| Autor: |
Dhal, Krishna Gopal, Das, Arunita, Sasmal, Buddhadev, Ray, Swarnajit, Rai, Rebika, Garai, Arpan |
| Zdroj: |
Multimedia Tools & Applications; Mar2024, Vol. 83 Issue 9, p27935-27971, 37p |
| Abstrakt: |
Image segmentation is considered a pertinent prerequisite for numerous tasks in digital image processing. The procedure through which identical segments in an image are identified is termed digital image segmentation and well-known clustering techniques are incorporated for the same. The Fuzzy C-Means algorithm, popularly known as FCM, is one of the most extensively employed clustering methodologies, but it has several drawbacks, including a costly computational time complexity, initial cluster centers, membership matrix reliance, and noise sensitivity. An up-to-date review of the solutions mentioned in recent literature to overcome the issues has been presented in this paper. Further, the main issues involved in the development of these improved FCM variants are deliberated. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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