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Brettschneider, Julia; Thornby, John Albert; Nichols, Thomas E.; Kendall, W. S. (2014)
Publisher: University of Warwick. Centre for Research in Statistical Methodology
Languages: English
Types: Book
Subjects: QA76

Classified by OpenAIRE into

ACM Ref: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Considering a rectangular panel of pixels arranged in a grid, we introduce a taxonomy of damages based on spatial arrangements of dysfunctional pixels. We detect these different types of damage in experimental data obtained from a detector from an X-ray machine used for additive layer manufacturing object visualisation. We model the spatial distribution of dysfunctional pixels using point pattern analysis including\ud intensity estimation and checking for CSR. As a practical application, we propose a protocol for performance monitoring for detector panels.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] Roger S Bivand, Edzer J Pebesma, and Virgilio Gomez-Rubio. Applied spatial data analysis with R, volume 747248717. Springer, 2008.
    • [2] Angela Cantatore and Pavel Muller. Introduction to computed tomography. Technical report, DTU Mechanical Engineering, 2011.
    • [3] Sung Nok Chiu, Dietrich Stoyan, Wilfrid Stephen Kendall, and Joseph Mecke. Stochastic Geometry and Its Applications. John Wiley and Sons, June 2013.
    • [4] Maire E. and Withers P. J. Quantitative X-ray tomography. International Materials Reviews, 59(1):1{43, 2013.
    • [5] Carlo Gaetan, Xavier Guyon, and Kevin Bleakley. Spatial statistics and modeling, volume 271. Springer, 2010.
    • 1000 pts, one line 1000 pts, two lines
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