A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm

Ferzan Katırcıoğlu; Zafer Cingiz

doi:10.31202/ecjse.733519

A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm

Öz

Image enhancement is a necessary and indispensable technique for increasing the quality of digital images. The main task is to generate a new intensity value for each pixel in the image using a transformation function after the input image receives the intensity value of each pixel. The proposed transfer function in this study is called the Regional Similarity Transfer Function (RSTF) that considers the density distribution similarity between adjoining pixels. Dragonfly Algorithm (DA) intuitive optimization technique, which is preferred in engineering applications, has been used to optimize the parameter values of the proposed transfer function. Image quality evaluation is performed with six criteria between the improved and original images. Our experimental results show that the intensity distribution between adjoining pixels show an increase in contrast and brightness over the similarity degree. Excessive brightness, blur, and deterioration in the images is resolved with the proposed method.

Anahtar Kelimeler

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Ferzan Katırcıoğlu ^*
0000-0001-5463-3792
Türkiye

Zafer Cingiz
0000-0003-3796-755X
Türkiye

Yayımlanma Tarihi

30 Eylül 2020

Gönderilme Tarihi

7 Mayıs 2020

Kabul Tarihi

17 Ağustos 2020

Yayımlandığı Sayı

Yıl 2020 Cilt: 7 Sayı: 3

DOI

https://doi.org/10.31202/ecjse.733519

IZ

https://izlik.org/JA84KJ84BG

Kaynak Göster

RIS / Bibtex

APA

Katırcıoğlu, F., & Cingiz, Z. (2020). A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm. El-Cezeri, 7(3), 1201-1219. https://doi.org/10.31202/ecjse.733519

AMA

1.Katırcıoğlu F, Cingiz Z. A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm. ECJSE. 2020;7(3):1201-1219. doi:10.31202/ecjse.733519

Chicago

Katırcıoğlu, Ferzan, ve Zafer Cingiz. 2020. “A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm”. El-Cezeri 7 (3): 1201-19. https://doi.org/10.31202/ecjse.733519.

EndNote

Katırcıoğlu F, Cingiz Z (01 Eylül 2020) A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm. El-Cezeri 7 3 1201–1219.

IEEE

[1]F. Katırcıoğlu ve Z. Cingiz, “A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm”, ECJSE, c. 7, sy 3, ss. 1201–1219, Eyl. 2020, doi: 10.31202/ecjse.733519.

ISNAD

Katırcıoğlu, Ferzan - Cingiz, Zafer. “A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm”. El-Cezeri 7/3 (01 Eylül 2020): 1201-1219. https://doi.org/10.31202/ecjse.733519.

JAMA

1.Katırcıoğlu F, Cingiz Z. A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm. ECJSE. 2020;7:1201–1219.

MLA

Katırcıoğlu, Ferzan, ve Zafer Cingiz. “A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm”. El-Cezeri, c. 7, sy 3, Eylül 2020, ss. 1201-19, doi:10.31202/ecjse.733519.

Vancouver

1.Ferzan Katırcıoğlu, Zafer Cingiz. A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm. ECJSE. 01 Eylül 2020;7(3):1201-19. doi:10.31202/ecjse.733519

A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm

A Novel Gray Image Enhancement Using the Regional Similarity Transformation Function and Dragonfly Algorithm

Öz

Anahtar Kelimeler

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster

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