文章摘要
吴庆涛,曹再辉,施进发.傅里叶变换耦合曲率尺度空间的图形检索算法[J].包装工程,2016,37(13):157-164.
WU Qing-tao,CAO Zai-hui,SHI Jin-fa.A Graphical Shape Retrieval Algorithm Based on 2D Fourier Transform Coupled with Curvature Scale Space[J].Packaging Engineering,2016,37(13):157-164.
傅里叶变换耦合曲率尺度空间的图形检索算法
A Graphical Shape Retrieval Algorithm Based on 2D Fourier Transform Coupled with Curvature Scale Space
投稿时间:2015-12-03  修订日期:2016-07-10
DOI:
中文关键词: 图形检索  曲率尺度空间  2D 傅里叶变换  峰值阀值控制  抛物线拟合图  欧式距离
英文关键词: graphic retrieval  curvature scale space  2D Fourier transform  peak threshold control  parabola fitting map  Euclidean distance
基金项目:国家自然科学基金 (71371172) ;航空科学基金 (2012ZG55023) ;河南省高等学校重点科研项目计划 (15A520105) ;郑州航院青年基金(29010014)
作者单位
吴庆涛 郑州航空工业管理学院郑州 450000 
曹再辉 郑州航空工业管理学院郑州 450000 
施进发 华北水利水电大学郑州 450045 
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中文摘要:
      目的 解决当前基于曲率尺度空间 CSS 的图形检索算法仅仅使用了曲率空间图的峰值,且该峰值数量是根据图像形状不断变化的,加上其忽略了图形的重要特征,导致较低的检索精度与效率的不足。 方法 提出了 2D 傅里叶变换耦合改进的曲率尺度空间的图形检索算法。首先,考虑零交叉点过程中的曲率动态变化,并定义峰值阀值控制准则,联合抛物线拟合技术,改进了 CSS 机制,去除伪峰值点,且能兼顾图像形状上的非峰值点信息,获取 CSS 抛物线拟合图;引入 2D 傅里叶变换,用 CSS 抛物线拟合图代替图像形状,获取曲率尺度图的 2D 傅里叶变换;最后,对其进行归一化,建立曲率-傅里叶描述符,构建查询图形与图形库的欧式距离,完成图形检索。 结果 MPEG 数据库测试结果显示:与当前利用曲率尺度空间、 1D 傅里叶描述符的图形检索技术相比,本算法拥有更高的检索精度与效率,呈现出较好的 PR 曲线。 结论 所提算法能够进一步提高图形检索精度与效率,在包装商标检索等领域具有较好的应用价值。
英文摘要:
      The current graphic retrieval algorithm based on CSS (Curvature-Scale-Space) only used the peak value of curvature space image which varied according to the image shape and neglected the important features of graph, which caused lower retrieval accuracy and efficiency. In order to solve the problems, the image retrieval algorithm was put forward based on 2D Fourier transform coupled with improved curvature scale space (CSS). Firstly, it considered the dynamic change in curvature zero crossing point’s process, defined the peak threshold control criterion, and improved the CSS mechanism by combining parabola fitting technology to remove the pseudo-peak point, and take into account the non peak point information of image shape and get CSS parabola fitting image. Introducing the 2D Fourier transform, it substituted image shape with CSS parabola fitting image and achieved 2D Fourier transform of curvature scale image. Finally, it conducted normalization, built the curvature-Fourier descriptor, and constructed the Euclidean distance between the query image and the image database, and finished graphic retrieval. Database test results showed: compared with the current technology based on curvature scale space and 1D Fourier descriptors, the new algorithm had higher retrieval precision and efficiency as well as better PR curve. It can further improve the precision and efficiency of graphic retrieval and have good application value in trademark retrieval, etc.
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