2022
DOI: 10.14569/ijacsa.2022.0130903
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Fuzzy Image Enhancement Method based on a New Intensifier Operator

Abstract: In recent years, fuzzy image enhancement methods have been widely applied in image enhancement, which generally consists of three steps: fuzzification, modify membership(using intensifier (INT) operator), and defuzzification. This paper proposed a new INT operator used in fuzzy image enhancement. The INT operator is adjustable for different test images. The image enhancement method is as follows, firstly, calculate the image threshold (T ) using the OTSU method. Secondly, calculate pivotal point p correspondin… Show more

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Cited by 3 publications
(3 citation statements)
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“…In 2023, Yang et al, [6] proposed an adjustable INT operator that has greater flexibility in enhancing images. This operator includes a parameter 'k' that is related to the image pixel's local gradient, providing adaptability to different image contexts.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In 2023, Yang et al, [6] proposed an adjustable INT operator that has greater flexibility in enhancing images. This operator includes a parameter 'k' that is related to the image pixel's local gradient, providing adaptability to different image contexts.…”
Section: Introductionmentioning
confidence: 99%
“…In 2022, Yang et al, [7] introduced fuzzy method by using an improved fuzzy c-means clustering. In the same year, Yang et al, [8] applied a new intensifier operator to enhance fuzzy images. An application on contrast improvement by using advanced fuzzy technique on Flat EEG images was presented by Zenian et al, [9].…”
Section: Introductionmentioning
confidence: 99%
“…The commonly used gray transformation method are composed by direct stretching, quadratic function, sine function, complex function, and other nonlinear functions [12][13][14][15][16][17][18][19][20]. Fuzzy set has been applied effectively in image enhancement [21][22][23][24][25][26][27]. Image enhancement is more and more widely used in various fields.…”
mentioning
confidence: 99%