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| 基于纹理谱描述子的图像检索 |
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施智平1,2, 胡宏1, 李清勇1,2, 史忠植1, 段禅伦3
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1.中国科学院,计算技术研究所,智能信息处理重点实验室,北京,100080;2.中国科学院,研究生院,北京,100049;3.内蒙古大学,计算机学院,内蒙古,呼和浩特,010021
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| 摘要: |
| 提出一种新的纹理谱描述子应用于基于内容的图像检索中.讨论了小波变换的思想和纹理谱概念的联系,根据纹理的视觉特性,提出纹理模式等价类的概念,设计出更合理的纹理谱描述子来描述图像的纹理特征.该纹理模式刻画了领域内像素灰度变化模式,以纹理谱直方图方式表示图像纹理内容.分析了纹理谱的对称不变性和旋转鲁棒性的特点.应用于图像检索,与G曲or纹理特征相比较,该纹理谱描述子特征提取速度快,检索准确率高. |
| 关键词: 纹理 对称不变性 基于内容的图像检索 纹理谱描述子 |
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| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.60173017(国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant No2002AA135230-D ( 国家高技术研究发展计划 (863)); the Knowledge Innovation Program Pilot Project of the Chinese Academy of Sciences of China under Grant No.20200120024010 (中国科学院知识创新方向性项目) |
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| Texture Spectrum Descriptor Based Image Retrieval |
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SHI Zhi-Ping,HU Hong,LI Qing-Yong,SHI Zhong-Zhi,DUAN Chan-Lun
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| Abstract: |
| This paper presents a new texture spectrum descriptor for content-based image retrieval (CBIR). The relation between wavelet transition and texture spectrum method is discussed. This paper proposes the concept of texture pattern equivalent according to texture visual nature to educe more rational texture spectrum descriptor. The proposed texture patterns depict the variational pattern of pixel gray scales in a domain to descript images texture feature. It represents image content in the form of texture spectrum histogram. The symmetry invariant and rotation robusticity are discussed. Comparison with Gabor features using general image dataset indicate that the proposed texture descriptor takes lower extracting time and provides higher image retrieval accuracy. |
| Key words: texture symmetry invariant content-based image retrieval texture spectrum descriptor |
