Threshold image target segmentation technology based on intelligent algorithms

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Abstract
Cite
Cai, Y.X., et al. “Threshold Image Target Segmentation Technology Based on Intelligent Algorithms”. Computer Optics, vol. 44, no. 1, 2020, https://doi.org/10.18287/2412-6179-co-630.
Cai, Y., Xu, Y., Zhang, T., & Li, D. (2020). Threshold image target segmentation technology based on intelligent algorithms. Computer Optics, 44(1). https://doi.org/10.18287/2412-6179-co-630
Cai, Y.X., Y.Y. Xu, T.R. Zhang, and D.D. Li. “Threshold Image Target Segmentation Technology Based on Intelligent Algorithms”. Computer Optics 44, no. 1 (2020). https://doi.org/10.18287/2412-6179-co-630.
Cai Y, Xu Y, Zhang T, Li D. Threshold image target segmentation technology based on intelligent algorithms. Computer Optics. 2020;44(1).
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Physics
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Science (General)
Cybernetics
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Refrences
Title Journal Journal Categories Citations Publication Date
Segmentation of liver cyst in ultrasound image based on adaptive threshold algorithm and particle swarm optimization 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
 14 2016
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  • Science: Geology
  • Geography. Anthropology. Recreation: Oceanography
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 16 2016
Fast Threshold Image Segmentation Based on 2D Fuzzy Fisher and Random Local Optimized QPSO IEEE Transactions on Image Processing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2 2017
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New result on maximum entropy threshold image segmentation based on P system Optik
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Science: Physics: Acoustics. Sound
  • Science: Physics: Optics. Light
  • Science: Physics: Optics. Light
  • Science: Physics
 33 2018
Citations
Title Journal Journal Categories Citations Publication Date
Multithreshold Microbial Image Segmentation Using Improved Deep Reinforcement Learning

 Mathematical Problems in Engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Mathematics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 2022
Citations Analysis
Category Category Repetition
Technology: Engineering (General). Civil engineering (General)1
Science: Mathematics1
The category Technology: Engineering (General). Civil engineering (General) 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Multithreshold Microbial Image Segmentation Using Improved Deep Reinforcement Learning and was published in 2022. The most recent citation comes from a 2022 study titled Multithreshold Microbial Image Segmentation Using Improved Deep Reinforcement Learning. This article reached its peak citation in 2022, with 1 citations. It has been cited in 1 different journals. Among related journals, the Mathematical Problems in Engineering 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