Fuzzy contrast enhancement by intensification operator in flat electroencephalography image

Contrast enhancement plays a major role in image processing. It is applied to improve the visibility or perceptibility of objects by enhancing the brightness difference between objects and their backgrounds. In this paper, the contrast of Flat Electroencephalography (fEEG) image is enhanced by using...

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Bibliographic Details
Main Authors: Zenian, Suzelawati (Author), Ahmad, Tahir (Author), Idris, Amidora (Author)
Format: Article
Language:English
Published: Universiti Malaysia Sabah, 2019.
Subjects:
Online Access:Get fulltext
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042 |a dc 
100 1 0 |a Zenian, Suzelawati  |e author 
700 1 0 |a Ahmad, Tahir  |e author 
700 1 0 |a Idris, Amidora  |e author 
245 0 0 |a Fuzzy contrast enhancement by intensification operator in flat electroencephalography image 
260 |b Universiti Malaysia Sabah,   |c 2019. 
856 |z Get fulltext  |u http://eprints.utm.my/id/eprint/88234/1/TahirAhmad2019_FuzzyContrastEnhancementbyIntensification.pdf 
520 |a Contrast enhancement plays a major role in image processing. It is applied to improve the visibility or perceptibility of objects by enhancing the brightness difference between objects and their backgrounds. In this paper, the contrast of Flat Electroencephalography (fEEG) image is enhanced by using fuzzy approach. The fEEG image itself is a fuzzy object which is in grayscale. It is originated from a technique known as fEEG which mapped high dimensional signal into low dimensional space. Contrast improvement of fEEG image is done by using Intensification Operator (INT) and New Intensification Operator (NINT). Moreover, the output images are compared for both operators. 
546 |a en 
650 0 4 |a QA Mathematics