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Efficient extraction algorithm of local fuzzy feature of dynamic images

Abstract The traditional local fuzzy feature algorithm of dynamic image is based on a single threshold to set the filter value, so it is difficult to establish an effective filtering model for the local fuzzy interference, which results in a large deviation of feature extraction. Thus, in this paper, a local fuzzy feature extraction algorithm of dynamic images for resisting clutter interference is proposed. Firstly, the gray enhancement model is set up, and the dynamic image is enhanced. Then, the least square method is introduced to realize the local fuzzy feature extraction of the dynamic image in the clutter interference environment. Experimental results show that the proposed algorithm can effectively improve the accuracy of local fuzzy feature extraction of the dynamic image.