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Dip 1 introduction

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Digital Image Processing Lecture-1
By Manas Ranjan Mantri

Veröffentlicht in: Ingenieurwesen
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Dip 1 introduction

  1. 1. DIGITAL IMAGE PROCESSING INTRODUCTION Processing of Images which are Digital in nature by means of Digital Computer E C E D E P A R T M E N T Manas Ranjan Mantri (mr.mantri@gmail.com)
  2. 2. Digital Image Processing Why do we need Digital Image Processing?  Improvement of pictorial information for human perception  Efficient storage and transmission  Image processing for autonomous application CENTURION INSTITUTE OF TECHNOLOGY, JATNI 2 E C E D E P A R T M E N T
  3. 3. Human Perception Image processing employ methods capable of enhancing pictorial information for human interpretation and analysis. Typical applications:  Noise filtering  Contrast enhancement  De-blurring CENTURION INSTITUTE OF TECHNOLOGY, JATNI 3 E C E D E P A R T M E N T
  4. 4. Image Enhancement CENTURION INSTITUTE OF TECHNOLOGY, JATNI 4 E C E D E P A R T M E N T Noisy Image Filtered Image
  5. 5. Image Enhancement CENTURION INSTITUTE OF TECHNOLOGY, JATNI 5 E C E D E P A R T M E N T Low contrast Image Enhanced Image
  6. 6. Image Enhancement CENTURION INSTITUTE OF TECHNOLOGY, JATNI 6 E C E D E P A R T M E N T Enhanced Image Darker Image
  7. 7. Image Enhancement CENTURION INSTITUTE OF TECHNOLOGY, JATNI 7 E C E D E P A R T M E N T Enhanced Image Brighter Image
  8. 8. CENTURION INSTITUTE OF TECHNOLOGY, JATNI 8 E C E D E P A R T M E N T Image Enhancement Blurred Image Deblurred Image
  9. 9. CENTURION INSTITUTE OF TECHNOLOGY, JATNI 9 E C E D E P A R T M E N T Image Enhancement Blurred Image Deblurred Image
  10. 10. Medical Imaging CENTURION INSTITUTE OF TECHNOLOGY, JATNI 10 E C E D E P A R T M E N T Original Image Enhanced Image
  11. 11. Machine Vision Application Here we extract information which are suitable for computer processing. Typical application:  For product assembly and inspection  Automated target detection and tracking  Finger print recognition  Aerial and satellite imagery for weather prediction CENTURION INSTITUTE OF TECHNOLOGY, JATNI 11 E C E D E P A R T M E N T
  12. 12. Automated Inspection CENTURION INSTITUTE OF TECHNOLOGY, JATNI 12 E C E D E P A R T M E N T Bottling plant automation
  13. 13. CENTURION INSTITUTE OF TECHNOLOGY, JATNI 13 E C E D E P A R T M E N T Automated Inspection Damaged Integrated Circuit
  14. 14. Weather forecasting CENTURION INSTITUTE OF TECHNOLOGY, JATNI 14 E C E D E P A R T M E N T Image of Hurricane
  15. 15. Radar Imaging CENTURION INSTITUTE OF TECHNOLOGY, JATNI 15 E C E D E P A R T M E N T Image of Mountain
  16. 16. Steps in Digital Image Processing CENTURION INSTITUTE OF TECHNOLOGY, JATNI 16 E C E D E P A R T M E N T
  17. 17. Image Acquisition CENTURION INSTITUTE OF TECHNOLOGY, JATNI 17 E C E D E P A R T M E N T Imaging sensor & capability to digitize the signal collected by the sensor  Video camera  Digital camera  Conventional camera & analog-to-digital converter
  18. 18. Preprocessing  To improve the image to ensure the success of further processes  e.g.  Enhancing contrast  Removing noise  Identifying information-rich areas CENTURION INSTITUTE OF TECHNOLOGY, JATNI 18 E C E D E P A R T M E N T
  19. 19. Segmentation  To partition the image into its constituent parts (objects)  Raw data, depicting either boundaries or whole regions (corners vs. texture for example)  Need conversion to a form suitable for computer processing CENTURION INSTITUTE OF TECHNOLOGY, JATNI 19 E C E D E P A R T M E N T
  20. 20. Representation & Description  Feature selection (description) deals with extracting:  Features that result in quantitative information of interest  Features that are important for differentiating one class of objects from another CENTURION INSTITUTE OF TECHNOLOGY, JATNI 20 E C E D E P A R T M E N T
  21. 21. Recognition & Interpretation  To assign a label to an object based on information provided by the descriptors  To assign meaning to a group of recognized objects CENTURION INSTITUTE OF TECHNOLOGY, JATNI 21 E C E D E P A R T M E N T
  22. 22. Knowledge Base Knowledge database  Guides the operation of each processing module and controls the interaction between modules CENTURION INSTITUTE OF TECHNOLOGY, JATNI 22 E C E D E P A R T M E N T
  23. 23. Different Components CENTURION INSTITUTE OF TECHNOLOGY, JATNI 23 E C E D E P A R T M E N T
  24. 24. Questions??????? 1. Define Digital Image Processing. 2. What is the need of Digital Image Processing? 3. What are the various fields that use digital image processing ? 4. What are the fundamental steps in digital image processing? 5. What are the components of Image processing system? CENTURION INSTITUTE OF TECHNOLOGY, JATNI 24 E C E D E P A R T M E N T

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