NTU Course
Overview

Principles and Applications of Digital Image Processing

Offered in 113-1

  • 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

      Elective

    • GRADUATE INSTITUTE OF BIOMECHATRONICS ENGINEERING

    • PROGRAM OF NEUROBIOLOGY AND COGNITIVE SCIENCE

  • TA-TE LIN
  • Wed 7, 8, 9

  • 知武會議室

  • Type 1

  • 50 Student Quota

    NTU 40 + non-NTU 10

  • No Specialization Program

  • Chinese
  • NTU COOL
  • Core Capabilities and Curriculum Planning
  • Notes

    人工智慧領域核心課程

  • NTU Enrollment Status

    Enrolled
    0/40
    Other Depts
    0/0
    Remaining
    0
    Registered
    0
  • 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 before and/or after class
    About 12 hours per week
  • Office Hour
    Mon15:00 - 18:00
    Thu14:00 - 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

    1. NTU has not set an upper limit on the percentage of A+ grades.
    2. NTU uses a letter grade system for assessment. The grade percentage ranges and the single-subject grade conversion table in the NATIONAL TAIWAN UNIVERSITY Regulations Governing Academic Grading are for reference only. Instructors may adjust the percentage ranges according to the grade definitions. For more information, see the Assessment for Learning Section。
  • Adjustment methods for students
    Adjustment MethodDescription
    A3

    提供學生彈性出席課程方式

    Provide students with flexible ways of attending courses

    B1

    延長作業繳交期限

    Extension of the deadline for submitting assignments

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