An enhancement of ladar image based on SFLA algorithm
Zhen Zeng, Lin Lü, Yuanqin Wang · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2013
Because resulting image of laser radar echo signal is weak, it is necessary to improve the relative gray scale of each point. This article proposed an adaptive image enhancement algorithm based on FSFLA (A Fast Shuffled Frog Leaping Algorithm). This algorithm is based on a fast shuffled frog leaping algorithm with larger scan scope, faster convergence rateandshorter computing time. When the algorithm is applied into ladar image, the effect of image enhancement is faster to achieve compared to tradition SFLA algorithm. As a result, this algorithm is more applicable in actual occasion. Under the condition of 24 given initial value, SFLA needs to convergent 20 times to achieve stability in average while FSFLA only needs 6 times in average, thus greatly improving the computing time.