Discriminatory Projection of Camouflaged Texture Through Line Masks

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참고문헌 (22)

1. Anderson, A. J, "Towards an autonomous motion camouflage control system", International Joint Conference on Neural Networks, pp.2006~2011 (2002)
2. Gonzalez R.C, "Digital Image processing" (2005), PHI
3. Iivarinen J, "An adaptive Texture and Shape Based Defect Classification", ProcIn-ternational Conf on Pattern Recognition, 2, pp.117~123 (1998)
4. Jain A.K, "Algorithms for Clustering Data" (1988), Prentice Hall
5. John C Russ, "Image Processing Hand Book" (1999), CRC press
6. Joseph P Havlicek, "Determination of The Number of texture Segments using Wavelets", 16th Conference on Applied Mathematics, University of Central Oklahoma, Electronic Journal of Differential Equations, Conf 07, pp.61~70 (2001)
7. Juliana F CamapumWanderley, "Spatial-Feature Parametric Clustering Applied to Motion–Based Segmentation in Camouflage", Computer Vision and Image Understanding, 85, pp.144~157 (2002)
8. Lalitha R, "Content Driven Dimensionality Reduction at Block level in the design of an efficient classifier for spatial multi spectral Images", PRL, 25, pp.1833~1844 (2004)
9. Michael S, "Practical algorithm for Image Analysis,(Description, Examples and code), Chapter 3- Gray Scale Image Analysis" (2000), Cambridge University Press
10. Nagabhushan P, "Identification of Camouflaged Defect through Central moments and Hierarchical Segmentation", Communicated to International Journal of Tomogra-phy and Statistics (2006)
11. Nagabhushan P, "Multiresolution Knowledge Mining using Wavelet Trans-form", Proceedings of ICCR, pp.781~792 (2005)
12. Nagabhushan P, "Visualization of camouflaged Image segment: Experi-ment with synthetic Images’", Proc of National Conference on Document analysis& Recognition, pp.11~12 (2003)
13. Newman. T S, "A survey of automated Visual Inspection", Computer Vision and Im-age Understanding, 67, pp.231~262 (1992)
14. Pradeep Kumar R, "AB Distance Based Histogram Clustering for Mining Multi-Channel EEG Data Using Wavesim Transform", IEEE International conference on Cognitive Informatics (2006)
15. Roy R. Behrens, "An introductory address", international Camouflagecon-ference (2006)
16. Sanjay Pande M.B, "An algorithmic model for exploratory analysis of trace elements in cognition and recognition of neurological disorders. Ph", 박사, Department of studies in Computer Science, pp.2004
17. Schael M, "Automatic Detection of Errors in Textures Using Invariant Gray scale Features and Polynomial Classifier", Texture analysis in machine Vision, 40, pp.219~229 (2000), World Scientific
18. Serafim. A, "Segmentation of natural Images based On Multi resolution Pyramids Linking: Applica-tion to Leather defects Detection", Proc International Conf on Pattern Recognition, pp.41~44 (1992)
19. Smith, M L, "Surface texture analysis based upon the visually acquired perturba-tion of surface normal", Image and Vision Computing Journal, 15(12), pp.949~955 (1997)
20. Song K Y, J Kittler, "Defect detection in random Color textures", Image and Vision Computing, 14, pp.667~683 (1996)
21. Song, K Y, "Texture Defect Detection: Review", SPIE Applications of Artificial Intelligence X: Machine Vision and Robotics, 1708, pp.99~106 (1992)
22. Song, K Y, M Petrou, "Wigner based crack detection in Texture Images", Fourth IEE (1992)

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