Digital Image Processing detail syllabus for Electronics & Communication Engineering (Ece), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17EC72), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.
For all other ece 7th sem syllabus for be 2017 scheme vtu you can visit ECE 7th Sem syllabus for BE 2017 Scheme VTU Subjects. The detail syllabus for digital image processing is as follows.
Course Objectives:
The objectives of this course are to:
- Understand the fundamentals of digital image processing
- Understand the image transform used in digital image processing
- Understand the image enhancement techniques used in digital image processing
- Understand the image restoration techniques and methods used in digital image processing
- Understand the Morphological Operations and Segmentation used in digital image processing
Module 1
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Module 2
Spatial Domain: Some Basic Intensity Transformation Functions, Histogram Processing, Fundamentals of Spatial Filtering, Smoothing Spatial Filters, Sharpening Spatial Filters Frequency Domain: Preliminary Concepts, The Discrete Fourier Transform (DFT) of Two Varia[Text: Chapter 3: Sections 3.2 to 3.6 and Chapter 4: Sections 4.2, 4.5 to 4.10]
Module 3
Restoration: Noise models, Restoration in the Presence of Noise Only using Spatial Filtering and Frequency Domain Filtering, Linear, Position-Invariant Degradations, Estimating the Degradation Function, Inverse Filtering, Minimum Mean Square Error (Wiener) Filtering, Constrained Least Squares Filtering. [Text: Chapter 5: Sections 5.2, to 5.9]
Module 4
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Module 5
Segmentation: Point, Line, and Edge Detection, Thresholding, Region-Based Segmentation, Segmentation Using Morphological Watersheds.
Representation and Description: Representation, Boundary descriptors.
[Text: Chapter 10: Sections 10.2, to 10.5 and Chapter 11: Sections 11.1 and 11.2]
Course Outcomes:
At the end of the course students should be able to:
- Understand image formation and the role human visual system plays in perception of gray and color image data.
- Apply image processing techniques in both the spatial and frequency (Fourier) domains.
- Design image analysis techniques in the form of image segmentation and to evaluate the Methodologies for segmentation.
- Conduct independent study and analysis of Image Enhancement techniques.
Text Books:
Digital Image Processing- Rafel C Gonzalez and Richard E. Woods, PHI 3rd Edition 2010.
Reference Books:
- Digital Image Processing- S.Jayaraman, S.Esakkirajan, T.Veerakumar, Tata McGraw Hill 2014.
- Fundamentals of Digital Image Processing-A. K. Jain, Pearson 2004.
For detail syllabus of all other subjects of BE Ece, 2017 scheme do visit Ece 7th Sem syllabus for 2017 scheme.
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