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- W2000492086 abstract "Edge is the most important feature of an image. It contains much of information of an image. In addition, edge detection has a significant influence on the performance of image analysis and comprehension. In order to study the edge detection algorithm on the edge of the location and antinoise capability, we selected Log operator, Canny operator and wavelet transform edge detection algorithm to detect image edge by using Matlab software. Simulation results show that, three edge detection operators possessed different capacity in the edge location and suppress noise. Wavelet transform can provide the edge information of different scales. The experimental result shows that, since wavelet transform have a multi-scale feature and localization characteristic, it can accurately detect the edge points, In the meantime ,it can overcome preferably noise-sensitive problems which arise from Log operator and Canny operator ." @default.
- W2000492086 created "2016-06-24" @default.
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- W2000492086 date "2011-10-01" @default.
- W2000492086 modified "2023-09-23" @default.
- W2000492086 title "Application of wavelet transform in edge detection" @default.
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- W2000492086 doi "https://doi.org/10.1109/cisp.2011.6100582" @default.
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