Principles and Applications of Digital Image Processing

Serial Number
50592
Course Number
BME7408
Course Identifier
631 M8210
No Class
3 Credits
Elective
GRADUATE INSTITUTE OF BIOMECHATRONICS ENGINEERING / PROGRAM OF NEUROBIOLOGY AND COGNITIVE SCIENCE
- GRADUATE INSTITUTE OF BIOMECHATRONICS ENGINEERING
- PROGRAM OF NEUROBIOLOGY AND COGNITIVE SCIENCE
TA-TE LIN
- View Courses Offered by Instructor
- College of Bioresources & Agriculture Department of Biomechatronics Engineering
- m456@ntu.edu.tw
- 生物產業機電工程學系農機館203室
- 02-33665331
- Website
  http://ttlin.bime.ntu.edu.tw/
Wed 7, 8, 9
ZHI-WU BLDB. MEETING ROOM (知武會議室)
Type 1
No limits, directly add course online
50 Student Quota
NTU 40 + non-NTU 10
No Specialization Program
Chinese
NTU COOL
Core Capabilities and Curriculum Planning

Notes
NTU Enrollment StatusNTU students only. Updated every five minutes during the course selection period.
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Course Description
This course introduces fundamental principles and applications of digital image processing. It emphasizes on the theory and algorithms as well as practical programming skills underlying a range of topics as follows. 1. Image acquisition and fundamentals 2. Image filtering and enhancement 3. Image restoration and reconstruciton 4. Color image processing 5. Wavelets and other image transforms 6. Image compression 7. Morphological processing 8. Image segmentation 9. Feature description and extraction 10. Image pattern classification
Course Objective
To introduce concepts of image processing and basic analytical methods and algorithms used in image processing. To equip students with necessary programming skills for practical applications of image processing.
Course Requirement
Engineering Mathematics
Expected weekly study hours after class
About 12 hours per week

Office Hour

Mon	15:00 - 18:00
Thu	14:00 - 17:00
"Please send an email to the teaching assistant to schedule a meeting." 請先寄信和助教約時間 Monday 15:00~18:00: Rm 405, Tomatake Hall (每週星期一下午時段：陳姵瑜助教，生機系知武館405室) Thursday 14:00~17:00: Rm 405, Tomatake Hall (每週星期四上午時段：程柏勳助教，生機系知武館405室)

Designated Reading
Gonzalez, R. C. and R. E. Woods. 2018. “Digital Image Processing”, 4th Ed., Pearson Educational Limited. Edinburgh Gate, Harlow, England.
References
1. Pratt, W. K. 2013. “Introduction to Digital Image Processing”, CRC Press. 2. Sonka, M., V. Hlavac, and R. Boyle. 2014. “Image Processing, Analysis, and Machine Vision”, 4th Ed., Cengage Learning.
Grading
20%
Final Exam
20%
Term Project
40%
Homework
20%
Mid-Term Exam
Adjustment methods for students
Adjustment Method Description
Teaching methods
Provide students with flexible ways of attending courses
Assignment submission methods
Extension of the deadline for submitting assignments

Adjustment Method	Description
Teaching methods	Provide students with flexible ways of attending courses
Assignment submission methods	Extension of the deadline for submitting assignments

Course Schedule

Week 1		Introduction
Week 2		Digital Image Fundamentals
Week 3		Intensity Transformation and Spatial Filtering (I)
Week 4		Intensity Transformation and Spatial Filtering (II)
Week 5		Filtering in the Frequency Domain
Week 6		Image Restoration and Reconstruction
Week 7		Color Image Processing
Week 8		Mid-Term Exam
Week 9		Wavelets and Multiresolution Processing (I)
Week 10		Wavelets and Multiresolution Processing (II)
Week 11		Image Compression (I)
Week 12		Image Compression (II)
Week 13		Morphological Image Processing
Week 14		Image Segmentation
Week 15		Representation and Description
Week 16		Final Exam