Now showing items 1-20 of 73

    • 2-D adaptive prediction based Gaussianity tests in microcalcification detection 

      Nafi Gürcan, M.; Yardimci, Y.; Enis Çetin, A. (1998)
      With increasing use of Picture Archiving and Communication Systems (PACS), Computer-aided Diagnosis (CAD) methods will be more widely utilized. In this paper, we develop a CAD method for the detection of microcalcification ...
    • Accelerated phase-cycled SSFP imaging with compressed sensing 

      Çukur, T. (Institute of Electrical and Electronics Engineers Inc., 2015)
      Balanced steady-state free precession (SSFP) imaging suffers from irrecoverable signal losses, known as banding artifacts, in regions of large B0 field inhomogeneity. A common solution is to acquire multiple phase-cycled ...
    • Adaptive grids: an image-based approach to generate navigation meshes 

      Akaydın, A.; Güdükbay, U. (S P I E - International Society for Optical Engineering, 2013-02-01)
      We propose adaptive grids, an image-based approach for constructing navigation meshes, which are used for path planning. A cellular navigation mesh, called an adaptive grid, is constructed from a top-view range image of a ...
    • Analog CMOS implementation of cellular neural networks 

      Baktır, I. A.; Tan, M. A. (IEEE, 1993)
      The analog CMOS circuit realization of cellular neural networks with transconductance elements is presented. This realization can be easily adapted to various types of applications in image processing just by choosing the ...
    • Autofocused spotlight SAR image reconstruction of off-grid sparse scenes 

      Camlıca, S.; Gurbuz, A. C.; Arıkan, O. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Synthetic aperture radar (SAR) has significant role in remote sensing. Phase errors due to uncompensated platform motion, measurement model mismatch, and measurement noise can cause degradations in SAR image reconstruction. ...
    • 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 ...
    • Automatic image captioning 

      Pan J.-Y.; Yang H.-J.; Duygulu P.; Faloutsos, C. (2004)
      In this paper, we examine the problem of automatic image captioning. Given a training set of captioned images, we want to discover correlations between image features and keywords, so that we can automatically find good ...
    • Bar code localization by image processing 

      Öktem, R.; Çetin, A.E. (2005)
      This paper addresses the problem of bar code recognition by use of image processing. Bar codes are composed of parallel alternating dark-light stripes; hence they also appear as parallel lines connected at some orientation ...
    • Block wavelet transforms for image coding 

      Çetin, A. E.; Gerek, Ö. N.; Ulukuş, Ş. (IEEE, 1993)
      In this paper, a new class of block transforms is presented. These transforms are constructed from subband decomposition filter banks corresponding to regular wavelets. New transforms are compared to the discrete cosine ...
    • BRAPH: A graph theory software for the analysis of brain connectivity 

      Mijalkov, M.; Kakaei, E.; Pereira, J. B.; Westman, E.; Volpe, G. (Public Library of Science, 2017)
      The brain is a large-scale complex network whose workings rely on the interaction between its various regions. In the past few years, the organization of the human brain network has been studied extensively using concepts ...
    • Carcinoma cell line discrimination in microscopic images using unbalanced wavelets 

      Keskin F.; Suhre, A.; Erşahin, T.; Çetin-Atalay R.; Çetin, A. E. (2012)
      Cancer cell lines are widely used for research purposes in laboratories all over the world. In this paper, we present a novel method for cancer cell line image classification, which is very costly by conventional methods. ...
    • Cepstrum based feature extraction method for fungus detection 

      Yorulmaz O.; Pearson, T.C.; Çetin, A.E. (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. ...
    • Co-Difference Based Object Tracking Algorithm for Infrared Videos 

      Demir, H. S.; Cetin, A. E. (IEEE Computer Society, 2016)
      This paper presents a novel infrared (IR) object tracking algorithm based on the co-difference matrix. Extraction of co-difference features is similar to the well known covariance method except that the vector product ...
    • A color and shape based algorithm for segmentation of white blood cells in peripheral blood and bone marrow images 

      Arslan, S.; Ozyurek, E.; Gunduz Demir, C. (John Wiley & Sons, Inc., 2014)
      Computer-based imaging systems are becoming important tools for quantitative assessment of peripheral blood and bone marrow samples to help experts diagnose blood disorders such as acute leukemia. These systems generally ...
    • Compressive sensing based flame detection in infrared videos 

      Günay O.; Enis Çetin, A. (2013)
      In this paper, a Compressive Sensing based feature extraction algorithm is proposed for flame detection using infrared cameras. First, bright and moving regions in videos are detected. Then the videos are divided into ...
    • Computer vision based forest fire detection 

      Uǧur Töreyin, B.; Enis Çetin, A. (2008)
      Lookout posts are commonly installed in the forests all around Turkey and the world. Most of these posts have electricity. Surveillance cameras can be placed on to these surveillance towers to detect possible forest fires. ...
    • Computer vision based text and equation editor for LATEX 

      Öksüz Ö.; Güdükbay, U.; Çetin, E. (2004)
      In this paper, we present a computer vision based text and equation editor for LATEX. The user writes text and equations on paper and a camera attached to a computer records actions of the user. In particular, positions ...
    • Content-based retrieval of news videos using relevance feedback 

      Çavuş Ö.; Aksoy, S. (2006)
      Content-based retrieval in news video databases has become an important task with the availability of large quantities of data in both public and proprietary archives. We describe a relevance feedback technique that captures ...
    • Continuous processing of images through user sketched functional blocks 

      Kaya, A.; Ozguc, B. (Wiley-Blackwell, 1988)
      Our aim is to implement an image processing system with previously defined algorithms through the use of functional blocks connected together to form a diagram that we call a schematic. A functional block means the ...
    • Current constrained voltage scaled reconstruction (CCVSR) algorithm for MR-EIT and its performance with different probing current patterns 

      Birgül, Ö.; Eyüboğlu, B. M.; İder, Y. Z. (Institute of Physics Publishing, 2003)
      Conventional injected-current electrical impedance tomography (EIT) and magnetic resonance imaging (MRI) techniques can be combined to reconstruct high resolution true conductivity images. The magnetic flux density ...