location:Home > 2019 VOL.2 Feb No.1 > Adaptive Fuzzy Method enhanced image based on the large data analysis

2019 VOL.2 Feb No.1

  • Title: Adaptive Fuzzy Method enhanced image based on the large data analysis
  • Name: Fannie Stewart
  • Company: Technical University of Denmark,Denmark
  • Abstract:

    The traditional adaptive image blurring method has a low degree of image processing blur when processing a blurred image. To this end, an adaptive large image data based on fuzzy enhancement method. Big Data technologies introduced, the establishment of a fuzzy adaptive image enhancement framework to achieve a fuzzy image enhancement method adaptive design. Analysis of fuzzy edge enhanced image blur adaptive decision method based on contrast enhancement and smoothing filter in large data. Experimental data show that large data analysis proposed method of modeling a higher accuracy than the conventional method, the accuracy of the image blur processing has been significantly improved, applied to the image enhancement processing different blurred image analysis.

  • Keyword: big data analysis; adaptive; image blur; enhancement method;
  • DOI: 10.12250/jpciams2019010117
  • Citation form: Fannie Stewart.Adaptive Fuzzy Method enhanced image based on the large data analysis[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 61-66.
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Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16