ACORN
发表于 2025-3-21 19:23:42
书目名称Scale-Space Theory in Computer Vision影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0861096<br><br> <br><br>书目名称Scale-Space Theory in Computer Vision影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0861096<br><br> <br><br>书目名称Scale-Space Theory in Computer Vision网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0861096<br><br> <br><br>书目名称Scale-Space Theory in Computer Vision网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0861096<br><br> <br><br>书目名称Scale-Space Theory in Computer Vision被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0861096<br><br> <br><br>书目名称Scale-Space Theory in Computer Vision被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0861096<br><br> <br><br>书目名称Scale-Space Theory in Computer Vision年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0861096<br><br> <br><br>书目名称Scale-Space Theory in Computer Vision年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0861096<br><br> <br><br>书目名称Scale-Space Theory in Computer Vision读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0861096<br><br> <br><br>书目名称Scale-Space Theory in Computer Vision读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0861096<br><br> <br><br>
Blasphemy
发表于 2025-3-21 20:34:25
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付出
发表于 2025-3-22 03:42:13
Generating stable structure using Scale-space analysis with non-uniform Gaussian kernels,optimal parameter of a pixel. Optimal surface parameters for all pixels are calculated through observation of a limited scale, using parameter surface analysis of an optimal filter in Scale-space. The optimal filter and the image description are calculated by this approach to achive a natural image.
receptors
发表于 2025-3-22 04:48:48
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Vertebra
发表于 2025-3-22 10:36:45
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圣歌
发表于 2025-3-22 14:02:58
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dry-eye
发表于 2025-3-22 20:24:22
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Graphite
发表于 2025-3-22 23:58:28
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magnanimity
发表于 2025-3-23 04:38:11
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isotope
发表于 2025-3-23 05:42:48
Generating stable structure using Scale-space analysis with non-uniform Gaussian kernels,ween the textures and understanding the characteristics of similar textures. So we propose a new Scale-space analysis with non-uniform Gaussian kernels in order to find a stable image in which coarseness and directionality are not affected comparatively. We analyze zero-crossing surfaces to generate