7th Sem, BME

BM5712: Medical Image Processing Laboratory Syllabus for Biomedical 7th Sem 2019 Regulation Anna University

Medical Image Processing Laboratory detailed syllabus for Biomedical Engineering (Biomedical) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Biomedical students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Biomedical Engineering 7th Sem scheme and its subjects, do visit Biomedical 7th Sem 2019 regulation scheme. The detailed syllabus of medical image processing laboratory is as follows.

Medical Image Processing Laboratory

Course Objective:

” To study the various aspects of image processing techniques for medical images

List of Experiments:

  1. Display of color and grayscale Images.
  2. Conversion between color spaces
  3. Histogram Equalization.
  4. Spatial filtering
  5. Non-linear Filtering.
  6. Edge detection using Operators.
  7. 2-D DFT and DCT.
  8. Filtering in frequency domain.
  9. DWT of images.
  10. Segmentation using watershed transform.
  11. Steganography
  12. Feature extraction in medical images.
  13. Medical Image Compression techniques.
  14. Medical image fusion
  15. Study of DICOM standards.

Course Outcome:

At the end of the course the student will be able to

  1. Apply filtering techniques to medical images.
  2. Apply segmentation techniques.
  3. Perform Encryption in image.
  4. Identify and perform fusion techniques.
  5. Understand standards in Image storage and communication.

References:

  1. Rafael C. Gonzalez, Richard E. Woods, Steven Eddins, Digital Image Processing using MATLAB, Pearson Education, Inc., 2004.

For detailed syllabus of all other subjects of Biomedical Engineering, 2019 regulation curriculum do visit Biomedical 7th Sem subject syllabuses for 2019 regulation.

For all Biomedical Engineering results, visit Anna University Biomedical all semester results direct link.

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