Image processing techniques for surface characterization of nanostructures
作者： Jisha John , M Wilscy
DOI: 10.1109/ICCPCT.2016.7530317
关键词:
摘要: The characterization of nanoscale images finds numerous applications in computer vision and image processing technologies. It is an emerging area research only few papers exist literature on techniques for analyzing properties nanostructures. nanostructures terms surface morphology, particle size, porosity measurement etc helps unique features the nanomaterials which makes them useful many applications. This paper reviews various algorithms their advantages drawbacks
sci-hub.se 参考文章(22)
W. V. Nicholson, R. Malladi, Correlation-based methods of automatic particle detection in electron microscopy images with smoothing by anisotropic diffusion. Journal of Microscopy. ,vol. 213, pp. 119- 128 ,(2004) , 10.1111/J.1365-2818.2004.01286.X
Alan M Roseman, Particle finding in electron micrographs using a fast local correlation algorithm. Ultramicroscopy. ,vol. 94, pp. 225- 236 ,(2003) , 10.1016/S0304-3991(02)00333-9
Hae Yong Kim, Ricardo Hitoshi Maruta, Danilo Roque Huanca, Walter Jaimes Salcedo, Correlation-based multi-shape granulometry with application in porous silicon nanomaterial characterization Journal of Porous Materials. ,vol. 20, pp. 375- 385 ,(2013) , 10.1007/S10934-012-9607-9
Mark E. Davis, Ordered porous materials for emerging applications Nature. ,vol. 417, pp. 813- 821 ,(2002) , 10.1038/NATURE00785
Vivek Singh, Dan C Marinescu, Timothy S Baker, None, Image segmentation for automatic particle identification in electron micrographs based on hidden Markov random field models and expectation maximization. Journal of Structural Biology. ,vol. 145, pp. 123- 141 ,(2004) , 10.1016/J.JSB.2003.11.028
Yuanxin Zhu, B. Carragher, F. Mouche, C.S. Potter, Automatic particle detection through efficient Hough transforms IEEE Transactions on Medical Imaging. ,vol. 22, pp. 1053- 1062 ,(2003) , 10.1109/TMI.2003.816947
Vincenzo Guarino, Angela Guaccio, Paolo A. Netti, Luigi Ambrosio, Image processing and fractal box counting: user-assisted method for multi-scale porous scaffold characterization Journal of Materials Science: Materials in Medicine. ,vol. 21, pp. 3109- 3118 ,(2010) , 10.1007/S10856-010-4163-9
William V. Nicholson, Robert M. Glaeser, Review: Automatic Particle Detection in Electron Microscopy Journal of Structural Biology. ,vol. 133, pp. 90- 101 ,(2001) , 10.1006/JSBI.2001.4348
M.J.J. Jak, C. Konstapel, A. van Kreuningen, J. Verhoeven, R. van Gastel, J.W.M. Frenken, Automated detection of particles, clusters and islands in scanning probe microscopy images Surface Science. ,vol. 494, pp. 43- 52 ,(2001) , 10.1016/S0039-6028(01)01487-X
Yong Xu, Hui Ji, Cornelia Fermüller, Viewpoint Invariant Texture Description Using Fractal Analysis International Journal of Computer Vision. ,vol. 83, pp. 85- 100 ,(2009) , 10.1007/S11263-009-0220-6