Similarity based anisotropic diffusion filter [Benzesime dayali Yön Bagimli Yayinim Filtresi]

Different filter methods to reduce noises occurred during image capture have been developed. One of the most effective image filters is diffusion filter. However, the major drawback of conventional diffusion filter is user-dependent. While noises are reduced with conductance coefficient arbitrarily selected, edge pixels are perceived such as noise. In this study, a novel anisotropic diffusion filter using similarity values obtained with the distance of each pixel to its neighbors has been proposed. Initially, similarity values of all image pixels are computed, and then they are used as conductance coefficients in diffusion filter. The mentioned value above is user dependent for conventional diffusion and it is constant for all pixels. On the other hand, it is made adaptive and eliminated user intervention with suggested approach. Developed method has been tested with different noise variances of images and experimental results have been compared with conventional diffusion filter. © 2016 IEEE.

Yazar Tanyeri U.
Incetas M.O.
Demirci R.
Yayın Türü Conference Object
Tek Biçim Adres https://hdl.handle.net/20.500.12628/7530
Tek Biçim Adres 10.1109/SIU.2016.7496011
Konu Başlıkları anisotropic diffusion filter
similiarity coefficent
Koleksiyonlar Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed | SOBİAD
Scopus İndeksli Yayınlar Koleksiyonu
Dergi Adı 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
Sayfalar 1401 - 1404
Yayın Yılı 2016
Eser Adı
[dc.title]
Similarity based anisotropic diffusion filter [Benzesime dayali Yön Bagimli Yayinim Filtresi]
Yayıncı
[dc.publisher]
Institute of Electrical and Electronics Engineers Inc.
Yayın Türü
[dc.type]
conferenceObject
Açıklama
[dc.description]
24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- -- 122605
Özet
[dc.description.abstract]
Different filter methods to reduce noises occurred during image capture have been developed. One of the most effective image filters is diffusion filter. However, the major drawback of conventional diffusion filter is user-dependent. While noises are reduced with conductance coefficient arbitrarily selected, edge pixels are perceived such as noise. In this study, a novel anisotropic diffusion filter using similarity values obtained with the distance of each pixel to its neighbors has been proposed. Initially, similarity values of all image pixels are computed, and then they are used as conductance coefficients in diffusion filter. The mentioned value above is user dependent for conventional diffusion and it is constant for all pixels. On the other hand, it is made adaptive and eliminated user intervention with suggested approach. Developed method has been tested with different noise variances of images and experimental results have been compared with conventional diffusion filter. © 2016 IEEE.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2019-12-23
Açık Erişim Tarihi
[dc.date.available]
2019-12-23
Yayın Yılı
[dc.date.issued]
2016
Tek Biçim Adres
[dc.identifier.uri]
https://dx.doi.org/10.1109/SIU.2016.7496011
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/7530
Yayın Dili
[dc.language.iso]
tur
Konu Başlıkları
[dc.subject]
anisotropic diffusion filter
Konu Başlıkları
[dc.subject]
similiarity coefficent
Yazar
[dc.contributor.author]
Tanyeri U.
Yazar
[dc.contributor.author]
Incetas M.O.
Yazar
[dc.contributor.author]
Demirci R.
Haklar
[dc.rights]
info:eu-repo/semantics/closedAccess
Yazar Departmanı
[dc.contributor.department]
Zonguldak Bülent Ecevit Üniversitesi
İlk Sayfa Sayısı
[dc.identifier.startpage]
1401
Son Sayfa Sayısı
[dc.identifier.endpage]
1404
Dergi Adı
[dc.relation.journal]
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
ISBN
[dc.identifier.isbn]
9781509016792
Görüntülenme Sayısı ( Şehir )
Görüntülenme Sayısı ( Ülke )
Görüntülenme Sayısı ( Zaman Dağılımı )
Görüntülenme
12
09.12.2022 tarihinden bu yana
İndirme
1
09.12.2022 tarihinden bu yana
Son Erişim Tarihi
07 Nisan 2024 07:55
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diffusion filter conventional pixels values similarity conductance noises coefficients dependent mentioned constant eliminated different compared results experimental images variances tested method Developed approach suggested intervention adaptive computed Different Initially effective user-dependent drawback However filters coefficient
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