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2 February 2006 Computational methods for image restoration, image segmentation, and texture modeling
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Abstract
This work is devoted to new computational models for image segmentation, image restoration and image decomposition. In particular, we partition an image into piecewise-constant regions using energy minimization and curve evolution approaches. Applications of denoising-segmentation in polar coordinates (motivated by impedance tomography) and of segmentation of brain images will be presented. Also, we decompose a natural image into a cartoon or geometric component and an oscillatory or texture component using a variational approach and dual functionals. Thus, new computational methods will be presented for denoising, deblurring and texture modeling.
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Ginmo Chung, Triet M. Le, Linh H. Lieu, Nicolay M. Tanushev, and Luminita A. Vese "Computational methods for image restoration, image segmentation, and texture modeling", Proc. SPIE 6065, Computational Imaging IV, 60650J (2 February 2006); https://doi.org/10.1117/12.659849
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