Abstract: Both optimal clustering module and character recognition module in multistage data processing procedure for automatic image target detection are approached mainly, and several application algorithms are derived. In order to accelerate rate of calculating optimal globally segmentation threshold for clutter suppression, a fast algorithm of effective average gradient cutting operation is designed by using optimal computing theory. In recognition procedure, the combination filtering algorithm with multi structuring elements, which is able to preserve geometric information is approached according to shape structures of targets. Experimental results exhibits that target-background expression model and relative algorithm have better generalization.

Key words: segmentation threshold, morphological filtering, image analysis, optimization