Image Processing detailed syllabus scheme for Information Technology (IT), 2018 regulation has been taken from the MU 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 5th Sem Scheme of Information Technology (IT), 2018 Pattern, do visit IT 5th Sem Scheme, 2018 Pattern. For the Department Level Optional Course-1 scheme of 5th Sem 2018 regulation, refer to IT 5th Sem Department Level Optional Course-1 Scheme 2018 Pattern. The detail syllabus for image processing is as follows.
Image Processing Syllabus for Information Technology TE 5th Sem 2018 Pattern Mumbai University
Course Objectives:
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 pdfs platform to make students’s lives easier.
.
Course Outcomes:
Students should be able to:
- Remember the fundamental concepts of image processing.
- Explain different Image enhancement techniques
- Understand and review image transforms
- Analyze the basic algorithms used for image processing &image compression with morphological image processing.
- Contrast Image Segmentation and Representation
- Design & Synthesize Color image processing and its real world applications.
Prerequisites:
Mathematics and Statistics.
Module I
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 pdfs platform to make students’s lives easier..
Module II
Image enhancement Intensity Transformations and Spatial Filtering, Histogram processing, Filtering in Frequency Domain 09 CO 2
Module III
Image transforms Discrete Fourier transform – Properties of two dimensional DFT, DCT, DST, Walsh, Hadamard, Haar Transform and their properties. 07 CO 3
Module IV
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 pdfs platform to make students’s lives easier..
Module V
Image segmentation and representation The detection of discontinuities – Point, Line and Edge detections , Hough Transform, Thresholding Region based segmentation Chain codes, Polygon approximation, Shape numbers, Fourier descriptors, statistical Moments. 08 CO 5
Module VI
Color Image Processing and Applications Color Fundamentals and Models, Pseudocolor Image Processing, Smoothing and Sharpening, Image Segmentation Based on Color. Biometric Authentication, Digital watermarking, Content Base Image Retrieval. Vector quantization 08 CO 6
Text Books:
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 pdfs platform to make students’s lives easier..
Reference Books:
- Sid Ahmed M.A., Image Processing Theory, Algorithm and Architectures, McGraw-Hill, 1995.
- Kenneth R Castleman, Digital Image Processing, Prentice Hall, New Delhi, 1996.
- Anil.K.Jain, Fundamentals of Digital Image Processing, Prentice Hall of India Pvt Ltd., New Delhi, 1995.
- S. Sridhar, Digital Image Processing, second Edition, Oxford university press, New Delhi, 2016.
- S. Jayaraman, S. Esakkirajan, T. Veerakumar Digital Image Processing, McGraw-Hill,
Assessment:
Internal Assessment for 20 marks: Consisting of Two Compulsory Class Tests Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to 50% of syllabus contents must be covered in second test. End Semester Theory Examination: Some guidelines for setting the question papers are as:
- Weightage of each module in end semester examination is expected to be/will be proportional to number of respective lecture hours mentioned in the syllabus.
- Question paper will comprise of total six questions, each carrying 20 marks.
- Q.1 will be compulsory and should cover maximum contents of the syllabus.
- Remaining question will be mixed in nature (for example if Q.2 has part
- from module 3 then part
- will be from any other module. (Randomly selected from all the modules)
- Total four questions need to be solved.
For detail Syllabus of all subjects of Information Technology (IT) 5th Sem 2018 regulation, visit IT 5th Sem Subjects of 2018 Pattern.