Title :
Shivering greedy snakes, gradient-guided in wavelet domain
Author :
Sakalli, Mustafa ; Lam, Kin-Man ; Yan, Hong
Author_Institution :
Dept. of Electr. Eng., Sydney Univ., NSW, Australia
Abstract :
The convergence speed of snakes is increased with the switching step size of local minima search and they are incorporated with the local gradient information in the wavelet domain to provide extra speed of convergence to their final contours. This is important in model based compression applications using wavelet decomposition. The directional gradient information is extracted from the subbands provided for the three directions at each stage of the decomposition. The advantages of this approach include, increased speed of convergence due to the switching step size of search and due to the decreased number of pixels to be searched and decreased burden of calculations for pre-processing due to the decreased size of subbands and due to the decreased dimension of the Gaussian filters in the pre-processing stage
Keywords :
Gaussian processes; convergence of numerical methods; data compression; edge detection; feature extraction; filtering theory; gradient methods; image coding; transform coding; wavelet transforms; Gaussian filters; convergence speed; directional gradient information; feature extraction; gradient guided shivering greedy snakes; local gradient information; local minima search; model based coding; model based compression applications; object boundaries location; pixels; pre-processing; subbands; switching step size; wavelet decomposition; wavelet domain; Active contours; Biomedical imaging; Convergence; Data mining; Feature extraction; Filters; Image coding; Image edge detection; Image processing; Wavelet domain;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723698
