Advanced Image Processing
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Advanced Image Processing Syllabus — Unit-wise Content
The official GTU curriculum for Advanced Image Processing (subject code 3722610) as prescribed for EAC( · Semester 2 divides the course into 7 units, covering 53 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 (3722610)Unit 1 Basic image processing operations
- Point Operators
- Group operators
- Other statistical Operators
- Mathematical morphology
Unit 2 Low- level feature extraction ( including edge detection)
- First-order edge detection operators
- Second- order edge detection operators
- Other edge detection operators
- Comparison of edge detection operators
- Phase Congruency
- Localized feature extraction
- Detecting image curvature
- Describing image motion
Unit 3 Feature extraction by shape matching
- Thresholding and subtraction
- Template matching
- Hough transform (HT)
- Generalized Hough transform (GHT)
- Other extensions to the HT
Unit 4 Flexible shape extraction ( snakes and other techniques)
- Deformable templates
- Active contours (snakes)
- Shape skeletonization
- Flexible shape models: active shape and active appearance
Unit 5 Object description
- Boundary descriptions(Boundary and region
- Chain codes
- Fourier descriptors)
- Region descriptors(Basic region descriptors
Unit 6 Subject Code
- AY 2018-19 6 Introduction to texture description
- segmentation and classification Overview
- What is texture
- Texture description(Performance requirements
- Structural approaches
- Statistical approaches
- Combination approaches)
- Classification(The k-nearest neighbor rule
- Other classification approaches)
Unit 7 3D Image Acquisition
- Volume imaging vs. sections
- Basics of reconstruction
- Algebraic reconstruction methods
- Maximum entropy
- Defects in reconstructed images
- Imaging geometries
- Three-dimensional tomography
- High resolution tomography 6 8 3D Image Visualization Sources of 3D data
- Serial sections
- Optical sectioning Sequential removal Stereo
- 3D data sets
- Slicing the data set, Arbitrary section planes
- The use of color
- Volumetric display
- Stereo Viewing
- Special display hardware
- Ray tracing
- Multiply connected surfaces
- Image processing in 3D, Measurements on 3D images
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