ECC604: Image Processing and Machine VIsion Syllabus for EC 6th Sem 2018 Pattern Mumbai University

Image Processing and Machine VIsion detailed syllabus scheme for Electronics & Telecommunication Engineering (EC), 2018 regulation has been taken from the University of Mumbai official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.

For all other Mumbai University Electronics & Telecommunication Engineering 6th Sem Syllabus 2018 Pattern, do visit EC 6th Sem 2018 Pattern Scheme. The detailed syllabus scheme for image processing and machine vision is as follows.

Image Processing and Machine VIsion Syllabus for Electronics & Telecommunication Engineering TE 6th Sem 2018 Pattern Mumbai University

Prerequisites:

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Course Objectives:

• To cover the fundamentals and mathematical models in digital image processing and Machine Vision
• To develop time and frequency domain techniques for image enhancement.
• To expose the students to classification techniques in Machine Vision
• To develop Applications using image processing and Machine Vision

Course Outcomes:

After successful completion of the course student will be able to

• Understand theory and models in image processing.
• Interpret and analyze 2D signals in Spatial and frequency domain through image transforms.
• Apply quantitative models of image processing for segmentation and restoration for various applications.
• Find shape using various representation techniques and classify the object using different classification methods.

Module 1

Digital Image Fundamentals 04

1. Introduction – Origin – Steps in Digital Image Processing , Components, Elements of Visual Perception – Image Sensing and Acquisition, Image Sampling and Quantization – Relationships between pixels, Transformation: Orthogonal, Euclidean, Affine
2. Color Image Processing: Color Fundamentals Color models.

Module 2

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Module 3

Image Enhancement 08

1. Image Negative, Log Transform, Power Law transform, Histogram equalization and Histogram Specification
2. Spatial Domain: Basics of Spatial Filtering, The Mechanics of Spatial Filtering, Generating Spatial Filter Masks-Smoothing and Sharpening Spatial Filtering
3. Frequency Domain:, The Basics of Filtering in the Frequency Domain, Smoothing and Sharpening frequency domain filters – Ideal, Butterworth and Gaussian filters, Laplacian, Unsharp Masking and Homomorphic filters

Module 4

Morphological & Image Restoration 06

1. Morphology: Erosion and Dilation, Opening and Closing, The Hit-or-Miss Transformation.
2. Restoration :Noise models – Mean Filters – Order Statistics -Adaptive filters – Band reject Filters – Band pass Filters – Notch Filters

Module 5

Image Segmentation and Boundary Representation 12

1. Point, Line, and Edge Detection: Detection of Isolated Points, Line detection, edge models, basic and advance edge detection, Edge linking and boundary detection , Canny’s edge detection algorithm
2. Thresholding : Foundation, Role of illumination, Basic Global thresholding
3. Region Based segmentation: Region Growing, Region Splitting and merging
4. Region Identification, chain code, simple geometric border representation, Fourier Transform of boundaries, Boundary description using segment sequences, B-spline representation

Module 6

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
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Text Books:

1. Milan Sonka, Vaclav Hlavac, Roger Boyle, Image Processing, Analysis, and Machine Vision Cengage Engineering, 3rd Edition, 2013
2. Gonzales and Woods, Digital Image Processing, Pearson Education, India, Third Edition,

Reference Books:

1. Anil K.Jain, Fundamentals of Image Processing, Prentice Hall of India, First Edition, 1989.
2. W Pratt, Digital Image Processing, Wiley Publication, 3rd Edition, 2002

Internal Assessment:

Assessment consists of two class tests of 20 marks each. The first class test is to be conducted when approximately 40% syllabus is completed and second class test when additional 40% syllabus is completed. The average marks of both the test will be considered for final Internal Assessment. Duration of each test shall be of one hour.

End Semester Examination:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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For detail syllabus of all other subjects of Electronics & Telecommunication Engineering (EC) 6th Sem 2018 regulation, visit EC 6th Sem Subjects syllabus for 2018 regulation.