Rail image segmentation based on Otsu threshold method

Article Properties
Cite
YUAN Xiao-cui 袁小翠, et al. “Rail Image Segmentation Based on Otsu Threshold Method”. Optics and Precision Engineering, vol. 24, no. 7, 2016, pp. 1772-81, https://doi.org/10.3788/ope.20162407.1772.
YUAN Xiao-cui 袁., WU Lu-shen 吴., & CHEN Hua-wei 陈. (2016). Rail image segmentation based on Otsu threshold method. Optics and Precision Engineering, 24(7), 1772-1781. https://doi.org/10.3788/ope.20162407.1772
YUAN Xiao-cui 袁小翠, WU Lu-shen 吴禄慎, and CHEN Hua-wei 陈华伟. “Rail Image Segmentation Based on Otsu Threshold Method”. Optics and Precision Engineering 24, no. 7 (2016): 1772-81. https://doi.org/10.3788/ope.20162407.1772.
YUAN Xiao-cui 袁, WU Lu-shen 吴, CHEN Hua-wei 陈. Rail image segmentation based on Otsu threshold method. Optics and Precision Engineering. 2016;24(7):1772-81.
Citations
Title Journal Journal Categories Citations Publication Date
A Novel Defect Detection Method for Ferrite Shield Surface Defects by Improved Faster R-CNN

 Scientific Programming
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • 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
 2022
Spot Image Segmentation of Lifting Container Vibration Based on Improved Threshold Method and Mathematical Morphology

 Shock and Vibration
  • Science: Physics
  • Science: Physics: Acoustics. Sound
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
 2021
Threshold image target segmentation technology based on intelligent algorithms

 Computer Optics
  • Science: Science (General): Cybernetics: Information theory
  • Science: Physics: Optics. Light
  • Science: Physics: Optics. Light
 1 2020
Citations Analysis
Category Category Repetition
Science: Physics1
Science: Physics: Acoustics. Sound1
Technology: Mechanical engineering and machinery1
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics1
Technology: Engineering (General). Civil engineering (General)1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Science: Science (General): Cybernetics: Information theory1
Science: Physics: Optics. Light1
The category Science: Physics 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Threshold image target segmentation technology based on intelligent algorithms and was published in 2020. The most recent citation comes from a 2022 study titled A Novel Defect Detection Method for Ferrite Shield Surface Defects by Improved Faster R-CNN. This article reached its peak citation in 2022, with 1 citations. It has been cited in 3 different journals, 66% of which are open access. Among related journals, the Scientific Programming cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year