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- W2375843957 abstract "Considering the disadvantage of the inaccurate edge location in the traditional edge detection methods,an edge detection method is proposed which based on the fusion of lifting wavelet transform and multi-scale morphology according to the advantage of lifting wavelet transform and mathematical morphology.Firstly,lifting wavelet transform is applied on the original image,and then successively wavelet transform and multi-scale morphological operators are used to extract edge of the low-frequency image,so the low-frequency image is fused according to the xor rule.Then wavelet transform is applied to detect the high-frequency edge.Finally,edge image is got through the lifting wavelet inverse transform.The experimental results show that,compared with traditional or other morphological edge detection methods,the proposed algorithm has a strong edge positioning capabilities while it keeps the sharp-edged image." @default.
- W2375843957 created "2016-06-24" @default.
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- W2375843957 date "2013-01-01" @default.
- W2375843957 modified "2023-09-28" @default.
- W2375843957 title "Edge Detection Based on Fusion of Lifting Wavelet and Morphology" @default.
- W2375843957 hasPublicationYear "2013" @default.
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