A new algorithm of abstracting numeric image outline

A new algorithm based on iterative-dynamic algorithm and edge detection algorithm has been formulated in this paper. In the experiment, the binary image was first introduced by iterative-dynamic threshold algorithm, which had a good performance in restraining noise. Gauss filter was then applied to the binary image in order to eliminate some false edge pixels; statistic and differential coefficient methods were used for calculating the grads-in-image of scope and direction. The object edge was hereby detected and abstracted by using double threshold. Compared with traditional edge abstraction algorithm, the algorithm is advanced in solving the main problem that traditional edge abstraction was in the face of. By reason of using iterative-dynamic algorithm in the first step, it has perfect quality in restraining variety of disturbing factor, like random noise, optic distortion, light intensity and so on. Due to the application of statistic and differential coefficient, the perfect outcome was realized. The results of experiments have indicated that the edge of complex image can be precisely abstracted and the drawbacks of traditional edge detection algorithm can be thoroughly overcome by means of this method.