Abstract: We approach mostly two kinds of common background estimate techniques that include linear predictive estimating and nonlinear mean filtering, and morphological Estimating algorithm for adaptive space filtering. Experimental results show that adaptively perceptive ability of the morphological estimating algorithm is most effective. Its output information can be consistent with the fluctuant change status of image background. Thus, it is helpful to suppress clutter and to enhance signal intensity of target. Finally, the paper emphasizes that mathematical morphology is a powerful tool and has opened new avenues for research in the fields of signal and image processing because of a most attractive feature of morphology being well suited to capturing geometric information.

Key words: computer vision, data flow chart, parameter estimating, clutter suppression, target detection