Page 80 - R2017-REC--BE Biomedical Curriculum and Syllabus

Department of BME, REC

6. Histogram Processing and Basic Thresholding functions
7. Image Enhancement-Spatial filtering
8. Image Enhancement- Filtering in frequency domain
9. Image restoration – Inverse and wiener filtering
10. Image segmentation – Edge detection, line detection and point detection.
11. Basic Morphological operations.
12. Region based Segmentation
13. Segmentation using watershed transformation
14. Analysis of images with different color models.
15. Study of DICOM standards
- Compression and transmission of DICOM images.

MINI PROJECTS:
• Applications to Biometric and security
• Applications to Medical Images
• Texture analysis with statistical properties
• Boundary detection
• ROC analysis for Medical Image Application

TOTAL: 60 PERIODS
OUTCOMES:
On completion of the course students will 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.
• Implement project on simple image processing applications.
• 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.

BM17712 HOSPITAL TRAINING L T P C
0 0 2 1

OBJECTIVES
• Give you the opportunity to observe medical professionals at work in the wards and the
roles of Allied Health Professionals;
• Provide access to healthcare Professionals to get a better understanding of their work; and
• Demonstrate patient-care in a hospital setting.

S.No. Departments for visit
1 Cardiology
2 ENT
3 Ophthalmology
4 Orthopaedic and Physiotherapy
5 ICU/CCU
6 Operation Theatre

Curriculum and Syllabus | B.E Biomedical Engineering | R 2017 Page 80