Image Processing detail syllabus for Telecommunication Engineering (Telecom), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17TE655), 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 telecom 6th sem syllabus for be 2017 scheme vtu you can visit Telecom 6th Sem syllabus for BE 2017 Scheme VTU Subjects. For all other Professional Elective-2 subjects do refer to Professional Elective-2. The detail syllabus for image processing is as follows.
Course Objectives:
The objectives of this course are to understand:
- The fundamentals of digital image processing
- Image transform used in digital image processing
- Frequency domain and time domain image enhancement techniques
- Image restoration techniques and methods used in digital image processing
- Morphological Operations and Segmentation used in digital image processing
Module 1
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Module 2
Image Enhancement in the Spatial Domain: Background, Some Basic Intensity Transformation Functions, Histogram Processing, Enhancement Using Arithmetic/Logic Operations, Fundamentals of Spatial Filtering, Smoothing and sharpening Spatial Filters. [Text 1: Chapter 3: Sections 3.1 to 3.6]
Module 3
Filtering, Image Restoration: Preliminary Concepts, The Discrete Fourier Transform (DFT) of One Variable, Extension to Functions of Two Variables, Some Properties of the 2-D Discrete Fourier Transform, Frequency Domain Filtering, A Model of the Image degradation/Restoration process, Noise Models, Restoration in the Presence of Noise Only-Spatial Filtering, homomorphic filtering. [Text 1: Chapter 4: Sections 4.2, 4.4 to 4.7, 4.9.6 and Chapter 5: Sections 5.2, 5.3]
Module 4
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Module 5
Image Segmentation and Representation: Thresholding, Region-Based Segmentation, Boundary Following, Chain Codes, Polygonal Approximations using Minimum-Perimeter Polygons, Other Polygonal Approximation Approaches, Signature, Boundary Segmentations.
[Text 1: Chapter: Sections: 10.3, 10.4 and Chapter 11: Section 11.1]
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 Telecom, 2017 regulation do visit Telecom 6th Sem syllabus for 2017 Regulation.
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