Abnormal Textures Identification Based on Digital Hilbert Optics Methods: Fundamental Transforms and Models-Reference-Cited by-同舟云学术

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Abnormal Textures Identification Based on Digital Hilbert Optics Methods: Fundamental Transforms and Models

Published:2017-09-07 Issue: Volume: Page:72-79
ISSN:2194-5357
Container-title:Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017
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Author:

Vlasenko Viktor,Stemplewski Sławomir,Koczur Piotr

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-67229-8_7

Reference15 articles.

1. Pratt, W.K.: Digital Image Processing. PIKS Inside, 4th edn. Wiley, New York (2010)

2. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley, New York (2001)

3. Tuceryan, M., Jain, A.K.: Texture analysis. In: Chen, C.H., Pau, L.F., Wang, P.S.P. (eds.) The Handbook of Pattern Recognition and Computer Vision, 2nd edn, pp. 207–248. World Scientific Publishing Co., Singapore (1998)

4. Hahn, S.L., Snopek, K.M.: Complex and Hypercomplex Analytic Signals Theory and Applications. Artech House, Boston (2017)

5. Hahn, S.L.: Hilbert Transforms in Signal Processing. Artech House, Norwood (1996)

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1. The Study of Dynamic Objects Identification Algorithms Based on Anisotropic Properties of Generalized Amplitude-Phase Images;Advances in Intelligent Systems and Computing;2018-08-28

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