Similarity based anisotropic diffusion filter [Benzesime dayali Yön Bagimli Yayinim Filtresi]
| Autor: | Tanyeri U., Incetas M.O., Demirci R. |
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| Přispěvatelé: | Zonguldak Bülent Ecevit Üniversitesi |
| Jazyk: | turečtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Popis: | 24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- -- 122605 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. |
| Databáze: | OpenAIRE |
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