Categorical image retrieval through genetically optimized support vector machines (GOSVM) and hybrid texture features - Springer

Aun Irtaza; M. Arfan Jaffar

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Categorical image retrieval through genetically optimized support vector machines (GOSVM) and hybrid texture features - Springer

机译：通过遗传优化的支持向量机（GOSVM）和混合纹理特征进行分类图像检索-Springer

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来源
《Signal, Image and Video Processing》 |2015年第7期|1503-1519|共17页
作者
Aun Irtaza; M. Arfan Jaffar;
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作者单位

1.National University of Computer and Emerging Sciences Islamabad Pakistan 2.Department of Computer Science University of Engineering and Technology Taxila Pakistan;

1.National University of Computer and Emerging Sciences Islamabad Pakistan 3.College of Computer and Information Sciences Al Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh Saudi Arabia;

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原文格式 PDF
正文语种 eng
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关键词
CBIR; Genetic algorithm; Relevance feedback; SVM-based semantic association;

机译：遗传算法关联反馈;基于支持向量机的语义关联;

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4. Efficient Image Retrieval Based on Support Vector Machine and Genetic Algorithm Using Color, Texture and Shape Features [C] . Naoufal Machhour, Mbarek Nasri IEEE Congress on Information Science and Technology . 2021

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Categorical image retrieval through genetically optimized support vector machines (GOSVM) and hybrid texture features - Springer

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