syst Man Cybern, 1982,SMC-12(1): 91～96

[2] Huang L K, Wang M J. Image thresholding by minimizing the measures of fuzziness.Pattern Recognition, 1995, 28(1): 41～51

[3] Deluca A, Termini S. A definition of a non-probobilis-tic entropy in the setting of fuzzy set theory.Int Control, 1972,20(1): 301～302

[4] Zenzo S D, Cinque L, Levialdi S. Image Thresholding Using Fuzzy Entropies. IEEE Trans Syst Man Cybern-part(B), 1998, SMC-28(1):15～23

CLP Journals

[1] LEI Bo, FAN Jiu-lun. Image Thresholding Method Based on Two-dimensional Generalized Fuzzy Entropy[J]. Acta Photonica Sinica, 2010, 39(10): 1907

[2] LEI Bo, FAN Jiu-Lun. Self-Adaptation Preferences in One-dimensional Renyi Entropy Thresholding[J]. Acta Photonica Sinica, 2009, 38(9): 2439

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. An Image Segmentation Method Based on Cost Function and Fuzzy Entropy[J]. Acta Photonica Sinica, 2003, 32(12): 1502

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