A new method (RPSAM) to solve global optimization problem is proposed and applied in the process
of image registration in agriculture engineering. The random search strategy of simulated annealing is
put into the Powell algorithm, and improved by the advancement of the method of selecting starting
point. Moreover improving PSAM enable itself possess the characteristic of local quadratic
convergence. As the result of experiment turns out, the developed algorithm can prevent optimizing
process from trapping into the domain near local minima. Compared with PSAM, RPSAM is improved
impressively on the precision of result and efficiency of course in order to improve the speed and
quality of image in the course of image registration in agriculture engineering.