Rr. Brooks et al., AUTOMATIC CORRELATION AND CALIBRATION OF NOISY SENSOR READINGS USING ELITE GENETIC ALGORITHMS, Artificial intelligence, 84(1-2), 1996, pp. 339-354
Citations number
18
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence",Ergonomics
This paper explores an image processing application of optimization te
chniques which entails interpreting noisy sensor data. The application
is a generalization of image correlation; we attempt to find the opti
mal gruence which matches two overlapping gray scale images corrupted
with noise. Both tabu search and genetic algorithms are used to find t
he parameters which match the two images. A genetic algorithm approach
using an elitist reproduction scheme is found to provide significantl
y superior results.