2019 Vol.2 Oct. No.5

• Title: Research on adaptive clustering image segmentation method under big data framework
• Name: Carolina Abouzied
• Company: National University of Ireland Maynooth
• Abstract:

  The segmentation image obtained by the traditional method has the disadvantages of high natural gray scale and fuzzy cluster edge. In order to solve the above problems, an adaptive clustering image segmentation method under the big data framework is proposed. Through the two steps of NoDEJS development framework design and EXPRESS back-end framework design, the cluster image big data segmentation environment is built. On this basis, through the three steps of spatial penalty determination, adaptive selection of image clustering number and basic segmentation degree, the adaptive clustering image segmentation method under the big data framework is completed. The design comparison experiment results show that after applying the new method, the natural gray scale of the segmented image is significantly reduced, and the edge definition of the cluster is also improved.

• Keyword: big data framework; adaptive clustering; image segmentation; NoDEJS framework; EXPRESS framework; space penalty; number of clust
• DOI: 10.12250/jpciams2019050559
• Citation form: Carolina Abouzied.Research on adaptive clustering image segmentation method under big data framework[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 4-8.

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