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 :
بازگشت