Digital Image Processing Laboratory Med Ele 7th Sem Syllabus for BE 2017 Regulation Anna Univ

Digital Image Processing Laboratory detail syllabus for Medical Electronics (Med Ele), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (EC8762), Category (PC), Contact Periods/week (4), Teaching hours/week (0), Practical Hours/week (0). The total course credits are 4.

For all other med ele 7th sem syllabus for be 2017 regulation anna univ you can visit Med Ele 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for digital image processing laboratory is as follows.”

Course Objective:

• To practice the basic image processing techniques.
• To compute magnitude and phasor representation of images.
• To understand the concepts of image restoration and segmentation.
• To explore the applications of image processing techniques.

List of Experiments:

Simulation using MATLAB

1. Image sampling and quantization
2. Analysis of spatial and intensity resolution of images.
3. Intensity transformation of images.
4. DFT analysis of images
5. Transforms (Walsh, Hadamard, DCT, Haar)
6. Histogram Processing and Basic Thresholding functions
7. Image Enhancement-Spatial filtering
8. Image Enhancement- Filtering in frequency domain
9. Image segmentation – Edge detection, line detection and point detection.
10. Basic Morphological operations.
11. Region based Segmentation
12. Segmentation using watershed transformation
13. Analysis of images with different color models.
14. Study of DICOM standards
15. Image compression techniques
16. Image restoration
17. A mini project based on medical image processing

Course Outcome:

At the end of the course, the student should be able to:

• Perform enhancing operations on the image using spatial filters and frequency domain filters.
• Use transforms and analyse the characteristics of the image.
• Perform segmentation operations in the images.
• Estimate theefficiency of the compression technique on the images.
• Apply image processing technique to solve real health care problems.

References:

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

For detail syllabus of all other subjects of BE Med Ele, 2017 regulation do visit Med Ele 7th Sem syllabus for 2017 Regulation.

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