Now showing items 1-5 of 5

    • Automatic detection of geospatial objects using multiple hierarchical segmentations 

      Akçay, H. G.; Aksoy, S. (Institute of Electrical and Electronics Engineers, 2008-07)
      The object-based analysis of remotely sensed imagery provides valuable spatial and structural information that is complementary to pixel-based spectral information in classification. In this paper, we present novel methods ...
    • Multilevel cluster ensembling for histopathological image segmentation 

      Şimşek, Ahmet Çağrı (Bilkent University, 2011)
      In cancer diagnosis and grading, histopathological examination of tissues by pathologists is accepted as the gold standard. However, this procedure has observer variability and leads to subjectivity in diagnosis. In order ...
    • Semi-automatic video object segmentation 

      Esen, Ersin (Bilkent University, 2000)
      Content-based iunetionalities form the core of the future multimedia applications. The new multimedia standard MPEG-4 provides a new form of interactivity with coded audio-visual data. The emerging standard MPEG-7 specifies ...
    • Unsupervised segmentation of live cell images using gaussian modeling 

      Arslan, S.; Durmaz, I.; Çetin-Atalay R.; Gündüz-Demir, C. (2011)
      The first step of targeted cancer drug development is to screen and determine drug candidates by in vitro measuring the effectiveness of the drugs. The tests developed for this purpose can be time consuming due to their ...
    • Unsupervised tissue image segmentation through object-oriented texture 

      Tosun, A.B.; Sokmensuer, C.; Gunduz-Demir, C. (2010)
      This paper presents a new algorithm for the unsupervised segmentation of tissue images. It relies on using the spatial information of cytological tissue components. As opposed to the previous study, it does not only use ...