Content-based image retrieval using Legendre chromaticity distribution moments

Article Properties
Cite
Yap, P.-T., and R. Paramesran. “Content-Based Image Retrieval Using Legendre Chromaticity Distribution Moments”. IEE Proceedings - Vision, Image, and Signal Processing, vol. 153, no. 1, 2006, p. 17, https://doi.org/10.1049/ip-vis:20045064.
Yap, P.-T., & Paramesran, R. (2006). Content-based image retrieval using Legendre chromaticity distribution moments. IEE Proceedings - Vision, Image, and Signal Processing, 153(1), 17. https://doi.org/10.1049/ip-vis:20045064
Yap PT, Paramesran R. Content-based image retrieval using Legendre chromaticity distribution moments. IEE Proceedings - Vision, Image, and Signal Processing. 2006;153(1):17.
Refrences
Title Journal Journal Categories Citations Publication Date
10.1109/TIP.2003.822971 2004
10.1109/TKDE.2003.1232264 2003
10.1109/TIP.2002.806228 2003
10.1109/TKDE.2002.1033769 2002
10.1109/TIP.2002.801585 2002
Citations
Title Journal Journal Categories Citations Publication Date
Content-Based Image Retrieval Using Gamma Distribution and Mixture Model

 Journal of Function Spaces
  • Science: Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 2022
Parameter-free quaternary orthogonal moments for color image retrieval and recognition Journal of Electronic Imaging
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Physics: Optics. Light
  • Technology: Photography
  • Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics
  • Science: Physics: Acoustics. Sound
  • Science: Physics: Optics. Light
  • Technology: Engineering (General). Civil engineering (General)
 2018
Image retrieval based on exponent moments descriptor and localized angular phase histogram Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 19 2016
Blind image quality assessment for Gaussian blur images using exact Zernike moments and gradient magnitude Journal of the Franklin Institute
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Engineering (General). Civil engineering (General)
 17 2016
Robust histogram-based image retrieval Pattern Recognition Letters
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 14 2016
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science11
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks9
Technology: Engineering (General). Civil engineering (General)8
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware6
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software6
Technology: Mechanical engineering and machinery5
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics5
Science: Mathematics3
Science: Science (General): Cybernetics: Information theory3
Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics2
Science: Physics: Optics. Light2
Science: Physics: Acoustics. Sound2
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods2
Science: Physics1
Technology: Chemical technology1
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials1
Technology: Technology (General): Industrial engineering. Management engineering1
Technology: Photography1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 11 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled CONTENT-BASED IMAGE RETRIEVAL TRAINED BY ADABOOST FOR MOBILE APPLICATION and was published in 2006. The most recent citation comes from a 2022 study titled Content-Based Image Retrieval Using Gamma Distribution and Mixture Model. This article reached its peak citation in 2015, with 5 citations. It has been cited in 15 different journals, 13% of which are open access. Among related journals, the Multimedia Tools and Applications cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year