DocumentCode
3583782
Title
Wedgelets-based automatic object contour detection
Author
Loke, Kar Seng
Author_Institution
Sch. of Inf. Technol., Monash Univ., Bandar Sunway, Malaysia
Volume
7
fYear
2010
Firstpage
3664
Lastpage
3668
Abstract
We have developed a combinational image representation using the wedgelet minimization algorithm to include orthogonal basis transforms for encoding textural regions and wedgelet for regions with regular boundaries. We show that the representation approach can be used for automatic object contour detection. The preliminary results show that the method is encouraging.
Keywords
edge detection; image representation; image segmentation; transforms; combinational image representation; edge detection; image segmentation; orthogonal basis transforms; wedgelet minimization algorithm; wedgelets-based automatic object contour detection; Active contours; Approximation methods; Discrete cosine transforms; Image edge detection; Image segmentation; Shape; Tiles; contour detection; discrete orthogonal transform; edge detection; image processing; image segmentation; wedgelets;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5583731
Filename
5583731
Link To Document