Downloaded 128 times
Uploaded bySilicon Mentor
Image Processing and Computer Vision
The document explains the basics of image processing and computer vision, defining images as 2D arrays of pixels with specific properties and challenges, such as aliasing and quantization. It outlines fundamental image processing operations like filtering and resampling, and highlights the relationship between computer vision and artificial intelligence, emphasizing its applications in robotics. Additionally, it mentions the company Siliconmentor as a resource for further inquiries.
More Related Content
Similar to Image Processing and Computer Vision
Image Processing and Computer Vision
- 1.
- 2. What are images? An image is a 2-d rectilinear array of pixels which are sampled from a continuous signal.
- 3. Image Properties Spatialresolution ◦ 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 digitalImages Spatial aliasing ◦ spatial resolution is lost due to sampling. Intensity quantization ◦ Quantization noise is added during conversion which reduce intensity resolution
- 5.
- 6. image processing Mainimage processing operations basically involve filtering and resampling. ◦ Blurring ◦ Edge detection ◦ Scaling ◦ Rotation ◦ Warping
- 7. Image Representation Agray 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? CVdevelops 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 ImageProcessing Computer Graphics Pattern Recognition Robotics Artificial Intelligence
- 10.
- 11. Computer Graphics Geometricmodeling
- 12.
- 13. Robotic Vision Applicationof computer vision in robotics. Some important applications include : ◦ Autonomous robot navigation ◦ Inspection and assembly
- 14. Artificial Intelligence AIis 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.
- 16. About Us Company:SiliconMentor Website: http://www.siliconmentor.com If you have any query then feel free to contact us.