Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Colour image processing and texture analysis on images of porterhouse steak meat

      Streeter, Lee; Burling-Claridge, G. Robert; Cree, Michael J.
      Thumbnail
      Files
      colour image processing.pdf
      539.9Kb
      Link
       pixel.otago.ac.nz
      Citation
      Export citation
      Streeter, L., Burling-Claridge, R. & Cree, M. J. (2005). Colour image processing and texture analysis on images of porterhouse steak meat. In Proceeedings: Image and Vision Computing New Zealand 2005, University of Otago, Dunedin, New Zealand, 28- 29th November, 2005. (pp.398-403).
      Permanent Research Commons link: https://hdl.handle.net/10289/2924
      Abstract
      This paper outlines two colour image processing and texture analysis techniques applied to meat images and assessment of error due to the use of JPEG compression at image capture. JPEG error analysis was performed by capturing TIFF and JPEG images, then calculating the RMS difference and applying a calibration between block boundary features and subjective visual JPEG scores. Both scores indicated high JPEG quality. Correction of JPEG blocking error was trialled and found to produce minimal improvement in the RMS difference. The texture analysis methods used were singular value decomposition over pixel blocks and complex cell analysis. The block singular values were classified as meat or non- meat by Fisher linear discriminant analysis with the colour image processing result used as ‘truth.’ Using receiver operator characteristic (ROC) analysis, an area under the ROC curve of 0.996 was obtained, demonstrating good correspondence between the colour image processing and the singular values. The complex cell analysis indicated a ‘texture angle’ expected from human inspection.
      Date
      2005
      Type
      Conference Contribution
      Rights
      This article has been published in the Proceeedings: Image and Vision Computing New Zealand 2005, University of Otago, Dunedin, New Zealand, 28- 29th November, 2005. Used with permission.
      Collections
      • Science and Engineering Papers [3122]
      Show full item record  

      Usage

      Downloads, last 12 months
      45
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement