Fuzzy image enhancement based on algebraic function and cycloid arc length

Libao, Yang and Suzelawati Zenian and Rozaimi Zakaria (2021) Fuzzy image enhancement based on algebraic function and cycloid arc length.

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Abstract

Fuzzy image enhancement is an important method in the process of image processing. In this paper, we present two intensifier operators in fuzzy image enhancement process based on algebraic function and cycloid arc length respectively. The first method directly uses the algebraic function as a membership intensifier operator. The second method also using a intensifier operator which established established by the cycloid arc length as the independent variable. In the last section, the test image is experimentally analyzed, and the results show that the method we proposed can improve enhance the contrast of the image.

Item Type: Proceedings
Uncontrolled Keywords: Fuzzy image enhancement , Membership function , Intensifier operator
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics > QA1-43 General
Q Science > QA Mathematics > QA1-939 Mathematics > QA150-272.5 Algebra
Divisions: FACULTY > Faculty of Science and Natural Resources
Depositing User: DG MASNIAH AHMAD -
Date Deposited: 03 May 2022 21:00
Last Modified: 03 May 2022 21:00
URI: http://eprints.ums.edu.my/id/eprint/32516

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