2019 Vol.2 Dec. No.6

• Title: Research on Application of Fuzzy Clustering Algorithm in Motion Video Image Parsing
• Name: Jeffrey Vittorini
• Company: West Moreton Anglican College
• Abstract:

  Aiming at the shortcomings of the current sports video image analysis methods, such as rough image segmentation results and high spatial distortion rate, a method of sports video image analysis based on fuzzy clustering algorithm is proposed. Through the application of fuzzy clustering in pattern recognition and image processing, the traditional fuzzy C-means clustering algorithm is improved, and the improved fuzzy clustering algorithm is used to drive the video capture card and obtain the video stream. Then use the improved FCM algorithm to iteratively process the video stream to achieve sports video image parsing. The experimental results prove that the sports video image analysis method based on fuzzy clustering algorithm has high spatial accuracy and low spatial distortion rate, and can accurately segment complex moving video images to obtain high-definition pictures.

  
  

• Keyword: Fuzzy Clustering Algorithm; Motion Video; Image Analysis;
• DOI: 10.12250/jpciams2019060637
• Citation form: Jeffrey Vittorini.Research on Application of Fuzzy Clustering Algorithm in Motion Video Image Parsing[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 65-71.

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