Automatic characterization of spiral and elliptical galaxies from digital images
作者： J.A. García , R. Molina , N. Pérez de la Blanca
DOI: 10.1016/0167-8655(94)90147-3
关键词:
摘要: Abstract In this paper we describe the application of pattern recognition techniques to astronomical problem automatic characterization galaxies. The is reduced study boundary a region obtained from segmentation process on digital image. We show that there enough information characterize an elliptical or spiral galaxy region. This exhibits deformations due arms galaxies, but shows nearly shape Based provided by curve, then and compare three different methods.
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sci-hub.se 参考文章(6)
Allan Sandage, The Hubble atlas of galaxies ,(1961)
D. Geman, Random fields and inverse problems in imaging Springer, Berlin, Heidelberg. pp. 115- 193 ,(1990) , 10.1007/BFB0103042
Paul D Sampson, Fitting conic sections to “very scattered” data: An iterative refinement of the bookstein algorithm Computer Graphics and Image Processing. ,vol. 18, pp. 97- 108 ,(1982) , 10.1016/0146-664X(82)90101-0
Farzin Mokhtarian, Alan Mackworth, Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. PAMI-8, pp. 34- 43 ,(1986) , 10.1109/TPAMI.1986.4767750
K.V. Mardia, T.J. Hainsworth, A spatial thresholding method for image segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 10, pp. 919- 927 ,(1988) , 10.1109/34.9113
Jean Serra, Image Analysis and Mathematical Morphology ,(1984)