Contrast enhancement of medical images using multiscale edge representation

Article Properties
Cite
Lu, Jian. “Contrast Enhancement of Medical Images Using Multiscale Edge Representation”. Optical Engineering, vol. 33, no. 7, 1994, p. 2151, https://doi.org/10.1117/12.172254.
Lu, J. (1994). Contrast enhancement of medical images using multiscale edge representation. Optical Engineering, 33(7), 2151. https://doi.org/10.1117/12.172254
Lu J. Contrast enhancement of medical images using multiscale edge representation. Optical Engineering. 1994;33(7):2151.
Journal Categories
Science
Physics
Acoustics
Sound
Science
Physics
Optics
Light
Technology
Chemical technology
Technology
Electrical engineering
Electronics
Nuclear engineering
Materials of engineering and construction
Mechanics of materials
Technology
Engineering (General)
Civil engineering (General)
Technology
Engineering (General)
Civil engineering (General)
Applied optics
Photonics
You May Also Like
Citations
Title Journal Journal Categories Citations Publication Date
CT brain image advancement for ICH diagnosis Healthcare Technology Letters
  • Medicine: Medicine (General): Medical technology
  • Medicine: Medicine (General): Medical technology
 1 2019
Wavelet transform based novel edge detection algorithms for wideband spectrum sensing in CRNs AEU - International Journal of Electronics and Communications
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 22 2018
Local gray level S-curve transformation – A generalized contrast enhancement technique for medical images Computers in Biology and Medicine
  • Science: Biology (General)
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Medicine: Medicine (General): Medical technology
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 48 2017
Towards the design of a consistent image contrast enhancement evaluation measure Signal Processing: Image Communication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
 23 2017
Multiscale contrast similarity deviation: An effective and efficient index for perceptual image quality assessment Signal Processing: Image Communication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
 33 2016
Citations Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics23
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks21
Science: Mathematics: Instruments and machines: Electronic computers. Computer science19
Technology: Engineering (General). Civil engineering (General)15
Technology: Mechanical engineering and machinery11
Medicine: Medicine (General): Medical technology10
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine6
Medicine: Medicine (General)6
Science: Physics: Optics. Light5
Technology: Photography5
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software4
Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics3
Science: Physics: Acoustics. Sound3
Technology: Chemical technology2
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials2
Science: Biology (General): Genetics2
Medicine: Medicine (General): Computer applications to medicine. Medical informatics2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Science: Mathematics2
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods2
Science: Physics: Atomic physics. Constitution and properties of matter1
Science: Physics1
Science: Physics: Geophysics. Cosmic physics1
Science: Geology1
Science: Biology (General)1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 23 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Two applications of wavelets and related techniques in medical imaging and was published in 1995. The most recent citation comes from a 2019 study titled CT brain image advancement for ICH diagnosis. This article reached its peak citation in 2015, with 5 citations. It has been cited in 40 different journals, 2% of which are open access. Among related journals, the Pattern Recognition Letters cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year