Machine Vision
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Machine Vision Syllabus — Unit-wise Content
The official GTU curriculum for Machine Vision (subject code 3162009) as prescribed for Mechatronics · Semester 6 divides the course into 4 units, covering 40 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3162009)Unit 1 Introduction
- Comparison with human visual system and perception level
- digital image presentation
- Definitions of digital image
- Examples of the fields that use digital image processing
- fundamental steps in image processing
- components / elements of digital image processing systems
- image acquisition
- communication and display
Unit 2 Digital Image Fundamentals
- Elements of visual perception – brightness adaption and discrimination
- light and electromagnetic spectrum
- image sensing and acquisition
- sampling and quantization
- some basic relationships between pixels
- distance measures
- different types of image sensors
- different types of file formats
Unit 3 Image Enhancement in Spatial Domain
- point processing and mask processing
- Basic gray level transformations
- histogram processing
- histogram equalization
- histogram matching
- local enhancement
- histogram statistics
- image subtraction
- image averaging
- basics of spatial filtering – smoothing
- sharpening filters and order statistics filters
Unit 4 Image Enhancement in Frequency domain
- introduction to Fourier Transform and frequency domain
- The discrete Fourier Transforms – properties of 2-D Fourier Transform
- smoothing frequency domain filters – ideal
- butter worth
- Gaussian low pass filters with additional examples of low pass filters
- sharpening frequency domain filters – ideal
- Gaussian and Laplacian filters
- unsharp masking
- high boost filtering
- homomorphic filtering
- convolution and correlation
- additional properties of 2-D Fourier transfer
- Periodicity and need for padding. 8 Subject Code: 3162009 w.e.f
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