Digital Image Processing 劉震昌

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Digital Image Processing 劉震昌

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

如何從影像中分辨花的種類 ?

We will not solve previous problems in this class …

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

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, …

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

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

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

Homework submission Create a homepage for each homework Example: Send an 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 html html

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

Introduction

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

Image acquisition analog image sampling 取樣 digital image

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

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

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

Please consider carefully whether you are going to take this class