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CHEN_SHANGYE_Thesis.pdf (1.64 MB)

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ENHANCING FUZZY CLUSTERING METHODS FOR IMAGE SEGMENTATION USING SPATIAL INFORMATION

CHEN, SHANGYE
http://rave.ohiolink.edu/etdc/view?acc_num=miami1556555486273

Abstract Details

2019, Master of Science, Miami University, Computer Science and Software Engineering.
Image segmentation is a very challenging task for image understanding because of the diverse and complex nature of images. Researchers have proposed and continue to propose different algorithms based on the fuzzy clustering method, in particular Fuzzy C- Means (FCM) and its modifications. Fuzzy clustering allows an object to belong to all clusters with a specified membership degree and is uniquely effective when boundaries between clusters of data are ambiguous. This thesis investigates an open competition model combining local and global spatial information for FCM. The basic principle is that pixels in boundary areas have the possibility of belonging to nearby sub-area. This model uses FCM for initial clustering and then again in establishing the influence competition procedure. The open competition model is evaluated using MRI brain images from BrainWeb Experimenting with various model parameters has improved the accuracy rate over traditional FCM and other improvements using spatial information.
Valerie Cross (Advisor)
Vijayalakshm Ramasamy (Committee Member)
Michael Zmuda (Committee Member)
54 p.
Computer Science
Image segmentation; FCM; Fuzzy clustering

Recommended Citations

Citations

  • CHEN, S. (2019). ENHANCING FUZZY CLUSTERING METHODS FOR IMAGE SEGMENTATION USING SPATIAL INFORMATION [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1556555486273

    APA Style (7th edition)

  • CHEN, SHANGYE. ENHANCING FUZZY CLUSTERING METHODS FOR IMAGE SEGMENTATION USING SPATIAL INFORMATION . 2019. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1556555486273.

    MLA Style (8th edition)

  • CHEN, SHANGYE. "ENHANCING FUZZY CLUSTERING METHODS FOR IMAGE SEGMENTATION USING SPATIAL INFORMATION ." Master's thesis, Miami University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1556555486273

    Chicago Manual of Style (17th edition)

miami1556555486273
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This open access ETD is published by Miami University and OhioLINK.