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Publication detail
MIKULKA, J.
Original Title
Partial Differential Equations in Image Processing
Type
conference paper
Language
English
Original Abstract
The paper deals with less known methods of image processing, i.e. methods that employ partial differential equations. The methods described in the paper are methods for image restoration (energy method, total variation restoration, heat equation, nonlinear diffusion, and Osher-Rudin shock filter for the enhancement of edges in an image) and methods for image segmentation (application of the level set method as a segmentation approach to complex shapes). The principles of several methods, their mathematical models, and ex-amples of image processing are given.
Keywords
image processing, partial differential equation, image restoration, image denoising, image segmentation, level set
Authors
RIV year
2008
Released
24. 4. 2008
Publisher
Ing. Zdeněk Novotný, CSc., Ondráčkova 105, Brno
Location
Brno
ISBN
978-80-214-3614-5
Book
Proceedings of the 14th Conference and Competition STUDENT EEICT 2008
Pages from
276
Pages to
280
Pages count
5
URL
http://www.feec.vutbr.cz/EEICT/2008/sbornik/03-Doktorske%20projekty/02-Zpracovani%20signalu%20a%20obrazu/07-xmikul16.pdf
BibTex
@inproceedings{BUT25690, author="Jan {Mikulka}", title="Partial Differential Equations in Image Processing", booktitle="Proceedings of the 14th Conference and Competition STUDENT EEICT 2008", year="2008", pages="276--280", publisher="Ing. Zdeněk Novotný, CSc., Ondráčkova 105, Brno", address="Brno", isbn="978-80-214-3614-5", url="http://www.feec.vutbr.cz/EEICT/2008/sbornik/03-Doktorske%20projekty/02-Zpracovani%20signalu%20a%20obrazu/07-xmikul16.pdf" }