Yazar "Erez, M. Emre" seçeneğine göre listele

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    Classification of Pollen Images with Structural Characteristics
    (IEEE, 2013) Erez, M. Emre; Kaya, Yilmaz; Caliskan, Abidin
    In this study, a computer vision system has been developed to separate the pollen grains of plants according to their taxonomic categories without the help of an expert person. Pollen grains have a complex three-dimensional structure however they can be distinguished from one to another with their specific features. In the research, for the classification of pollen images the local edge patterns (LEP) were used. The proposed system is consists of three stages. At first Stage, Sobel edge detection algorithm was applied to pollen images to obtained new images that have prominent structural features. At the second stage LEP features were obtained and at the last stage the classification process was performed by machine learning methods by LEP features. The 98.48% classification success were obtained by LEP features.
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    Öğe
    Classification of pollen images with structural characteristics
    (2013) Erez, M. Emre; Kaya, Yilmaz; Çaliskan, Abidin
    In this study, a computer vision system has been developed to separate the pollen grains of plants according to their taxonomic categories without the help of an expert person. Pollen grains have a complex threedimensional structure however they can be distinguished from one to another with their specific features. In the research, for the classification of pollen images the local edge patterns (LEP) were used. The proposed system is consists of three stages. At first Stage, Sobel edge detection algorithm was applied to pollen images to obtained new images that have prominent structural features. At the second stage LEP features were obtained and at the last stage the classification process was performed by machine learning methods by LEP features. The 98.48% classification success were obtained by LEP features. © 2013 IEEE.
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    Öğe
    Genetic diversity among some Asparagus species using rDNA ITS, cpDNA trnL intron sequence and screening for antioxidant activity
    (HARD Publishing Company, 2019) Altintas, Serdar; Pakyürek, Mine; Sensoy, Suat; Erez, M. Emre; Inal, Behcet
    Three species of genus Asparagus native to Lake Van Basin of Turkey were analyzed using internal transcribed spacer (ITS) and cpDNA trnL intron sequence. Furthermore, these species were screened for their antioxidant activity and total phenolic and flavonoid contents. Phylogenetic analysis based on ITS data revealed two clades: the first clade consisted of Asparagus persicus and Asparagus officinalis, and clade II consisted of Asparagus palaestinus. Similarly, phylogenetic analysis using trnL intron sequence revealed two clades. In term of total phenolic content and total flavonoid content, the highest value were measured for acetone extract of Asparagus persicus sample No. 2 and Asparagus persicus sample No. 6, respectively. The highest antioxidant activity using FRAP assay was found for Asparagus persicus sample No. 3. We concluded that these species could be useful for increasing genetic diversity among cultivated species and for breeding. © 2019, HARD Publishing Company. All rights reserved.