DocumentCode :
1741515
Title :
A new approach for image-content adaptive mesh generation
Author :
Lee, Jongmin ; Yang, Yongyi ; Wernick, Miles N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Chicago, IL, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
256
Abstract :
A new, effective approach is proposed for content-adaptive mesh generation used for image representation. The proposed approach employs the Floyd-Steinberg (1975) method, a classical error-diffusion algorithm for image halftoning, to distribute the mesh nodes in the domain of an image based on its gradient magnitude. Consequently, fine mesh elements are placed automatically in regions of the image containing high-frequency features while coarse mesh elements are used in smooth regions. The proposed algorithm is non-iterative and easy to implement. Numerical results demonstrate that it can yield a compact, accurate representation of images
Keywords :
adaptive signal processing; gradient methods; image representation; mesh generation; Delaunay triangulation; Floyd-Steinberg method; error-diffusion algorithm; gradient magnitude; high-frequency features; image halftoning; image representation; image-content adaptive mesh generation; mesh elements; mesh nodes; noniterative algorithm; smooth image regions; Biomedical imaging; Frequency; Image coding; Image motion analysis; Image representation; Interpolation; Mesh generation; Motion analysis; Springs; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1522-4880
Print_ISBN :
0-7803-6297-7
Type :
conf
DOI :
10.1109/ICIP.2000.900943
Filename :
900943
Link To Document :
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