• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

在极坐标像素框架下利用四元数广义雅可比 - 傅里叶矩重建彩色生物医学图像。

Reconstruction of color biomedical images by means of quaternion generic Jacobi-Fourier moments in the framework of polar pixels.

作者信息

Camacho-Bello César, Padilla-Vivanco Alfonso, Toxqui-Quitl Carina, Báez-Rojas José Javier

机构信息

Universidad Politécnica de Tulancingo , Ingenierías No. 100, Hidalgo 43629, México.

Instituto Nacional de Astrofísica , Óptica y Electrónica. Luis Enrique Erro No. 1, Puebla 72840, México.

出版信息

J Med Imaging (Bellingham). 2016 Jan;3(1):014004. doi: 10.1117/1.JMI.3.1.014004. Epub 2016 Mar 11.

DOI:10.1117/1.JMI.3.1.014004
PMID:27014716
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4786744/
Abstract

A detailed analysis of the quaternion generic Jacobi-Fourier moments (QGJFMs) for color image description is presented. In order to reach numerical stability, a recursive approach is used during the computation of the generic Jacobi radial polynomials. Moreover, a search criterion is performed to establish the best values for the parameters [Formula: see text] and [Formula: see text] of the radial Jacobi polynomial families. Additionally, a polar pixel approach is taken into account to increase the numerical accuracy in the calculation of the QGJFMs. To prove the mathematical theory, some color images from optical microscopy and human retina are used. Experiments and results about color image reconstruction are presented.

摘要

本文对用于彩色图像描述的四元数通用雅可比 - 傅里叶矩(QGJFMs)进行了详细分析。为了实现数值稳定性,在计算通用雅可比径向多项式时采用了递归方法。此外,执行了一个搜索准则来确定径向雅可比多项式族参数[公式:见正文]和[公式:见正文]的最佳值。另外,考虑采用极坐标像素方法以提高QGJFMs计算中的数值精度。为了证明该数学理论,使用了一些来自光学显微镜和人类视网膜的彩色图像。文中给出了关于彩色图像重建的实验和结果。

相似文献

1
Reconstruction of color biomedical images by means of quaternion generic Jacobi-Fourier moments in the framework of polar pixels.在极坐标像素框架下利用四元数广义雅可比 - 傅里叶矩重建彩色生物医学图像。
J Med Imaging (Bellingham). 2016 Jan;3(1):014004. doi: 10.1117/1.JMI.3.1.014004. Epub 2016 Mar 11.
2
High-precision and fast computation of Jacobi-Fourier moments for image description.用于图像描述的雅可比 - 傅里叶矩的高精度快速计算。
J Opt Soc Am A Opt Image Sci Vis. 2014 Jan 1;31(1):124-34. doi: 10.1364/JOSAA.31.000124.
3
Fast and accurate computation of polar harmonic Fourier moments for image description.
J Opt Soc Am A Opt Image Sci Vis. 2023 Sep 1;40(9):1714-1723. doi: 10.1364/JOSAA.494299.
4
A Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants.用于计算精确四元数颜色矩和矩不变量的统一方法。
IEEE Trans Image Process. 2014 Feb;23(2):596-611. doi: 10.1109/TIP.2013.2289997. Epub 2013 Nov 7.
5
Quaternion fast and accurate polar harmonic Fourier moments for color image analysis and object recognition.
J Opt Soc Am A Opt Image Sci Vis. 2024 May 1;41(5):852-862. doi: 10.1364/JOSAA.514567.
6
Image analysis by pseudo-Jacobi (p = 4, q = 3)-Fourier moments.
Appl Opt. 2004 Apr 1;43(10):2093-101. doi: 10.1364/ao.43.002093.
7
Quaternion-Based Texture Analysis of Multiband Satellite Images: Application to the Estimation of Aboveground Biomass in the East Region of Cameroon.基于四元数的多波段卫星图像纹理分析:在喀麦隆东部地区地上生物量估计中的应用
Acta Biotheor. 2018 Mar;66(1):17-60. doi: 10.1007/s10441-018-9317-z. Epub 2018 Mar 21.
8
Pixel classification based color image segmentation using quaternion exponent moments.基于四元数指数矩的像素分类彩色图像分割
Neural Netw. 2016 Feb;74:1-13. doi: 10.1016/j.neunet.2015.10.012. Epub 2015 Nov 6.
9
Invariant Image Representation Using Novel Fractional-Order Polar Harmonic Fourier Moments.使用新型分数阶极谐傅里叶矩的不变图像表示
Sensors (Basel). 2021 Feb 23;21(4):1544. doi: 10.3390/s21041544.
10
Vector sparse representation of color image using quaternion matrix analysis.使用四元数矩阵分析的彩色图像向量稀疏表示。
IEEE Trans Image Process. 2015 Apr;24(4):1315-29. doi: 10.1109/TIP.2015.2397314. Epub 2015 Jan 27.

引用本文的文献

1
New fractional-order shifted Gegenbauer moments for image analysis and recognition.用于图像分析与识别的新型分数阶移位盖根堡矩
J Adv Res. 2020 Jun 1;25:57-66. doi: 10.1016/j.jare.2020.05.024. eCollection 2020 Sep.

本文引用的文献

1
High-precision and fast computation of Jacobi-Fourier moments for image description.用于图像描述的雅可比 - 傅里叶矩的高精度快速计算。
J Opt Soc Am A Opt Image Sci Vis. 2014 Jan 1;31(1):124-34. doi: 10.1364/JOSAA.31.000124.
2
A Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants.用于计算精确四元数颜色矩和矩不变量的统一方法。
IEEE Trans Image Process. 2014 Feb;23(2):596-611. doi: 10.1109/TIP.2013.2289997. Epub 2013 Nov 7.
3
Spermatogonium image recognition using Zernike moments.基于泽尼克矩的精原细胞图像识别
Comput Methods Programs Biomed. 2009 Jul;95(1):10-22. doi: 10.1016/j.cmpb.2009.01.008. Epub 2009 Mar 5.
4
A novel technique for automatic shoeprint image retrieval.一种用于自动鞋印图像检索的新方法。
Forensic Sci Int. 2008 Oct 25;181(1-3):10-4. doi: 10.1016/j.forsciint.2008.07.004. Epub 2008 Sep 30.
5
Accurate computation of Zernike moments in polar coordinates.极坐标下泽尼克矩的精确计算。
IEEE Trans Image Process. 2007 Feb;16(2):581-7. doi: 10.1109/tip.2006.888346.
6
Brain morphometry using 3D moment invariants.使用三维矩不变量的脑形态测量学
Med Image Anal. 2004 Sep;8(3):187-96. doi: 10.1016/j.media.2004.06.016.
7
Image analysis by pseudo-Jacobi (p = 4, q = 3)-Fourier moments.
Appl Opt. 2004 Apr 1;43(10):2093-101. doi: 10.1364/ao.43.002093.
8
Multidistortion-invariant image recognition with radial harmonic Fourier moments.基于径向谐波傅里叶矩的多畸变不变图像识别
J Opt Soc Am A Opt Image Sci Vis. 2003 Apr;20(4):631-7. doi: 10.1364/josaa.20.000631.
9
Image description with Chebyshev-Fourier moments.
J Opt Soc Am A Opt Image Sci Vis. 2002 Sep;19(9):1748-54. doi: 10.1364/josaa.19.001748.