Abstract

Chan Tony F, Shen Jianhong (Jackie): Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods.

Highlights

  • Chan Tony F, Shen Jianhong (Jackie): Image Processing and Analysis: Variational, partial differential equations (PDE), Wavelet, and Stochastic Methods

  • Image processing has traditionally been an area in the engineering community

  • In the past few decades several advanced mathematical approaches have been introduced into this field, namely, the variational calculus, partial differential equations (PDE) and stochastic approaches, and they have become important tools for theoretical image processing

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Summary

Marr D

Vision : a computational investigation into the human representation and processing of visual information. San Francisco , W.H. Freeman; 1982:xvii, 397 p. 3. Morel JM, Solimini S: Variational methods in image segmentation: with seven image processing experiments. In Progress in nonlinear differential equations and their applications ; v 14 Boston , Birkhauser; 1995:xvi, 245 p. 4. Aubert G, Kornprobst P: Mathematical problems in image processing: partial differential equations and the calculus of variations. New York , Springer; 2001:xxv, 286 p. 5. Dal Maso G, Tomarelli F: Variational methods for discontinuous structures: international workshop at Villa Erba (Cernobbio), Italy, July 2001. In Progress in nonlinear differential equations and their applications ; v 51 Basel ; Boston , Birkhauser; 2002:x, 185 p

Kerckhove M: Scale-space and morphology in computer vision
17. Paragios N
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