arouse 发表于 2025-3-21 18:01:00
书目名称Advances in Digital Image Processing and Information Technology影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0147830<br><br> <br><br>书目名称Advances in Digital Image Processing and Information Technology影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0147830<br><br> <br><br>书目名称Advances in Digital Image Processing and Information Technology网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0147830<br><br> <br><br>书目名称Advances in Digital Image Processing and Information Technology网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0147830<br><br> <br><br>书目名称Advances in Digital Image Processing and Information Technology被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0147830<br><br> <br><br>书目名称Advances in Digital Image Processing and Information Technology被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0147830<br><br> <br><br>书目名称Advances in Digital Image Processing and Information Technology年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0147830<br><br> <br><br>书目名称Advances in Digital Image Processing and Information Technology年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0147830<br><br> <br><br>书目名称Advances in Digital Image Processing and Information Technology读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0147830<br><br> <br><br>书目名称Advances in Digital Image Processing and Information Technology读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0147830<br><br> <br><br>Ossification 发表于 2025-3-21 21:02:27
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Pyloric Cholecystokinin Receptors histogram based hierarchical approach for isolating individual character from the image document. For recognizing the characters, we can use Euclidean distanc, Pearson coefficient, chain code etc. Result shows that our system is quite robust and provides accuracy up to 92% for the charecter isolation.阶层 发表于 2025-3-22 12:20:24
Guido Adler,Christoph Beglingeranobis separability metric is used in the feature selection process. The optimal operator set removes insignificant operators and thus improves the performance of texture classification. Experimental results on benchmark datasets prove the effectiveness of the proposed approach.剧毒 发表于 2025-3-22 14:09:01
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