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Course : Computer and Machine Vision


    Course Elements

Computer vision is an interdisciplinary field that deals with how computers can be made to gain high level understanding from digital images and videos. Whereas, machine vision is the technology and methods used to provide automatic inspection, process control and robot guidance. The course talks about:

> Definitions and understanding the concepts of Computer and Machine Vision.
> Terminologies used in Computer and Machine Vision.


  • Vision, the Challenge
  • LOW-LEVEL VISION
  • Thresholding Techniques
  • Edge Detection
  • Corner and Interest Point Detection
  • Mathematical Morpholog
  • Texture
  • Binary Shape Analysis
  • Boundary Pattern Analysis
  • Line Detection
  • Circle and Ellipse Detection
  • Pattern Matching Techniques
  • Three Dimensional World
  • Tackling the Perspective n-point Problem
  • Invariants and Perspective
  • Image Transformations and Camera Calibration


Machine and computer vision are distinct. It attempts to integrate existing technologies in new ways and apply them to solve real world problems. The learning outcomes of this course are:

> Working architecture of Computer and machine vision.
> Relationship between computer and machine vision.
> Points of difference between Computer and machine vision.
> Theories, algorithms and practicalities of computer and machine vision.
> Vision and Levels of Vision
- Low Level Vision
- Intermediate level Vision
- 3D Vision and Motion
> Terminology of computer and machine vision.



By Jamie Will

The Definitions and understanding the concepts of Computer and Machine Vision are easy with this course. The stepping stones for a beginner like me are well set. This course is a value for money too.

By Freddie Park

My friend recommended me this course and I am so thankful to him in doing so. Computer and Machine Vision is quite a confusing thing for me, this course explains all the topics well and without any confusion.

By Jane Mill

Computer and Machine Vision are co-related phenomena. This course is a good option if you want to learn all the concepts in a on the go manner.

By Rose Lee

This course on Computer and Machine Vision is clear, compact and condensed and caters to exactly one wants to learn. In the beginning the course talks explicitly about the basics and go on with explaining the complex parts.

By Lee Mark

This Computer and Machine Vision course caters to all of my requirements. Being a fresher in this field, it is a great foundation course. Theories, algorithms and practicalities of computer and machine vision are also well explained.


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