In this paper, a new edge detection approach combining Zernike moment operator with Gaussian operator is proposed. This detection consists of two steps: Firstly, Gaussian is used to smooth the image; Secondly, Zernike operator is used to locate the edge. In the second step, only one mask is used to calculate the edge. In this way, the computational complexity of the new approach is one-third less than that of the former one which uses Zernike moments operator. The test result shows that this method possesses good detection precision and relative shorter run time.
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