• Users Online: 38
  • Print this page
  • Email this page
ORIGINAL ARTICLE
Year : 2019  |  Volume : 3  |  Issue : 1  |  Page : 9-11

Research on medical image segmentation based on fuzzy clustering algorithm


1 National Key Laboratory of Air Traffic Flow Management; College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Guigang, China
2 Aid Station in 75130 Units of the Chinese People's Liberation Army, Guigang, China
3 School of Medicine, Nanjing Tongren Hospital, Southeast University, Nanjing, China
4 National Satellite Meteorological Centre, Beijing, China

Correspondence Address:
Dr. J Li
National Key Laboratory of Air Traffic Flow Management, Nanjing 211106; College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106
China
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/MTSP.MTSP_3_19

Rights and Permissions

Objectives: The aim of the study is to apply the fuzzy clustering algorithm to medical image segmentation technology and analyze the application effect of the algorithm. Methods: In this study, the application of bacterial fuzzy clustering algorithm and bacterial foraging optimization algorithm in tooth image segmentation is analyzed. Among them, bacteria fuzzy clustering algorithm is a research group, whereas bacteria foraging optimization algorithm is a conventional group. Relevant researchers need to compare the separation index, partition coefficient, and partition index of the two algorithms. Results: Compared with the conventional group, the separation index and the partition coefficient of the experimental group were relatively high, and the two groups in the separation index and partition coefficients have a statistically significant difference (P < 0.05); compared with the experimental group, the index value was higher in the conventional group, and there was significant difference between the two groups in the zoning index (P < 0.05). Conclusions: Compared with the traditional bacterial optimization algorithm, the application of the bacterial fuzzy clustering algorithm in tooth image segmentation is more remarkable.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed96    
    Printed9    
    Emailed0    
    PDF Downloaded26    
    Comments [Add]    

Recommend this journal