Digital Image Processing (DIP)
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Digital image processing utilizes computer algorithms to enhance and manipulate digital images, providing advantages over analog methods. It encompasses various techniques and applications across fields such as medicine, law enforcement, and astronomy, involving transformations and enhancements to improve image interpretation and analysis. Overall, this field is essential for modern applications ranging from security systems to digital media.
Digital Image Processing (DIP)
- 2. SYNOPSIS INTRODUCTION WHAT IS DIGITAL IMAGE WHAT IS DIGITAL IMAGE PROCESSING WHY IMAGE PROCESSING TYPES OF DIP APPLICATIONS OF DIP CONCLUSION
- 3. Digital image processing is the use of computer algorithms to perform image processing on digital images As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. INTRODUCTION
- 4. A digital image is a representation of a two-dimensional image as a finite set of digital values, called picture elements or pixels Digitization implies that a digital image is an approximation of a real scene WHAT IS DIGITAL IMAGE 1 pixel
- 5. WHAT IS DIGITAL IMAGE(cont…) Common image formats include: – 1 sample per point (B&W or Grayscale) – 3 samples per point (Red, Green, and Blue) – 4 samples per point (Red, Green, Blue, and “Alpha”, a.k.a. Opacity)
- 6. Digital Image Processing involves • Improvement of pictorial information for human interpretation • Processing of image data for storage, transmission and representation for autonomous machine perception WHAT IS DIGITAL IMAGE PROCESSING
- 7. • Since the digital image is “invisible” it must be prepared for viewing on one or more output device (laser printer, monitor etc.) • The digital image can be optimized for the application by enhancing or altering the appearance of structures within it (based on: body part, diagnostic task, viewing preferences etc.) • It has vast range of applications in fields of Astronomy, Defense, Research, Forensics etc… WHY IMAGE PROCESSING
- 8. • Image-to-image transformations • Image-to-information transformations • Information-to-image transformations TYPES OF DIP
- 9. TYPES OF DIP EXPLAINED Image-to-Image transformation Image-to-Information transformation Information-to-Image transformation
- 10. STAGES IN IMAGE PROCESSING Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
- 11. APPLICATIONS OF DIP o Medicine o Security Systems o Document Processing o Law Enforcement & Forensics o Photography o GIS o Space exploration and Astronomy o Video and Film Special Effects
- 12. MEDICINE •Take slice from MRI scan of canine heart, and find boundaries between types of tissue – Image with gray levels representing tissue density – Use a suitable filter to highlight edgesOriginal MRI Image of a Dog Heart Edge Detection Image
- 13. G I S •Geographic Information Systems – Digital image processing techniques are used extensively to manipulate satellite imagery – Terrain classification – Meteorology
- 14. LAW ENFORCEMENT •Image processing techniques are used extensively by law enforcers – Number plate recognition for speed cameras/automated toll systems – Fingerprint recognition – Enhancement of CCTV images
- 15. SECURITY SYSTEMS It is used for identifying or verifying a person -In mobile and laptops to unlock them It is used in security systems - fingerprint, eye detection
- 16. Digital image processing allows the use of much more complex algorithms. Hence it offers both -more sophisticated performance at simple tasks -the implementation of methods which would be impossible by analog means. CONCLUSION
- 17. GOOD TO LEARN FROM BOOK BEETER TO LEARN FROM SOUNDS BEST TO LEARN FROM IMAGES FINALLY
- 18. ANY QUERIES???