特征图像对象的信息边界（点）识别算法

Zhang Yang*, Wu Changsong, Gao Yanjia, Yang Bin*. From a flapping bumblebee to an evolving sand dune: a reconstruction-based algorithm to feature the digitally recorded objects. Journal of Pattern Recognition and Artificial Intelligence, 2019, 33(04): 1954015.

Abstract: A reconstruction-based image processing algorithm is developed to automatically extract feature points of digitalized 2D objects. This algorithm, which is introduced using a bumblebee flight case, is made up of two parts: a four-connected dot chasing rearrangement scheme and an extreme point extraction on a polarized contour. It is then applied to a dune evolution case that is simulated with a cellular automation model. The results show that the proposed algorithm is effective in characterizing individual moving objects. An additional algorithm is developed to categorize the extracted feature points of a bumblebee with translucent wings.

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