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Digital Image Processing. Chapter 1: Introduction. What Is Digital Image Processing?. A sample digital image. 662*640*256. y. x.

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Digital Image Processing


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    Presentation Transcript
    1. Digital Image Processing Chapter 1: Introduction

    2. What Is Digital Image Processing? • A sample digital image. 662*640*256. y x

    3. f(x,y): A two-dimensional function, where x and y are spatial coordinates, and the amplitude of f at any pair of coordinates (x,y) is called the intensity or gray level of the image at that point. • x size: 662, y size: 640, gray levels: 256 • Digital image: x, y, and the amplitude values of f are all finite, discrete quantities

    4. A sample color digital image, 800*600*24 bits

    5. Pixel: The elements of a digital image. Pixels

    6. Some applications • FUJIFILM: Searching faces, Fuji.htm • License plates, Licence.htm • Tracking people, Hand.htm

    7. The Origins of Digital Image Processing • One of the first applications of digital images was in the newspaper industry, when pictures were first sent by submarine cable between London and New York.

    8. Better quality

    9. 15-tone equipment

    10. From computers, meaningful image processing tasks appeared.

    11. Medical imaging • Remote Earth resource observations • Astronomy • High-energy plasmas and electron microscopy

    12. Examples of Fields tat Use Digital Image Processing • Electromagnetic energy spectrum

    13. Gamma-Ray Imaging

    14. X-ray Imaging

    15. Imaging in the Ultraviolet Band

    16. Imaging in the Visible and Infrared Bands

    17. Remote sensing

    18. Weather Observation, visible and infrared bands

    19. Infrared imaging

    20. Automated visual inspection

    21. Imaging in the Microwave Band

    22. Imaging in the Radio Band • MRI

    23. Examples in which Other Imaging Modalities Are Used • Sound

    24. Ultrasound

    25. Electron Microscope

    26. Images generated by computers

    27. Fundamental Steps in Digital Image Processing • Methods whose input and output are images • Methods whose outputs are attributes extracted from those images

    28. Image operations

    29. Spatial filtering

    30. Filtering in the frequency domain

    31. Image restoration

    32. Color image processing

    33. Components of an Image Processing System