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Measurement Based on Images

Measurement Based on Images. COST E54 Tampere May 6 th , 2009 Heimo Ihalainen. Measurement based on images Scientific principleS. Using images or other 2D-data to compute measurement results Measurement results may be Scalar numbers Vectors 2D – matrices 3D – structures

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Measurement Based on Images

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  1. MeasurementBased on Images COST E54 Tampere May 6th, 2009 Heimo Ihalainen

  2. Measurement based on images Scientific principleS • Using images or other 2D-data to compute measurement results • Measurement results may be • Scalar numbers • Vectors • 2D – matrices • 3D – structures • Statistical data-analysis Phases of the procedure: • Image as information source • Image acquisition systems – production of images • Preprocessing of image • Analysis of image data • Result handling • Accuracy and reliability of results COST E54 Tampere

  3. Measurement based on imagesRIDING ON MEGATRENDS • Digital photography • Sensor technology • Better quality imagesavailable • Computer technology • Usually much data – megapixels; speed, memory, parallel processing, 2D-memory models • Computational methods • Image analysis; computer tomography • Computational efficiency; transform methods COST E54 Tampere

  4. Information in image is usually wordless.It must be analyzed and combined. Not Easy! University needed! Whatcanbemeasuredfromimages? Images contain hugeamount of information. What game? Clothing? Who is the Winner? Ages? Whatspecies? Thickness? Weatherconditions? Parasiticgrowth? How many? What kinds? All males? Healthy? COST E54 Tampere

  5. Research areas at TUT/ASE • Analysis of random texture • Texture features • Texture classification and segmentation • Measurement of texture; 2D-Fourier spectrum, co-occurrence, analysis in different scales • Registration and alignment of images • Search of corresponding points in images • Fitting image transform • Transforming images into same coordinates • Forming multivariate image data • Analyzing multivariate image data COST E54 Tampere

  6. Research areas at TUT/ASE (2) • Data-analysis • Statistical methods • Image analysis • 2D-data analysis • Feature extraction and analysis • Multivariate image analysis • Development of multivariate statistical methods and software • Quality measurement • Developing measurable features to characterize quality present in image • Comparison with human perception of quality COST E54 Tampere

  7. Application areas at TUT/ASE • Paper and print quality measurement • Wood quality measurement • Image sensor noise analysis COST E54 Tampere

  8. Measurement of Paper Quality • Paper formation features measurement and analysis • quality feature as itself • affects; runnability, strength, printability • 2D-spectrum has been our most effective method to analyze and characterize formation features COST E54 Tampere

  9. Measurement of Paper Quality (2) • Paper surface topography using photometric stereo COST E54 Tampere

  10. Analysis of wiremarking and shrinkage • Using the harmonic peaks in Fourier-spectrum COST E54 Tampere

  11. Measurement of Print Quality • Image registration and alignment COST E54 Tampere

  12. Measurement of Print Quality (2) • Multivariate image analysis COST E54 Tampere

  13. Measurement of Print Quality (3)Clustering by GMM Another example of surface topography and print intensity COST E54 Tampere

  14. Wood Quality Measurement • Map of yearrings – map of growth – map of strength • Analysis of woodfaults COST E54 Tampere

  15. Wood species • Using texture of bark COST E54 Tampere

  16. Noise of Image Sensor • Computing photon transfer curve from large sample of images • On right side: Canon D30 (CMOS), Nikon D70 (CCD), Sigma SD10 (Foveon) COST E54 Tampere

  17. Measurement of Bubble Size Distribution • Back light measurement • Segmentation, size, direction and form analysis on a series of images COST E54 Tampere

  18. Courses (1) • MIT-3210 Measurement based on image 1 • Image processing • Image analysis • Basis for measurement • Computer exercises (MATLAB) COST E54 Tampere

  19. Courses (2) • MIT-3230 Measurement based on image 2 • Complementing image processing and -analysis • Applications and methods in measurement • Computer exercises (MATLAB) COST E54 Tampere

  20. COST E54 Tampere

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