2012 Fiscal Year Final Research Report
A Novel Image Feature Extraction Framework Using Higher-Order Statistic Kernels
| Project/Area Number |
22500198
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | University of Tsukuba |
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Principal Investigator |
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| Project Period (FY) |
2010 – 2012
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| Keywords | ニューラルネットワーク / カーネル法 |
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| Research Abstract |
This project focused on using the Higher-order moment functions as image features to be used for classification and retrieval, by way of Higher-order moment kernels which enables a drastic reduction of computation regardless of the order. The nature of the moment features which differs according to the order, and the conditions for applying the feature for real-world image classification have been investigated by mathematical analysis and image texture classification experiments.
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