Algorithm Research in Ridgelet Transform Domain Based on the Image Content of Freeway Local Linear Crack

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

Journals >Acta Optica Sinica >Volume 26 >Issue 3 >Page 341 > Article

Acta Optica Sinica
Vol. 26, Issue 3, 341 (2006)

Algorithm Research in Ridgelet Transform Domain Based on the Image Content of Freeway Local Linear Crack

[in Chinese]^1、2、*, [in Chinese]³, and [in Chinese]⁴

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

⁴[in Chinese]

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[in Chinese], [in Chinese], [in Chinese]. Algorithm Research in Ridgelet Transform Domain Based on the Image Content of Freeway Local Linear Crack[J]. Acta Optica Sinica, 2006, 26(3): 341 Copy Citation Text

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References

[1] Janne Huiskonen. Maintenance spare parts logistics, special characteristics and strategic choices[J]. International J. Production Economics, 2001, 71(1-3): 125～133

[2] S. Mallat, S. Zhong. Characterizationof signal from multi-scale edges[J]. IEEE Transaction On Pattern Analysis and Machine Intelligence, 1992, 14(7): 710～732

[4] D. L. Donoho. Orthonormal ridgelets and linear singularities[R]. Technical Report. Stanford Univetsity, 1998

[5] E. J. Candes. Ridgelet: Theory and Application[D]. Stanford Univetsity, 1998

[6] E. J. Candes. Monoscale ridgelets for the representation of images with edges[R]. Technical Report. Stanford University, 1999

[7] E. J. Candes, D. L. Donoho. Curvelets:a surprisingly effective non-adaptive representation for objects with edges[R]. Technical Report. Stanford Univetsity, 1999

[10] D. L. Donoho. Emerging application of geometric multiscale analysis[C]. International Congree of Mathematicians, 2002, 1: 209～233

CLP Journals

[1] Xiao Liang, Hu Xiyuan, Wei Zhihui. A Quality Scalable Coding Algorithm of Images Based on Non-Redundancy Contourlet[J]. Acta Optica Sinica, 2008, 28(s2): 106

[2] Guo Chunhua, Wang Tongqing. Research of Low Signal-to-Noise Ratio Crack Noise Reduction Based on Kernel Anisotropic Diffusion[J]. Acta Optica Sinica, 2009, 29(4): 6

[in Chinese], [in Chinese], [in Chinese]. Algorithm Research in Ridgelet Transform Domain Based on the Image Content of Freeway Local Linear Crack[J]. Acta Optica Sinica, 2006, 26(3): 341

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