Image processing for Instrumentation
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Follow on Instagram for UpdatesImage processing for Instrumentation Syllabus — Unit-wise Content
The official GTU curriculum for Image processing for Instrumentation (subject code 3730303) as prescribed for AI · Semester 3 divides the course into 6 units, covering 26 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 (3730303)Unit 1 Introduction
- Digital image processing and its origin
- Fundamental steps
Unit 2 Digital Image Fundamentals
- Elements of visual perception
- Light and electromagnetic spectrum
- Image sensing and acquisition
- Image sampling and quantization
- Basic relationship between pixels
- Linear and nonlinear operations
Unit 3 Intensity Transformations and Spatial Filtering
- Some basic gray level transformations
- Histogram e q u a l i z a t i o n a n d h i s t o g r a m m a t c h i n g, Enhancement using arithmetic/ logic operations
- Basics of spatial filtering
- Smoothing spatial filters
- Order statistics filters
- Sharpening spatial filters
- Implementation in MATLAB
Unit 4 Image enhancement in the Frequency Domain
- Introduction to the Fourier transform and the frequency domain
- Smoothing frequency domain filters
- Sharpening frequency domain filters
- Implementation in MATLAB
Unit 5 Image compression and Wavelet
- Image compression models
- Error free coding: variable length, LZW, bit- plane
- 2D-Wavelet transform fundamentals
- Wavelet coding
Unit 6 Morphological Image Processing
- Dilation and Erosion
- Opening and closing
- Hit-or-Miss Subject Code: 3730303 w.e.f
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