Adaptive Threshold Selection of Anisotropic Diffusion Filters Using Dissimilarity Transform

Mahmut Kılıçaslan

Makale detayları

Adaptive Threshold Selection of Anisotropic Diffusion Filters Using Dissimilarity Transform

Yazarlar:

Mahmut Kılıçaslan

Yayıncı:

Kirikkale University

Ana Başlıklar:

Engineering

Dergi:

International Journal of Engineering Research and Development Vol.15 Issue 2, pp.558-573

Belge Tipi:

Makale

Yayın Tarihi:

7/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001284768

pISSN:

1308-5506

Anahtar kelimeler:

Özet:

 One of the most basic steps of image processing is denoising. Diffusion filters have been used for denoising for many years, as they protect the edges. The common problem of diffusion filters, which are still being developed today, is the user intervention requirements. The diffusion threshold value is currently selected by the user. In this study, a fully adaptive threshold value selection method is presented with the help of dissimilarity transform. The main contribution of the study is the proposal of dissimilarity transformation for anisotropic diffusion filters. Experimental results show that the threshold values determined by the proposed method effectively provide denoising without being affected by noise variance and preserve the edges.

 One of the most basic steps of image processing is denoising. Diffusion filters have been used for denoising for many years, as they protect the edges. The common problem of diffusion filters, which are still being developed today, is the user intervention requirements. The diffusion threshold value is currently selected by the user. In this study, a fully adaptive threshold value selection method is presented with the help of dissimilarity transform. The main contribution of the study is the proposal of dissimilarity transformation for anisotropic diffusion filters. Experimental results show that the threshold values determined by the proposed method effectively provide denoising without being affected by noise variance and preserve the edges.

 One of the most basic steps of image processing is denoising. Diffusion filters have been used for denoising for many years, as they protect the edges. The common problem of diffusion filters, which are still being developed today, is the user intervention requirements. The diffusion threshold value is currently selected by the user. In this study, a fully adaptive threshold value selection method is presented with the help of dissimilarity transform. The main contribution of the study is the proposal of dissimilarity transformation for anisotropic diffusion filters. Experimental results show that the threshold values determined by the proposed method effectively provide denoising without being affected by noise variance and preserve the edges.

 Görüntü işlemenin en temel adımlarından biri gürültü filtreleridir. Difüzyon filtreleri, kenarları koruduklarından dolayı uzun yıllardır gürültü giderme amacıyla kullanılmaktadır. Günümüzde hala geliştirilmekte olan difüzyon filtrelerinin ortak sorunu kullanıcı müdahalesi gereksinimleridir. Difüzyon eşik değerinin belirlenmesi kullanıcı bağımlı bir aşamadır. Bu çalışmada benzemezlik dönüşümü yardımıyla tam uyarlanabilir bir eşik değer seçim yöntemi sunulmaktadır. Çalışmanın temel katkısı, anizotropik difüzyon filtreleri için benzemezlik dönüşümü önerisidir. Deneysel sonuçlar, önerilen yöntemle belirlenen eşik değerlerinin gürültü varyansından etkilenmeden gürültü gidermeyi etkin bir şekilde sağladığını ve kenarları koruduğunu göstermektedir.

Makale detayları

Adaptive Threshold Selection of Anisotropic Diffusion Filters Using Dissimilarity Transform

Yazarlar:

Mahmut Kılıçaslan

Yayıncı:

Kirikkale University

Ana Başlıklar:

Engineering

Dergi:

International Journal of Engineering Research and Development Vol.15 Issue 2, pp.558-573

Belge Tipi:

Makale

Yayın Tarihi:

7/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001284768

pISSN:

1308-5506

Anistropic diffusion filter

Adaptive threshold selection

Dissimilarity Transform

Denoising

Anizotropik difüzyon filtresi

Uyarlanabilir eşik seçimi

Benzemezlik dönüşümü

Gürültü

Sayı

Makale detayları

Yazarlar: Mahmut Kılıçaslan

Yayıncı: Kirikkale University

Ana Başlıklar: Engineering

Dergi: International Journal of Engineering Research and Development Vol.15 Issue 2, pp.558-573

Belge Tipi: Makale

Yayın Tarihi: 7/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001284768

pISSN: 1308-5506

Sayı

Yazarlar:

Mahmut Kılıçaslan

Yayıncı:

Kirikkale University

Ana Başlıklar:

Engineering

Dergi:

International Journal of Engineering Research and Development Vol.15 Issue 2, pp.558-573

Belge Tipi:

Makale

Yayın Tarihi:

7/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001284768

pISSN:

1308-5506