Digital Image Processing can be of paramount importance if it comes to choosing a topic for the Computer Science thesis as it involves the various image manipulation techniques to make a revolutionary mark in the research.

1. Computer Science Thesis
in
DIGITAL IMAGE PROCESSING
by SiliconMentor
www.siliconmentor.com
Phone: 0120-4293554, +91-7827766551

2. Track to Talk …..
 Introduction
 Image Processing
 Digital Image Processing
 Examples
 Conclusion
 Research Areas in Image
Processing

3. Introduction …
What Actually an IMAGE is ??
• An image is the two dimensional (2-D) picture that gives appearance
to a subject usually a physical object or a person.
Standard Image of ‘Einstein’
 The size of the row (M) and column (N) gives the size (or resolution)
of M*N image. A small block ( 8 * 8 ) of the image is indicated at the
right corner in the form of matrix. Each element in the matrix
represents the dots of the image. Each dot represents the pixel value at
that position.

4. Digital Image Processing…
• Digital Image processing is processing of images using mathematical
operations.
• It is a subfield of signals and systems but focus particularly on images.
• For which the input is an image, such as a photograph or video frame and the
output of image processing may be either an image or a set of characteristics
or parameters related to the image ,using efficient algorithms.
• In digital Image processing operation typically defines a new image g in terms
of an existing image f.
• We can transform either the range of f.
Or the domain of f:
• The most common example is Adobe Photoshop. It is one of the widely used
application for processing digital images.

5. Digital Image Processing …
• Digitization implies that a digital image is an approximation of a real scene

6. Examples: Image Enhancement

7. Examples: Artistic Effects
 Artistic effects are used to make images more visually appealing, to
add special effects and to make composite images

8. Examples: 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 edges
Original MRI Image of a Dog Heart Edge Detection Image

9. Examples: GIS
 Geographic Information Systems
◦ Digital image processing techniques are used extensively to
manipulate satellite imagery
◦ Terrain classification
◦ Meteorology

10. Examples: 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

11. Examples: HCI
Try to make human computer interfaces more natural
◦ Face recognition
◦ Gesture recognition

12. Conclusion
Image
Acquisition
Image
Restoration
Morphological
Processing
Segmentation
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain
Colour Image
Processing
Image
Compression
Digital image processing deals with developing a digital system that performs
operations on an digital image.

13. Research Areas in Image
Processing
 Image Enhancement
 Image Defogging
 Image Registration
 Image Fusion
 Image Compression/Decompression
 Image Classification
 Image Steganography
 Image Watermarking
 Image Colorization
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Contact : +91-7827766551, 0120- 4293554

14. Thank
You…….