1. Digital Image Processing 劉震昌 http://www.ncnu.edu.tw/~jcliu

2. 1895, 塞尚：蘋果與橘子 How can a computer identify an apple in the image?

3. 如何從影像中分辨花的種類 ?

4. We will not solve previous problems in this class …

5. Goal Understand how those digital image processing operations are really done. It is interesting to see what happens … Background knowledge: Signal and systems Digital signal processing

6. References Textbook: Digital Image Processing, 2 nd version, Gonzalez and Woods ( 開發圖書代理 ) Journals: IEEE transactions on {image processing, multimedia, signal processing, … } Pattern recognition, … Conferences: Int ’ l conference on image processing(ICIP) ICCV, ACCV, …

7. Course outline Chap.1: Introduction Chap. 2: Digital image fundamentals Chap. 3: Image enhancement in the spatial domain Chap. 4: Image enhancement in the frequency domain Chap. 5: Image restoration Chap. 6: Color image processing

8. Course outline (cont.) Chap. 7*: Wavelets Chap. 8*: Image compression ( 請修黃 育銘老師：資料壓縮 ) Chap. 9: Morphological image processing Chap. 10: Image segmentation Chap. 11: Representation and description Chap. 12: Object recognition

9. Course grading Grading policy Homework and Laboratory: 50% One homework every one or two weeks Delay of submission will get only 80% score Please do not copy from your classmates On-line Matlab laboratory exercise Midterm exam: 20% Absence or cheat in the exam will NOT PASS !!! Term project: 30% Implementation of digital image processing algorithms in a published paper Briefly present your project proposal Please prepare your project as soon as possible

10. Homework submission Create a homepage for each homework Example: http://www.ncnu.edu.tw/~ID/dipcourse/hw1.html Send an email to me when you submit your delayed homework Send the HTTP address to me before deadline Keep your homework page a secret Please visit the course homepage for any announcement frequently http://www.ncnu.edu.tw/~jcliu/course/dip2003. html http://www.ncnu.edu.tw/~jcliu/course/dip2003. html

11. Image Processing Tool: Matlab Matlab: everything is a MAtrix A lot of toolbox(build-in functions) for use Strongly suggested that you can use Matlab for your homework Command-line interpreter C-like grammar

12. Introduction

13. Image processing system Elements of an digital image processing system Image acquisition Storage Processing Communication Display

15. Image acquisition analog image sampling 取樣 digital image

16. Image storage Pixel ( 像素 ) Position Intensity Binary image: 0,1 Grayscale image: 0-255(8 bits) Color image: R, G, B Compressed image format.jpg,.gif, …, 節省儲存空間 Raw data: no compression

17. Resolution ( 解析度 ) Spatial resolution(dimension) Intensity resolution bits/pixels analog image sampling 取樣 digital image analog image output 輸出 pixels pixels/inch

18. Image representation Coordinate system x y (0,0) pixel: f(x,y)=intensity

19. Please consider carefully whether you are going to take this class