Contrast Comparison of Flat Electroencephalography Image: Classical, Fuzzy, and Intuitionistic Fuzzy Set

被引：0
|
作者：
Zenian, Suzelawati [1 ]
Ahmad, Tahir [2 ]
Idris, Amidora [1 ]
机构：
[1] Univ Teknol Malaysia, Dept Math Sci, Fac Sci, Johor Baharu 81310, Malaysia
[2] Univ Teknol Malaysia, Ctr Sustainable Nanomat, Ibnu Sina Inst Sci & Ind Res, Johor Baharu 81310, Malaysia
来源：
SOFT COMPUTING IN DATA SCIENCE, SCDS 2015 | 2015年 / 545卷
关键词：
Flat EEG; intuitionistic fuzzy set; fuzzy set; hesitation degree; fuzzy image;
D O I：
10.1007/978-981-287-936-3_10
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Image processing is used to enhance visual appearance of images for further interpretation. One of the applications of image processing is in medical imaging. Generally, the pixel values of an image may not be precise as uncertainty arises within the gray values of an image due to several factors. In this paper, the image of Flat EEG (fEEG) is compared via classical, fuzzy, and intuitionistic fuzzy set (IFS) methods. Furthermore, the comparison between the input and output images of fEEG is carried out based on contrast comparison.
引用
收藏
页码：97 / 105
页数：9
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