Now showing items 1-7 of 7

    • Fast insect damage detection in wheat kernels using transmittance images 

      Çataltepe, Z.; Pearson, T.; Cetin, A. Enis (IEEE, 2004-07)
      We used transmittance images and different learning algorithms to classify insect damaged and un-damaged wheat kernels. Using the histogram of the pixels of the wheat images as the feature, and the linear model as the ...
    • Feasibility of impact-acoustic emissions for detection of damaged wheat kernels 

      Pearson, T.; Çetin, A. Enis; Tewfik, A. H.; Haff, R. P. (Elsevier BV, 2007-05)
      A non-destructive, real time device was developed to detect insect damage, sprout damage, and scab damage in kernels of wheat. Kernels are impacted onto a steel plate and the resulting acoustic signal analyzed to detect ...
    • Identification of damaged wheat kernels and cracked-shell hazelnuts with impact acoustics time-frequency patterns 

      Ince, N. F.; Onaran, I.; Pearson, T.; Tewfik, A. H.; Çetin, A. Enis; Kalkan, H.; Yardimci, Y. (American Society of Agricultural and Biological Engineers, 2008)
      A new adaptive time-frequency (t-f) analysis and classification procedure is applied to impact acoustic signals for detecting hazelnuts with cracked shells and three types of damaged wheat kernels. Kernels were dropped ...
    • Identification of insect damaged wheat kernels using transmittance images 

      Çataltepe, Z.; Çetin, A. Enis; Pearson, T. (IEEE, 2004)
      We used transmittance images and different learning algorithms to classify insect damaged and un-damaged wheat kernels. Using the histogram of the pixels of the wheat images as the feature, and the linear model as the ...
    • Identification of insect damaged wheat kernels using transmittance images 

      Cataltepe, Z.; Çetin, A. Enis; Pearson, T. (The Institution of Engineering and Technology, 2005)
      Transmittance images of wheat kernels are used to classify insect damaged and undamaged wheat kernels. The histogram of pixel intensities of the wheat images were used as the features. Combination of the linear model and ...
    • An overview of signal processing for food inspection 

      Pearson, T.; Çetin, A. Enis; Tewfik, A. H.; Gokmen, V. (Institute of Electrical and Electronics Engineers, 2007-05)
      The goal of this article is to introduce the signal processing community to the challenges that arise in food inspection. We briefly describe both traditional food-inspection technologies, which rely on sample collection ...
    • Wheat and hazelnut inspection with impact acoustics time-frequency patterns 

      İnce, N. F.; Onaran, İbrahim; Tewfik, A. H.; Kalkan, H.; Pearson, T.; Çetin, A. Enis; Yardimci, Y. (ASABE, 2007-06)
      Kernel damage caused by insects and fungi is one of the most common reason for poor flour quality. Cracked hazelnut shells are prone to infection by cancer producing mold. We propose a new adaptive time-frequency classification ...