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A Fractional-Order Laplacian Operator for Image Edge Detection
Abstract:
This paper proposes a novel fractional-order Laplacian operator for image edge detection. The proposed operator can be seen as generalization of the second-order Laplacian operator. The goal is to utilize the global characteristic of the fractional derivative for extracting more edge details. A thresholding is set based on the average fractional-order gradient for marking the edge points, and then the image edge can be extracted. Experiments show that the proposed fractional-order operator yields good visual effects.
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55-58
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Online since:
April 2014
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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