Real-Time Recognition of Multi-Targets with Complicated Distortion Based on Cascaded Neural Networks

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

Journals >Acta Optica Sinica >Volume 20 >Issue 7 >Page 919 > Article

Acta Optica Sinica
Vol. 20, Issue 7, 919 (2000)

Real-Time Recognition of Multi-Targets with Complicated Distortion Based on Cascaded Neural Networks

[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], and [in Chinese]

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[in Chinese]

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[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Real-Time Recognition of Multi-Targets with Complicated Distortion Based on Cascaded Neural Networks[J]. Acta Optica Sinica, 2000, 20(7): 919 Copy Citation Text

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References

[3] Lee S H. Optical implementations of digital algorithms for pattern recognition. Opt. Engng., 1986, 25(1):69～75

[4] Freeman M O, Saleh B E A. Optical location of centroids of non-overlapping objects. App. Opt., 1987, 26(14/15):2752～2759

[5] Huh H, Pan J K. Optical/digital invariant recognition of two-dimensional patterns with straight lines. Opt. Engng., 1996, 35(4):997～1002

[6] Week Jr. A R. Fundamentals of electronic image processing. Bellingham(Washington USA): SPIE Optical Engineering Press, 1996. 316～332

[9] Chang S, Song Z, Jin C et al.. Adaptive clipped model and its optical implementation. Optik, 1998, 107(4):135～140

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