In this presentation we described important things about Image processing and computer vision. If you have any query about this presentation then feels free to visit us at: http://www.siliconmentor.com/

1. Image Processing and
Computer Vision

2. What are images?
 An image is a 2-d rectilinear array of
pixels which are sampled from a
continuous signal.

3. Image Properties
 Spatial resolution
◦ Width pixels/width cm and height pixels/ height
cm
 Intensity resolution
◦ Intensity bits/intensity range (per channel)
 Number of channels
◦ RGB is 3 channels, grayscale is one channel

4. Problems with digital Images
 Spatial aliasing
◦ spatial resolution is lost due to sampling.
 Intensity quantization
◦ Quantization noise is added during conversion
which reduce intensity resolution

5. Sampling and reconstruction

6. image processing
 Main image processing operations
basically involve filtering and resampling.
◦ Blurring
◦ Edge detection
◦ Scaling
◦ Rotation
◦ Warping

7. Image Representation
 A gray level image is usually represented
by an M by N matrix whose elements can
have values between 0 and 255 which
correspond to intensity.
 A color image is usually represented by 3
M x N matrices whose elements also have
values between 0 and 255 corresponding
to 3 primary primitives of colors Red,
Green, Blue

8. Computer Vision?
 CV develops of the theoretical concepts
and mathematical algorithmic processes
which can extract maximum useful
information about the 3D real world which
can be used by machine to analyze,
interact and operate on the 2D images of
the world.

9. Related Disciplines
 Image Processing
 Computer Graphics
 Pattern Recognition
 Robotics
 Artificial Intelligence

10. Image Processing

11. Computer Graphics
 Geometric modeling

12. Computer Vision

13. Robotic Vision
 Application of computer vision in robotics.
 Some important applications include :
◦ Autonomous robot navigation
◦ Inspection and assembly

14. Artificial Intelligence
 AI is Concerned with designing systems that
are intelligent and with studying
computational aspects of intelligence.
 It is used to analyze scenes by computing a
symbolic representation of the scene
contents after the images have been
processed to obtain features.
 Many techniques from artificial intelligence
play an important role in many aspects of
computer vision.
 Computer vision is considered a sub-field of
artificial intelligence.

15. Industrial Computer Vision System

16. About Us
 Company: SiliconMentor
 Website: http://www.siliconmentor.com
 If you have any query then feel free to
contact us.