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- W2360402598 abstract "In order to make high accuracy edge detection of noise-contained images that are brought on by special image environment,new sub-pixel edge detection algorithm is introduced based on wavelet transform and Zernike Moments.In the algorithm,the low lumen and noise-contained target images are firstly edge extracted based on wavelet transform modular maximum,which can resist noise infection to edge detection and a pixel-degree edge of the images can be detected.Then the Zernike Moments are divided in the edge areas which can improve the edge detection precision to a sub-pixel degree.Tests and simulations show this algorithm can get high precision edge detections in low lumen noise-included environment and the detection precision can reach 0.2 pixel." @default.
- W2360402598 created "2016-06-24" @default.
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- W2360402598 date "2010-01-01" @default.
- W2360402598 modified "2023-09-23" @default.
- W2360402598 title "Sub-pixel Detection Algorithm for Rule Targets Based on Wavelet Transform and Zernike Moments" @default.
- W2360402598 hasPublicationYear "2010" @default.
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