2020 Vol.3 Apr. No.2

• Title: Defect extraction of medical devices in ICU based on Fuzzy pixel difference iterative clustering
• Name: Hou Yani
• Company: School of Computer Science,Sichuan University of Science&Enginee
• Abstract:

  The traditional multimedia image mining based on association rules, has a big flaw in mining time, a multimedia image mining method based on fuzzy pixel difference iterative clustering is proposed, multimedia image index characteristic value is converted into relative membership degree for fuzzy concept index. On the basis of the multimedia image samples and fuzzy pixel difference comprehensive tradeoff metric equation of different types, the Lagrange function is constructed to acquire fuzzy pixel difference iterative clustering loop iteration

• Keyword: Fuzzy pixels, difference iterative clustering, multimedia image, mining
• DOI: 10.12250/jpciams2020020226
• Citation form: Hou Yani.Defect extraction of medical devices in ICU based on Fuzzy pixel difference iterative clustering[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 18-23.

[1] Zhong Chongfeng, Liu Zhi. An Improved Image Segmentation Algorithm Based on Genetic Fuzzy C-Means Clustering [J]. Journal of Changchun University of Science and Technology: Natural Science, 2014, (2): 62-67.
[2] Zhang Hong, Wu Fei, Zhang Xiaolong. Multimedia Data Clustering Based on Correlation Matrix Fusion [J]. Chinese Journal of Computers, 2011, 34 (9): 1705-1711.
[3] Cui Zhaohua, Gao Liqun, Ouyang Haibin. Improved fuzzy C-means clustering combined with the global best harmony search algorithm for image segmentation [J]. Journal of Image and Graphics, 2013, 18 (9): 1133-1141.
[4] Lu Binbin, Jia Zhenhong, Yang Jie. A new Fuzzy C