Title :
Image registration, parameter tuning and approximate function evaluation, using the genetic algorithm and digital image warping
Author :
Pagliari, G.M. ; Greene, J.R.
Author_Institution :
Dept. of Electr. Eng., Cape Town Univ., Rondebosch, South Africa
Abstract :
A common problem in image processing is image registration. The problem is finding the parameters of a noisy, multi-modal, multi-dimensional, image warping function which aligns two images. An image registration program, which used a genetic algorithm as the function optimiser, was designed. The settings of the program were automatically tuned with a second genetic algorithm. Monte Carlo analysis was used to improve the results
Keywords :
Monte Carlo methods; function approximation; function evaluation; genetic algorithms; image registration; parameter estimation; Monte Carlo analysis; approximate function evaluation; digital image warping; genetic algorithm; image processing; image registration program; image warping function; multidimensional function; noisy multimodal function; parameter tuning; Arteries; Cities and towns; Digital images; Earth; Genetic algorithms; Hardware; Image processing; Image registration; Image sensors; Remote sensing;
Conference_Titel :
AFRICON, 1996., IEEE AFRICON 4th
Conference_Location :
Stellenbosch
Print_ISBN :
0-7803-3019-6
DOI :
10.1109/AFRCON.1996.562943
