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231223s1998 xx |||||o 00| ||eng c |
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|a 10.1109/83.661185
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|a eng
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|a Carmona, R A
|e verfasserin
|4 aut
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|a Adaptive smoothing respecting feature directions
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|c 1998
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a Date Completed 15.12.2009
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|a Date Revised 15.02.2008
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Accurate extraction of the image feature directions is essential to image smoothing and other image processing tasks. We show that the gradient-based feature direction extraction method can be very erroneous. The gradient is too local, and it cannot detect oscillations. We have developed two new methods: the Hessian method, an approach using higher order differentiations, and the Gabor (1946) method, an approach using space-frequency analysis
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|a Journal Article
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|a Zhong, S
|e verfasserin
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 7(1998), 3 vom: 30., Seite 353-8
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|u http://dx.doi.org/10.1109/83.661185
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