Abstract It is hard to obtain edges in the natural images with ambiguity features and the fusion between the foreground and background. Aiming at this problem, the fault-tolerant based edge location establishes a unique, locally calculable minimum reliable scale for each pixel of the image to locate and extract the blur edges. The calculating of the second derivation for each pixel is simplified, which uses the convolution mask along its gradient direction. By combining the local scale control with LoG algorithm, it avoids abundant second derivation calculations in the gradient direction. An approach of approximately determining zero crossing position as well as the flow chart to localize edges is presented and analyzed. The results of different recognition methods for three kinds of typical blurred images are compared, which show that the proposed algorithm localizes and extracts edges quickly and correctly, and it is more practical.
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2011, Vol. 24 
