Now showing items 1-7 of 7

    • Cepstrum based feature extraction method for fungus detection 

      Yorulmaz, Onur; Pearson, T.C.; Çetin, A. Enis (SPIE, 2011)
      In this paper, a method for detection of popcorn kernels infected by a fungus is developed using image processing. The method is based on two dimensional (2D) mel and Mellin-cepstrum computation from popcorn kernel images. ...
    • Classification of Camellia species from 3 sections using leaf anatomical data with back-propagation neural networks and support vector machines 

      Jiang, W.; Özaktaş Barshan, Billur; Mantri, Nitin; Tao, Z.; Lu, H. (Scientific and Technical Research Council of Turkey - TUBITAK, 2013)
      Leaf characteristics provide many useful clues for taxonomy. We used a back-propagation artificial neural network (BPANN) and C-support vector machines (C-SVMs) to classify 47 species from 3 sections of genus Camellia (16 ...
    • Classifying fonts and calligraphy styles using complex wavelet transform 

      Bozkurt, A.; Duygulu P.; Cetin, A.E. (Springer-Verlag London Ltd, 2015)
      Recognizing fonts has become an important task in document analysis, due to the increasing number of available digital documents in different fonts and emphases. A generic font recognition system independent of language, ...
    • Detection of fungal damaged popcorn using image property covariance features 

      Yorulmaz, O.; Pearson, T. C.; Çetin, A. (Elsevier, 2012)
      Covariance-matrix-based features were applied to the detection of popcorn infected by a fungus that causes a symptom called " blue-eye" . This infection of popcorn kernels causes economic losses due to the kernels' poor ...
    • Estimating the chance of success and suggestion for treatment in IVF 

      Mısırlı, Gizem (Bilkent University, 2013)
      In medicine, the chance of success for a treatment is important for decision making for the doctor and the patient. This thesis focuses on the domain of In Vitro Fertilization (IVF), where there are two issues: the first ...
    • Multi-scale directional-filtering-based method for follicular lymphoma grading 

      Bozkurt, A.; Suhre, A.; Çetin, A. Enis (Springer U K, 2014-08-07)
      Follicular lymphoma (FL) is a group of malignancies of lymphocyte origin that arise from lymph nodes, spleen, and bone marrow in the lymphatic system. It is the second most common non-Hodgkins lymphoma. Characteristic of ...
    • Naming faces on the web 

      Zitouni, Hilal (Bilkent University, 2010)
      In this study, we introduce a method to name less-frequently appearing people on the web via naming frequently appearing ones first. Current image search engines are widely used for querying a person, however; retrievals ...