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Advanced Image Processing

Advanced Image Processing. Instructor : Prof. Sei-Wang Chen, PhD Office : Applied Science Building, Room 101 Telephone : 7734-6661 E-mail: schen@csie.ntnu.edu.tw Class Hrs. : Mon. 9:00am - 12:00noon Office Hrs. : Mon. 2:00 - 4:00pm. 1.

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Advanced Image Processing

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  1. Advanced Image Processing Instructor : Prof. Sei-Wang Chen, PhD Office : Applied Science Building, Room 101 Telephone : 7734-6661 E-mail: schen@csie.ntnu.edu.tw Class Hrs. : Mon. 9:00am - 12:00noon Office Hrs. : Mon. 2:00 - 4:00pm 1

  2. Teaching assistant : Office : Applied Science Building, Basement, IPCV-ITS Lab Telephone : 7734-6966 E-mail : Office Hrs. : 2

  3. Teaching Goal Advanced study on image processing, focusing on computational techniques for 2D, 3D and video images. This course covers a wide range of research as well as application problems often encountered within image processing and computer vision and provides detailed algorithmic and theoretical treatments for each. 3

  4. Textbook Image Processing, Analysis, and Machine Vision (3e) by M. Sonka, V. Hlavac, and R. Boyle (2008) 滄海書局 陳式政(0938723438) 4

  5. Contents of the Textbook: Ch.1 – Introduction Ch.2 – The image, its representations and properties Ch.3 – The image, its mathematical and physical background Ch.4 – Data structures for image analysis Ch.5 – Image preprocessing Ch.6 – Segmentation I Ch.7 – Segmentation II Ch.13 – Mathematical morphology 5

  6. Ch.8 – Shape representation and description Ch.9 – Object recognition Ch.10 – Image understanding Ch.11 – 3D vision, geometry Ch.12 – Use of 3D vision Ch.14 – Image data compression Ch.15 – Texture Ch.16 – Motion analysis Find the power points of the chapters by CSIE --> SW Chen --> Teaching --> Image Processing --> Image Processing (II) 6

  7. Syllabus Week Content 1 Ch1 2 Ch2.1-2.2 3 Ch2.3-2.4 4 Ch2.4-2.5 5 Ch3.1-3.2 6 Ch3.2 7 Ch3.3 8 Ch4 9 Mid-Term Exam 7

  8. Week Content 10 Ch5.1-5.3 11 Ch5.3-5.4 12 Ch5.4 13 Presentation 14 Ch6.1-6.2 15 Ch6.2-6.3 16 Ch6.3-6.5 17 Ch7.1-7.2 18 Ch7.3-7.4 19 Final Exam (or Report) 8

  9. References: (i) Books (1) Perception,R. Sekuler and R. Blake, 1985 (2) Digital Image Processing,K. R. Castleman, 1996 (3) Handbook of Computer Vision Algorithms in Image Algebra, G. X. Ritter and J. N. Wilson, 2001 (4) Digital Image Processing, R. C. Gonzalez and R. E. Woods, Addison- Wesley, London, 2006. 9

  10. (ii) Journals (1) IEEE Trans. on Pattern Analysis and Machine Intelligence (2) IEEE Trans. on Image Processing (3) Computer Vision and Image Understanding (4) Pattern Recognition (5) International Journal of Computer Vision 10

  11. (iii) 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) 11

  12. Submit Assignments (1)Prepare a file: File Name: StudentID_Name_HW#.rar e.g., 699470486S_陳世旺_HW1.rar File Contents: (i) Source code; (ii) Report (.doc) (2)Submit the file to: ftp://140.122.184.4:9876 User ID: DIP100; Password: DIP100

  13. Evaluation: Examination 20% Presentation 20% Homework 30% Project 20% Attendance 10% Late homeworks and reports will not be accepted Plagiarism is definitely not allowed 13

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