Digital Image Processing detailed syllabus scheme for Biomedical Engineering (BM), 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 Biomedical Engineering 6th Sem Syllabus 2018 Pattern, do visit BM 6th Sem 2018 Pattern Scheme. The detailed syllabus scheme for digital image processing is as follows.
Digital Image Processing Syllabus for Biomedical Engineering TE 6th Sem 2018 Pattern Mumbai University
Course Objectives:
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Course Outcomes:
Learner will be able to:
- Acquire the fundamental concepts of a digital image processing system such as image acquisition, enhancement, segmentation, transforms, compression, morphology, representation and description.
- Analyze images in the spatial domain.
- Analyze images in the frequency domain through the Fourier transform.
- Design and implement with MATLAB/C/Labview algorithms for digital image processing operations such as point processing, histogram processing, spatial and frequency domain filtering, denoising, transforms, compression, and morphological processing.
Module 1
Basics of Image Processing: Image acquisition, Processing, Communication, Display; Electromagnetic spectrum; Elements of visual perception – Structure of the human eye, Image formation in the eye, Brightness adaptation and discrimination, Image formation model, Uniform and non-uniform sampling, Quantization, Image formats. 05
Module 2
Image Enhancement: Spatial domain – Point processing techniques, Histogram processing, Neighbourhood processing, Frequency domain techniques – 2D-DFT, Properties of 2D-DFT, Low pass, High pass, Noise removal, Homomorphic filters, 12
Module 3
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Module 4
Image Transforms: DFT, FFT, DCT, DST, Hadamard, Walsh, Haar, Slant, K-L Transforms, Basis functions and basis images 08
Module 5
Image Compression: Fundamentals of image compression models, Lossless compression – RLE, Huffman, LZW, Arithmetic coding techniques. Lossy compression – IGS coding, Predictive coding, Transform coding, JPEG, JPEG 2000. 08
Module 6
Morphology, Representation and Description: Dilation, Erosion, Open, Close, Hit-or-miss, Boundary extraction, Region filling, Thinning and thickening; Chain Codes, Polygonal approximations, Signatures; Fourier descriptors, Moments. 07
Assessment:
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..
Text Books:
- Digital Image Processing, Gonzalez and Woods- Pearson Education.
- Fundamentals of Digital Image Processing, A.K. Jain -P.H.I.
- Digital Image Processing and Analysis, Chanda Majumder-Prentice Hall India.
Reference Books:
- Digital Image Processing and Computer Vision, Sonka, Hlavac, Boyle-Cengage learning.
- Digital Image Processing, William Pratt- John Wiley.
Theory Examination:
- Question paper will comprise of total 06 questions, each carrying 20 marks.
- Total 04 questions need to be solved.
- Question No: 01 will be compulsory and based on entire syllabus wherein sub-questions of marks will be asked.
- Remaining questions will be randomly selected from all the modules.
For detail syllabus of all other subjects of Biomedical Engineering (BM) 6th Sem 2018 regulation, visit BM 6th Sem Subjects syllabus for 2018 regulation.