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Digital Image Processing Introduction & Fundamentals. Books. Gonzalez R.C.; Woods R.E.;”Digital Image Processing”, 3 rd edition, Prentice Hall. Gonzalez R.C.; Woods R.E.; Eddins S.L;”Digital Image Processing Using Matlab”.

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Digital Image Processing Introduction & Fundamentals


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    1. Digital Image ProcessingIntroduction & Fundamentals

    2. Books • Gonzalez R.C.; Woods R.E.;”Digital Image Processing”, 3rd edition, Prentice Hall. • Gonzalez R.C.; Woods R.E.; Eddins S.L;”Digital Image Processing Using Matlab”. • Pratt W.K.; “Digital Image Processing”, Latest Edition, John Wiley & Sons • O’Gorman L.; Sammon M.J.;”Practical algorithms for Image Analysis”

    3. Introduction to the course • Grading • Theory Exam: 80% • Theory Attendance: 10% • Theory Tests (3 regular and 2 surprise) Best of 2: 10% • Practical Exam: Test and Viva: 30% • Practical Attendance: 5% • Article Reading and Presentation: 15% • Extra Credits: If the method and experimental results of your project achieve the state of the art, you will earn the 100% credits.

    4. Introduction to the course • Article Reading and Project • Medical image analysis (MRI/PET/CT/X-ray tumor detection/classification) • Face, fingerprint, and other object recognition • Image and/or video compression • Image segmentation and/or denoising • Digital image/video watermarking/steganography and detection • Content based image retrieval (CBIR) and medical CBIR • High Dynamic Range (HDR) Imaging • Whatever you’re interested …

    5. Introduction to the course • Evaluation of article reading and project • Report • Article reading — Submit a survey of the articles you read and the list of the articles • Project — Submit an article including introduction, methods, experiments, results, and conclusions — Submit the project code, the readme document, and some testing samples (images, videos, etc.) for validation. • Presentation

    6. Journals & Conferences in Image Processing • Journals: — IEEE T IMAGE PROCESSING — IEEE T MEDICAL IMAGING — INTL J COMP. VISION — IEEE T PATTERN ANALYSIS MACHINE INTELLIGENCE — PATTERN RECOGNITION — COMP. VISION AND IMAGE UNDERSTANDING — IMAGE AND VISION COMPUTING … … • Conferences: — CVPR: Comp. Vision and Pattern Recognition — ICCV: Intl Conf on Computer Vision — ACM Multimedia — ICIP — SPIE — ECCV: European Conf on Computer Vision —CAIP: Intl Conf on Comp. Analysis of Images and Patterns … …

    7. Introduction • What is Digital Image Processing? Digital Image — a two-dimensional function x and y are spatial coordinates The amplitude of f is called intensity or gray level at the point (x, y) Digital Image Processing — process digital images by means of computer, it covers low-, mid-, and high-level processes low-level(DIP): inputs and outputs are images – reduce noise, image enhancement, sharpening etc mid-level(Image Analysis): outputs are attributes extracted from input images – edges, contours etc high-level(CV): an ensemble of recognition of individual objects Pixel — the elements of a digital image Element refers to locations having a finite discrete value

    8. Related Fields of an Image InputImage Output Image Image Processing Image Image Description Computer Graphics Image Description Statistics Pattern Recognition Image Action Computer Vision

    9. Origins of Digital Image Processing Sent by submarine cable between London and New York, the transportation time was reduced to less than three hours from more than a week

    10. Origins of Digital Image Processing