18BM752: Medical Image Processing BME Syllabus for BE 7th Sem 2018 Scheme VTU (Open Elective-B)

Medical Image Processing detailed Syllabus for Biomedical Engineering (BME), 2018 scheme has been taken from the VTUs official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information, visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.

For all the other VTU BME 7th Sem Syllabus for BE 2018 Scheme, visit Biomedical Engineering 7th Sem 2018 Scheme.

For all the (Open Elective-B) subjects refer to Open Elective-B Scheme. The detail syllabus for medical image processing is as follows.

Module 1

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
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Module 2

Image Enhancement in Spatial Domain: Background, Point processing-Image negatives, Logtransformations, Power law transformations, Contrast stretching, Intensity level slicing, Bit plane slicing, Histogramprocessing-Histogram equalization, Histogram matching (specification), Arithmetic/Logicoperations-Image subtraction, Image averaging.Fundamentals of spatial filtering, Smoothing spatial filters, Sharpening spatial filters
Text: 3.1, 3.2, 3.3, 2.6.1, 2.6.2, 2.6.3, 2.6.4, 3.4, 3.5, 3.6

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 lowpassfilters; 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

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.
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Module 5

Image Segmentation: Fundamentals, Point detection, Line detection, Edge models, Edge detection, Cannyedgedetector.Thresholding, Region based segmentation.
Text: 10.1, 10.2.1-10.2.6, 10.3, 10.4

Course Outcomes:

After studying this course, students will be able to,

1. Define the general terminology of digital image processing.
2. Identify the need for image transforms and their types both in spatial and frequency domain.
3. Identify different types of image degradation and apply restoration techniques.
4. Describe image compression models and learn image compression techniques.
5. Explain and apply various methodologies for image segmentation.
6. 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:

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.
.

Text Books:

1. Digital Image Processing-Rafael. C. Gonzalez and Richard. E. Woods, Third Edition, Pearson Education, 2008.

Reference Books:

1. Fundamentals of Digital Image Processing-Anil K. Jain, 5th Indian Print, PHI, 2002.
2. Digital Image Processing and Computer Vision-Milan Sonka, India Edition, Cengage Learning.

For the detail Syllabus of all other subjects of BE (BME) 7th Sem, visit Biomedical Engineering 7th Sem Subjects.

For all (CBSE & Non-CBSC) BE/B.Tech results, visit VTU BE/B.Tech all semester results.