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Advanced Image Processing

Advanced Image Processing. Instructor : Prof. Sei-Wang Chen Office : Applied Science Building, Room 101 Telephone : 7734-6661 E-mail: schen@csie.ntnu.edu.tw Class Hours : Friday, 9:10AM - 12:10PM

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Advanced Image Processing

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  1. Advanced Image Processing Instructor : Prof. Sei-Wang Chen Office : Applied Science Building, Room 101 Telephone : 7734-6661 E-mail: schen@csie.ntnu.edu.tw Class Hours : Friday, 9:10AM - 12:10PM Office Hours: Monday, 10:00AM - 12:00Noon Thursday, 10:00AM - 12:00Noon 1

  2. Teaching assistant : 鄧宇珊 Office : B101 Telephone : 7734-6696 E-mail : ianita0430@gmail.com Office Hrs. : Monday, 2:00PM - 5:00PM 2

  3. Teaching Goal Advanced study on image processing, focusing on both theoretical and practical 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 (4th Edition) by M. Sonka, V. Hlavac, and R. Boyle (2015) 滄海圖書 陳式政(0938-723438) 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 geometry, correspondence, 3D from intensities Ch.12 – Use of 3D vision Ch.14 – Image data compression Ch.15 – Texture Ch.16 – Motion analysis 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 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 Ch6.1-6.2 13 Ch6.2-6.3 14 Ch6.3-6.5 15 Ch7.1-7.2 16 Ch7.3-7.4 17 Presentation 18 Presentation 8

  9. Steps for finding the power points of chapters (1) http://www.csie.ntnu.edu.tw/~ipcv/ (2) Professor Sei-Wang Chen (陳世旺教授) (3) Teaching (4) Image Processing (5) Image Processing (II) 9

  10. References: (i) Books (1) Digital Geometry, Geometric Methods for Digital Picture Analysis, by R. Klette and A. Rosenfeld, 2004. (2) Handbook of Mathematical Models in Computer Vision, Ed.by N. Paragios, Y. Chen, and O. Faugeras, 2006. (3) Blind Image Deconvolution, Theory and Applications, Ed. by P. Campisi and K. Egiazarian, 2007. (4) Digital Image Processing Using MATLAB, by R. C. Gonzalez and R. E. Woods, and S. L. Eddins, 2011. 10

  11. (5) Computer Vision, A Modern Approach, by D. A. Forsyth, J. Ponce, S. Mukherjee, and A. K. Bhattacharjee, 2012. (ii) Journals (1) 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 11

  12. (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) 12

  13. Submit Assignments (1)Prepare a file: File Name: Name_h(or p)#.rar e.g., (i) 陳世旺_h1.rar (Homework) (ii) 陳世旺_p1.rar (Program) (2)Submit the file to: (i)ftp://140.122.184.4 (ii) User ID: students; Password: 123456 (iii) 點選“disk1”資料夾 點選“IP作業”資料夾 點選“HW#”資料夾 (iv) 上傳作業

  14. Evaluation: Examination 20% Presentation 20% Homework 30% Project 20% Attendance 10% Late homeworks and reports will not be accepted Plagiarism is definitely not allowed 14

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