Maximum likelihood unsupervised textured image segmentation

Article Properties
Cite
Cohen, Fernand S, and Zhigang Fan. “Maximum Likelihood Unsupervised Textured Image Segmentation”. CVGIP: Graphical Models and Image Processing, vol. 54, no. 3, 1992, pp. 239-51, https://doi.org/10.1016/1049-9652(92)90054-2.
Cohen, F. S., & Fan, Z. (1992). Maximum likelihood unsupervised textured image segmentation. CVGIP: Graphical Models and Image Processing, 54(3), 239-251. https://doi.org/10.1016/1049-9652(92)90054-2
Cohen, Fernand S, and Zhigang Fan. “Maximum Likelihood Unsupervised Textured Image Segmentation”. CVGIP: Graphical Models and Image Processing 54, no. 3 (1992): 239-51. https://doi.org/10.1016/1049-9652(92)90054-2.
Cohen FS, Fan Z. Maximum likelihood unsupervised textured image segmentation. CVGIP: Graphical Models and Image Processing. 1992;54(3):239-51.
Citations
Title Journal Journal Categories Citations Publication Date
Mean Shift-Based Defect Detection in Multicrystalline Solar Wafer Surfaces IEEE Transactions on Industrial Informatics
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Engineering (General). Civil engineering (General)
1 2011
Applying wavelets transform and support vector machine for copper clad laminate defects classification Computers & Industrial Engineering
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
16 2009
Applying wavelets transform, rough set theory and support vector machine for copper clad laminate defects classification Expert Systems with Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Manufactures: Production management. Operations management
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
15 2009
An anisotropic diffusion-based defect detection for sputtered surfaces with inhomogeneous textures Image and Vision Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • 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: Physics: Optics. Light
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
15 2005
Automatic band selection for wavelet reconstruction in the application of defect detection Image and Vision Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • 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: Physics: Optics. Light
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2003
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 16 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Tracking of unknown nonstationary chirp signals using unsupervised clustering in the Wigner distribution space and was published in 1993. The most recent citation comes from a 2011 study titled Mean Shift-Based Defect Detection in Multicrystalline Solar Wafer Surfaces. This article reached its peak citation in 2003, with 3 citations. It has been cited in 11 different journals. Among related journals, the IEEE Transactions on Pattern Analysis and Machine Intelligence cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year