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Image Processing

Image Processing

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Image Processing

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  1. Image Processing Instructor : Prof. Sei-Wang Chen, PhD Office : Applied Science Building, Room 101 Contaction: Tel: 77346661 E-mail:schen@csie.ntnu.edu.tw Class Hr. : Thursday 2:10 - 5:00pm Office Hr. : Friday 2:00 - 4:30pm

  2. Teaching assistant : 劉貞佑 Office : Applied Science Building, ITS laboratory (Basement) Telephone : 77346696 E-mail: zhienyiou@gmail.com Office Hrs. : 2

  3. 教學目標 • Study on image processing, focusing on practical techniques for 2D images. • This course covers a wide range of application problems commonly encountered in image processing and provides detailed algorithmic and practical treatments for each.

  4. Textbook:Introduction to Digital Image Processing with MATLAB • McAndrew, 2004 高立圖書公司 22900318 ext 215 顏俊杰 0921456030, 0932024814

  5. Textbook: Image Processing, Analysis, and Machine Vision (3e) M. Sonka, V. Hlavac, and R. Boyle (2008) 滄海書局 陳式政(0938723438) 5

  6. References: (A) Books (1) Perception by R. Sekuler and R. Blake, 1985 (2) Digital Image Processing by K. R. Castleman, 1996 (3) Image Processing, Analysis, and Machine Vision by M. Sonka, V. Hlavac, and R. Boyle, 1999 (4) Handbook of Computer VisionAlgorithms in Image Algebra by G. X. Ritter and J. N. Wilson, 2001 (5) Digital Image Processing by R. C. Gonzalez and R. E. Woods, 2004

  7. (B) Journals • IEEE Trans. on Pattern Analysis and Machine Intelligence (2)IEEE Trans. on Image Processing (3)International Journal of Computer Vision (4)Computer Vision and Image Understanding (5) Pattern Recognition

  8. (C) Conferences (1) International Conference on Computer Vision (ICCV) (2) International Conference on Pattern Recognition (ICPR) (3) International Conference on Image Processing (ICIP) (4) Computer Vision and Pattern Recognition (CVPR)

  9. Contents Ch.1: Introduction Ch.2: Images and MATLAB Ch.3: Image Display Ch.4: Point Processing Ch.5: Neighborhood Processing Ch.6: Image Geometry Ch.7: Fourier Transform

  10. Ch.8: Image Restoration Ch.9: Image Segmentation Ch.10: Mathematical Morphology Ch.11: Image Topology Ch.12: Shapes and Boundaries Ch.13: Color Processing Ch.14: Image Coding and Compression Ch.15: Wavelets Ch.16: Special Effects

  11. Syllabus Week Content Project 1 Ch1 2 Ch2,3 (TA) 3 Ch4 4 Ch4 5 Ch5 6 Ch6 7 Ch7 8 Ch8 9 Mid-Term Exam Presentation

  12. Week Content Project 10 Ch9 11 Ch10 12 Ch10 13 Ch11 14 Ch12 15 Ch13 16 Ch15 17 Ch15 18 Final Exam Project Report

  13. Find power points of chapters by CSIE --> SW Chen --> Teaching --> Image Processing I

  14. 實施方法 1.授課方式:口頭,論文研讀及討論 2.評量方式: Interaction 30% Homework 40% Examine 30% Late homeworks and reports will not be accepted Plagiarism is definitely not allowed