infection
发表于 2025-3-21 16:34:53
书目名称Image Analysis and Recognition影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0461385<br><br> <br><br>书目名称Image Analysis and Recognition影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0461385<br><br> <br><br>书目名称Image Analysis and Recognition网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0461385<br><br> <br><br>书目名称Image Analysis and Recognition网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0461385<br><br> <br><br>书目名称Image Analysis and Recognition被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0461385<br><br> <br><br>书目名称Image Analysis and Recognition被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0461385<br><br> <br><br>书目名称Image Analysis and Recognition年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0461385<br><br> <br><br>书目名称Image Analysis and Recognition年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0461385<br><br> <br><br>书目名称Image Analysis and Recognition读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0461385<br><br> <br><br>书目名称Image Analysis and Recognition读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0461385<br><br> <br><br>
onlooker
发表于 2025-3-21 20:56:26
978-3-540-29069-8Springer-Verlag Berlin Heidelberg 2005
蛰伏
发表于 2025-3-22 01:38:18
Image Analysis and Recognition978-3-540-31938-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
RAFF
发表于 2025-3-22 04:53:58
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不再流行
发表于 2025-3-22 12:02:41
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纹章
发表于 2025-3-22 13:45:18
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MAL
发表于 2025-3-22 19:58:23
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EXUDE
发表于 2025-3-23 00:33:44
FCM with Spatial and Multiresolution Constraints for Image Segmentationge then in each level FCM parameters are computed under a neighborhood spatial constraint. The coarse membership functions propagate down to fine layers to improve segmentation accuracy. The algorithm is tested on both synthetic and multispectral images. Experimental results are presented, showing t
Fulsome
发表于 2025-3-23 03:58:49
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thrombus
发表于 2025-3-23 06:01:22
Unsupervised Image Segmentation Using Contourlet Domain Hidden Markov Trees Modelused to capture the likelihood disparity of different texture features. A new context based fusion model is given for preserve more interscale information in contourlet domain. The simulation results of synthetic mosaics and real images show that the proposed unsupervised segmentation algorithm repr