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Computer Graphics & Image Processing Lecture 1 Introduction

Computer Graphics & Image Processing Lecture 1 Introduction. ROBIN WALIA Lecturer ECE DEPARTMENT MMEC, MULLANA-AMBALA Email:: robinwalia1@gmail.com Office Room #:: 220. Text Book (s). Gonzalez, R. C. and Woods, R. E., Digital Image

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Computer Graphics & Image Processing Lecture 1 Introduction

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  1. Computer Graphics & Image ProcessingLecture 1Introduction

  2. ROBIN WALIA Lecturer ECE DEPARTMENT MMEC, MULLANA-AMBALA Email:: robinwalia1@gmail.com Office Room #:: 220

  3. Text Book (s) • Gonzalez, R. C. and Woods, R. E., Digital Image Processing, Second Edition, Pearson-Prentice Hall, Inc., 2002. ISBN 81-7758-168-6. • Gonzalez, R. C., Woods, R. E., and Eddins, S. L., Digital Image Processing Using MATLAB®, Pearson-Prentice Hall, Inc., 2004, ISBN 81-7758-898-2.

  4. Computer Graphics Graphics are visual presentations on some surface, such as a wall, computer screen, paper, or stone to brand, or entertain. Examples are photographs, drawings, graphs, diagrams, maps, engineering drawings, or other images Computer graphics are graphics created using computers and, more generally, the representation and manipulation of pictorial data by a computer. Developments in computer graphics have had a profound impact on many types of media and have revolutionized the animation and video game industry.

  5. Computer Graphics The term Computer Graphics has several meanings: the representation and manipulation of pictorial data by a computer the various technologies used to create and manipulate such pictorial data, and the images so produced

  6. What is an Image? • Image is a source of information according to information theory • An image may be defined as a two dimensional function f(x,y) where x and y are spatial coordinates and amplitude of f at any pair of coordinates (x,y) is called the intensity or Gray level of the image at that point.

  7. Digital Image • When x,y and the amplitude values of f are all finite, discrete quantities, we call the image a Digital Image. • A digital Image is composed of a finite number of elements each of which has a particular location and value • These elements are referred to as Picture Elements, Image Elements, Pels or Pixels.

  8. Pixel In digital imaging, a pixel is the smallest piece of information in an image. Pixels are normally arranged in a regular 2-dimensional grid, and are often represented using dots or squares The intensity of each pixel is variable; in color systems, each pixel has typically three or four components such as red, green, and blue, or cyan, magenta, yellow, and black

  9. Why do we Process Images? Facilitate picture storage and transmissionEnhance and restore imagesExtract information from imagesPrepare for display or Printing

  10. EM Spectrum

  11. Key Stages in Digital Image Processing Image Restoration Morphological Processing Image Enhancement Segmentation Image Acquisition Representation & Description Object Recognition Problem Domain Color Image Processing Image Compression

  12. Images taken from Gonzalez & Woods, Digital Image Processing (2002) Key Stages in Digital Image Processing:Image Acquisition Image Restoration Morphological Processing Image Enhancement Segmentation Image Acquisition Representation & Description Object Recognition Problem Domain Color Image Processing Image Compression

  13. Images taken from Gonzalez & Woods, Digital Image Processing (2002) Key Stages in Digital Image Processing:Image Enhancement Image Restoration Morphological Processing Image Enhancement Segmentation Image Acquisition Representation & Description Object Recognition Problem Domain Color Image Processing Image Compression

  14. Images taken from Gonzalez & Woods, Digital Image Processing (2002) Key Stages in Digital Image Processing:Image Restoration Image Restoration Morphological Processing Image Enhancement Segmentation Image Acquisition Representation & Description Object Recognition Problem Domain Color Image Processing Image Compression

  15. Images taken from Gonzalez & Woods, Digital Image Processing (2002) Key Stages in Digital Image Processing:Morphological Processing Image Restoration Morphological Processing Image Enhancement Segmentation Image Acquisition Object Recognition Representation & Description Problem Domain Color Image Processing Image Compression

  16. Images taken from Gonzalez & Woods, Digital Image Processing (2002) Key Stages in Digital Image Processing:Segmentation Morphological Processing Image Restoration Image Enhancement Segmentation Image Acquisition Representation & Description Object Recognition Problem Domain Color Image Processing Image Compression

  17. Images taken from Gonzalez & Woods, Digital Image Processing (2002) Key Stages in Digital Image Processing:Representation & Description Image Restoration Morphological Processing Image Enhancement Segmentation Image Acquisition Representation & Description Object Recognition Problem Domain Color Image Processing Image Compression

  18. Images taken from Gonzalez & Woods, Digital Image Processing (2002) Key Stages in Digital Image Processing:Object Recognition Image Restoration Morphological Processing Image Enhancement Segmentation Image Acquisition Representation & Description Object Recognition Problem Domain Color Image Processing Image Compression

  19. Key Stages in Digital Image Processing:Image Compression Image Restoration Morphological Processing Image Enhancement Segmentation Image Acquisition Representation & Description Object Recognition Problem Domain Color Image Processing Image Compression

  20. Images taken from Gonzalez & Woods, Digital Image Processing (2002) Key Stages in Digital Image Processing:Colour Image Processing Image Restoration Morphological Processing Image Enhancement Segmentation Image Acquisition Representation & Description Object Recognition Problem Domain Color Image Processing Image Compression

  21. Applications of Image Processing

  22. 1. Image Restoration

  23. Image Colorization

  24. Image Enhancement

  25. Face Detection

  26. Face Tracking

  27. Face Morphing

  28. Finger Print Recognition

  29. Personal Identification Using Iris Recognition

  30. Image Processing Components Image Sensing deviceStorage MediaProcessing SystemsDisplaysCommunication MediaHardcopy devices (e.g Printer)

  31. Camera Lens (CMount, CSMount, Motorized) Optical Filter (Selectivity in EM waves) Imaging Sensor (CCD Sensor) Flash (Used for lighting/Illumination)Front Illumination Back IlluminationDigitizer

  32. Processing systems PC basedGeneral purpose PCs Servers Industrial PCsEmbedded system basedDSP processor based FPGA based System on chip (SoC)

  33. Any question

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