| 综合语义和轮廓特征的图像检索技术研究 |
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| 引用本文： | 彭太乐,蒋建国,沈克.综合语义和轮廓特征的图像检索技术研究[J].计算机仿真,2008,25(5):195-198. |
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| 作者姓名： | 彭太乐 蒋建国 沈克 |
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| 作者单位： | 1. 合肥工业大学计算机与信息学院,安徽,合肥,230009;淮北煤炭师范学院计算机系,安徽,淮北,235000
2. 合肥工业大学计算机与信息学院,安徽,合肥,230009 |
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| 摘 要： | 针对基于内容的图像检索系统的检索效率和精度的不足,提出了综合语义和轮廓特征的图像检索方法.以拐点作为控制点对图像的轮廓进行精确分段,利用边界跟踪法对图像进行轮廓特征提取,并以图像的语义和底层的轮廓特征作为图像检索的综合指标,将图像的主观语义和底层特征融合起来,提高了图像底层特征和高层语义之间的联系.通过对不同类型的图像进行检索,实验结果证明该算法对复杂图像检索的效率高、精度高,并具有稳定的检索性能.因此,具有很好的发展趋势.
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| 关 键 词： | 图像检索 语义 轮廓特征 拐点 |
| 文章编号： | 1006-9348(2008)03-0195-04 |
| 修稿时间： | 2007年5月18日 |
Research on Image Retrieval Technique Using Both Semantic Information and Figure Features |
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| PENG Tai-le,JIANG Jian-Guo,SHEN Ke.Research on Image Retrieval Technique Using Both Semantic Information and Figure Features[J].Computer Simulation,2008,25(5):195-198. |
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| Authors: | PENG Tai-le JIANG Jian-Guo SHEN Ke |
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| Affiliation: | PENG Tai-le1,2,JIANG Jian-Guo1,SHEN Ke1,2 (1.School of Computer & Information,Hefei University of Technology,Hefei Anhui 230009,China,2.Department of Computer science,Huaibei Coal Industry Teachers College,Huaibei Anhui 235000,China) |
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| Abstract: | To deal with the defects of the efficiency and accuracy of CBIR, this paper focuses on a new method for image retrieval using both semantic information and figure features.A Inflexion-Based Method for Precise Contour Segmentation is proposed. Edge tracing is used for the feature extraction of the figure in this paper and a new method based on figure and semantic information for image retrieval system is built to fill up the difference between figure and the semantics. Experiments with different types of ima... |
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| Keywords: | Image retrieval Semantic information Figure features Inflexion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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