Image Processing detailed syllabus for Electronics & Telecommunication Engineering (ETE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the ETE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Electronics & Telecommunication Engineering 5th Sem scheme and its subjects, do visit ETE 5th Sem 2021 regulation scheme. For Professional Elective-II scheme and its subjects refer to ETE Professional Elective-II syllabus scheme. The detailed syllabus of image processing is as follows.
Course Objectives:
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Unit I
DIGITAL IMAGE FUNDAMENTALS
Steps in Digital Image Processing – Components – Elements of Visual Perception – Image Sensing and Acquisition – Image Sampling and Quantization – Relationships between pixels – Color image fundamentals – RGB, HSI models, Two-dimensional mathematical preliminaries, 2D transforms -DFT, DCT.
Unit II
IMAGE ENHANCEMENT
Spatial Domain: Gray level transformations – Histogram processing – Basics of Spatial FilteringSmoothing and Sharpening Spatial Filtering, Frequency Domain: Introduction to Fourier TransformSmoothing and Sharpening frequency domain filters – Ideal, Butterworth and Gaussian filters, Homomorphic filtering, Color image enhancement.
Unit III
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Unit IV
IMAGE SEGMENTATION
Edge detection, Edge linking via Hough transform – Thresholding – Region based segmentation -Region growing – Region splitting and merging – Morphological processing- erosion and dilation,Segmentation by morphological watersheds – basic concepts – Dam construction -Watershedsegmentation algorithm.
Unit V
IMAGE COMPRESSION AND RECOGNITION
Need for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, JPEG standard, MPEG. Boundary representation, Boundary description, Fourier Descriptor, Regional Descriptors – Topological feature, Texture – Patterns and Pattern classes – Recognition based on matching.
Course Outcomes:
At the end of the course, the students should be able to:
- :Know and understand the basics and fundamentals of digital image processing, such as digitization, sampling, quantization, and 2D-transforms.
- Operate on images using the techniques of smoothing, sharpening and enhancement.
- Understand the restoration concepts and filtering techniques.
- Learn the basics of segmentation, features extraction, compression and recognition methods for color models.
- Comprehend image compression concepts.
Text Books:
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Reference Books:
- Kenneth R. Castleman, ‘Digital Image Processing’, Pearson, 2006.
- Rafael C. Gonzalez, Richard E. Woods, Steven Eddins, ‘Digital Image Processing using MATLAB’, Pearson Education, Inc., 2011.
- D,E. Dudgeon and RM. Mersereau, ‘Multidimensional Digital Signal Processing’, Prentice Hall Professional Technical Reference, 1990.
- William K. Pratt, ‘Digital Image Processing’, John Wiley, New York, 2002
- Milan Sonka et al ‘Image processing, analysis and machine vision’, Brookes/Cole, Vikas Publishing House, 2nd edition, 1999.
For detailed syllabus of all the other subjects of Electronics & Telecommunication Engineering 5th Sem, visit ETE 5th Sem subject syllabuses for 2021 regulation.
For all Electronics & Telecommunication Engineering results, visit Anna University ETE all semester results direct link.