Yazar "Turk, Mustafa" seçeneğine göre listele

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    Öğe
    Reduction in impulse noise in digital images through a new adaptive artificial neural network model
    (Springer, 2015) Budak, Cafer; Turk, Mustafa; Toprak, Abdullah
    In this paper, an adaptive artificial neural network model is developed in order to restore severely corrupted images. The proposed new and effective impulse noise reduction filter is named as adaptive neural network models with an algorithm based on artificial neural networks. Networks trained at different noise intensities get activated according to the intensity of the noise and estimate the most suitable neighboring pixel that can replace the corrupted pixel. The proposed algorithm reduces impulse noise effectively while also protecting the details. Experimental results show that the proposed algorithm performs better compared with other traditional filters.
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    Öğe
    Removal of impulse noise in digital images with naive Bayes classifier method
    (Tubitak Scientific & Technological Research Council Turkey, 2016) Budak, Cafer; Turk, Mustafa; Toprak, Abdullah
    A new method has been presented in this paper to remove randomly formed impulse noise in digital images. This method is one of the favorite learning approaches of the Bayes learning method and is frequently called the na ve Bayes classifier. It has especially been used more frequently in recent times in the field of signal processing. Prior to restoration of the noisy pixels of the image as is done here, the image is first separated into pieces, and then an associated learning set is formed for each piece using the noise-free pixels. These learning sets that are different for each piece are used in order to estimate the pixel that will replace the noisy one. The proposed method is both simple and easy to apply. Our comprehensive experimental studies show that our proposed method outperforms other filters that are very popular in the literature.
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    Öğe
    Syntheses, structural characterization and biological activities of spiro-ansa-spiro-cyclotriphosphazenes
    (Royal Soc Chemistry, 2015) Basterzi, Nisan Sevin; Kocak, Selen Bilge; Okumus, Aytug; Kilic, Zeynel; Hokelek, Tuncer; Celik, Omer; Turk, Mustafa
    The replacement reactions of the Cl-atoms in partly substituted spiro-ansa-spiro-cyclotriphosphazenes (7 and 8) with excess pyrrolidine, 4-(2-aminoethyl) morpholine, and 1,4-dioxa-8-azaspiro[4,5] decane in dry THF led to the formation of heterocyclic amine substituted cyclotriphosphazenes (9a-c and 10a-c). All cyclotriphosphazene derivatives were characterized by elemental analysis, FTIR, MS, 1D H-1, C-13 and P-31 NMR and 2D HSQC, and HMBC techniques, and the crystal structure of partly substituted cyclotriphosphazene 8 was verified by X-ray diffraction analysis. Cyclotriphosphazene derivatives (5-8, 9a-c, and 10a-c) were subjected to antimicrobial activity against seven clinic bacteria and one yeast strain, and the interactions of the phosphazenes with plasmid pBR322 DNA were investigated. Phosphazene derivatives [(5, 7, 8, 9b and 9c) and (10a and 10b)] caused a slight increase and substantial decrease in the mobility of form I DNA, respectively, while 9a caused retardation on gel. Cytotoxic, apoptotic and necrotic effects against L929 fibroblast and A549 lung cancer cells were also evaluated. While the highest toxic effect was obtained for 9a in L929 fibroblast cells and for 9c in A549 lung cancer cells at 100 mg mL(-1) concentration, the highest apoptotic effect was determined for 10a in L929 fibroblast cells and for 9a in A549 lung cancer cells at the same concentration. It was found that 9a and 10b exhibited the most necrotic effects against L929 fibroblast and A549 lung cancer cells, respectively. The toxic and necrotic effects of the phosphazenes against A549 lung cancer cells were greater than those against L929 fibroblast cells, whereas, the apoptotic effect of the compounds was greater in L929 fibroblast cells than in A549 lung cancer cells.