爻 授課教授: 傅楸善教授 爻

email: fuh@csie.ntu.edu.tw
web: http://www.csie.ntu.edu.tw/~fuh
Tel: (02)23625336 轉 327

辦公室時間: 週二上午 11:00AM~11:59AM

課程資訊

上課時間:
週二下午 789 節
(2:20PM ~ 5:20PM)
上課地點: 資訊工程系新館 R103

乂助教:李建慶乂

email: r07922113@csie.ntu.edu.tw
辦公室時間:週三下午3:20PM~5:20PM, R328
負責作業1、3、6、9
來之前請先寄信告知我們

乂助教:曾柄元乂

email: r07922034@csie.ntu.edu.tw
辦公室時間:週二下午1:20PM~5:20PM, R328
負責作業2、5、8
來之前請先寄信告知我們

乂助教:黃季軒乂

email: r07944042@csie.ntu.edu.tw
辦公室時間:週二下午1:20PM~5:20PM, R328
負責作業4、7、10
來之前請先寄信告知我們

Textbook

[1] R. M. Haralick and L. G. Shapiro, Computer and Robot Vision, Vol. I, Addison Wesley, Reading, MA, 1992.

References

[1] R. Jain, R. Kasturi, and B. G. Schunck, Machine Vision, McGraw-Hill, New York, 1995.
[2] C. Gonzalez and R. E. Woods, Digital Image Processing, Addison Wesley, Reading, MA, 1992.
[3] R. Szeliski, Computer Vision: Algorithms and Applications, Springer-Verlag, London, 2011.

Grading

• Projects: will be assigned every week or every other week (30%)
• Examinations: one midterm (30%) and one final (40%)

News

• 點名表與作業成績 公告在此 (表1為點名表,表2為作業成績)

• 請負責報告的同學提前把PPT寄給助教。

• Homework

李建慶 助教負責 hw1, hw3, hw6, hw9

曾柄元 助教負責 hw2, hw5, hw8

黃季軒 助教負責 hw4, hw7, hw10

作業遲交成績一律打8折

• Midterm Exam

時間:   2019/11/05   2:20PM ~ 5:20PM

範圍:   CH1~CH6 & Research

地點:   德田館 資223A,B (學號末碼0,1,2)
                         資103       (學號末碼3~9)

注意事項:   這週點名以考卷作為出席紀錄。
     考試非open book,不可攜帶任何紙本資料或電子檔。
                    僅限用中文或英文作答。



News

• 課程影片 Videos
• 作業說明 hw9-hw10(v4)
• 作業期限延長: 由於近幾次的作業過於密集,教授決定將hw8、hw9、hw10期限順延一週,請同學把握時間完成。

• Final Exam

時間:   2020/01/07   2:20PM ~ 5:20PM

範圍:   CH7~CH11 & Research

地點:   德田館 資223A,B (學號末碼0,1,2)
                         資103       (學號末碼3~9)

注意事項:   這週點名以考卷作為出席紀錄。
     考試非open book,不可攜帶任何紙本資料或電子檔。
                    僅限用中文或英文作答。

Class Materials

Textbook

Handouts (PDF Format). (Past Materials)

Handouts (PPT Format)

Research (pwd: 2019cv1)

Homework Regulations

  • Homeworks are to be turned in ON TIME by FTP FileZilla Client ( IP: 140.112.31.83, account: 2019cv1, password: 2019cv1, port: 12000) (before class starts)! Late homeworks will be subjected to grade penalties! Please compress the homework files to a rar or zip file. The filename format is Rxxxxxxxx_HWx_verx.zip (e.g. R07922666_HW1_ver1.zip).

  • Only electronic submissions are allowed! The homework should include two parts, the report and source code. Report formats are restricted to Microsoft Word and Adobe PDF format. Failure to fulfill the file formats when submitting your homework will result with no grades. Also, please take note of the fields for submission.

  • Your homework report should include the following contents: a brief discription of your homework, the algorithm you used, your parameters (if any), your principal code fragment, and the resulting images (please paste the images in your report file).

  • Do not copy homeworks from others. Copying is cheating, and cheating is shameful. You and the person who let you copy his/her homework will both get a 0. In addition, you could be subjected to an on site demostration for the following assignments.

  • Any programming language are allowed to used for homework. Do not use any library except basic I/O function (e.g. read file, write file, show image).

Homeworks

Homework 1

Basic Image Manipulation

due date: 2019/9/24

Click me

Homework 2

Basic Image Manipulation

due date: 2019/10/1

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Homework 3

Histogram Equalization

due date: 2019/10/8

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Homework 4

Mathematical Morphology - Binary Morphology

due date: 2019/10/29

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Homework 5

Mathematical Morphology - Gray Scaled Morphology

due date: 2019/11/5

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Homework 6

Yokoi Connectivity Number

due date: 2019/11/19

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Homework 7

Thinning

due date: 2019/11/19

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Homework 8

Noise Removal

due date: 2019/11/26 → 2019/12/3

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Homework 9

General Edge Detection

due date: 2019/12/3 → 2019/12/10

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Homework 10

Zero Crossing Edge Detection

due date: 2019/12/10 → 2019/12/17

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Reference Materials