Medical Image Processing detail syllabus for Biomedical Engineering (Bme), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17BM62), 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 bme 6th sem syllabus for be 2017 scheme vtu you can visit BME 6th Sem syllabus for BE 2017 Scheme VTU Subjects. The detail syllabus for medical image processing is as follows.
Module 1
Introduction: Background, Examples of fields that use DIP, Fundamental steps in Digital Image Processing (DIP), Components of DIP system, Image sensing and acquisition, A simple image formation model, Image sampling and quantization. Basic relationship between pixels, Colour image processing fundamentals and models. Text: Chapter 1, 2.3, 2.4, .2.5, 6.1, 6.2
Module 2
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Module 3
Image Enhancement In Frequency Domain: Background, 2D-Discrete Fourier Transform and its Inverse, Basic properties of the 2D-Discrete Fourier Transform, Basicsof filtering in the frequency domain. Image smoothing using frequency domain filters – Ideal lowpass filters, Butterworth lowpass filters, Gaussian lowpass filters; Image sharpening using frequency domain filters – Ideal highpass filters, Butterworth highpass filters, Gaussian highpass filters, Homomorphic filtering. Text: 4.1, 4.2, 4.5.5, 4.6, 4.7,4.8, 4.9.
Module 4
Image Restoration: Model of the Image degradation/restoration process, Noise models, Restoration using spatial filtering: Mean filters, Order statistic filters – Median filter, Min and Max filters, Midpoint filter. Image Compression: Fundamentals, Image compression models, Basic compression methods -Huffman coding, Arithmetic coding, LZW coding, Run-length coding. Text: 5.1, 5.2, 5.3.1, 5.3.2, 8.1, 8.2.1, 8.2.3, 8.2.4, 8.2.5.
Module 5
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Course Outcomes:
After studying this course, students will be able to,
- Define the general terminology of digital image processing.
- Identify the need for image transforms and their types both in spatial and frequency domain.
- Identify different types of image degradation and apply restoration techniques.
- Describe image compression models and learn image compression techniques.
- Explain and apply various methodologies for image segmentation.
- Implement image processing and analysis algorithms.6
Note: It is suggested to give assignments / hands-on-experience on the above image processing concepts using Matlab / C programming on medical images like x-ray / CT / MRI.
Question paper pattern:
- The question paper will have TEN questions.
- Each full question carry 16 marks.
- There will be TWO full questions (with maximum of THREE sub questions) from each module.
- Each full question will have sub questions covering all the topics under a module.
- The students will have to answer FIVE full questions, selecting ONE full question from each module.
Text Books:
- Digital Image Processing – Rafael. C. Gonzalez and Richard. E. Woods, Third Edition, Pearson Education, 2008
Reference Books:
- Fundamentals of Digital Image Processing – Anil K. Jain, 5th Indian Print, PHI, 2002
- Digital Image Processing and Computer Vision – Milan Sonka, India Edition, Cengage Learning.
For detail syllabus of all other subjects of BE Bme, 2017 scheme do visit Bme 6th Sem syllabus for 2017 scheme.
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