查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

111-1 308852 數位影像處理 1 3.0 3 ★ 白敦文資工所
人工智慧學位學程 24 1 資工三四、資工所和人工學程合開(人數各限30人)

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
111-1	308852	數位影像處理	1	3.0	3	★	白敦文	資工所人工智慧學位學程	24	1	資工三四、資工所和人工學程合開(人數各限30人)

教學大綱與進度：

教師姓名白敦文　教師諮商時間(Office Hours)

Email twp@ntut.edu.tw

最後更新時間 2022-08-23 20:21:11

課程大綱 This course will be lectured in English. Teaching contents include the following topics: 1.Digital image fundamentals 2.Image transforms. 3.Image enhancement 4. Image restoration 5. Color image processing. 6. Image compression. 7. Image segmentation and feature detection 8. Representation and description 9. Recognition and interpretation 10. Applications: ALV navigation and medical image.

課程進度 1. Introduce to Image Processing Computer Imaging Systems Human Visual Perception Image Representation 2. Introduction to Image Analysis Preprocessing Techniques Edge/Line Detection Image Segmentation Discrete Transform Feature Extraction 3. Image Enhancement in Spatial Domain Grayscale Modification Image Sharpening Filters Image Smoothing Filters 4. Image Enhancement in Frequency Domain Fourier Transform Image Sharpening Filters Image Smoothing Filters Homomorphic Filtering 5. Introduction to Image Restoration Spatial Filters for Noise Removal Frequency Filters for Noise Removal 6. Color Image Processing Color Models Pseudo-color Image Processing Color Transformation 7. Compression Algorithms Image Compression Models Different Compression Algorithms

評量方式與標準 Quiz:15%, Homework:15%, Midterm 30%, and Final 30%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
Textbook： Digital Image Processing Authors：Rafael C. Gonzalez & Richard E. Woods (開發圖書公司) 4th Edition References： Digital Image Processing Using MATLAB by Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins, 2nd Edition

課程諮詢管道研究室分機(Extension): 4222
位置(Office): 宏裕科技大樓1524 (Hung-Yu Research Tech. Building)
Office hours: Wed. 1600-18:00

Any linking problem related to MS teams, please contact TA individually.
TA:吳陽生 Email: t110598007@ntut.org.tw

備註
All lecture slides will be provided in advance through iSchool system.
Lectures will be provided through MS teams.

教師姓名	白敦文　教師諮商時間(Office Hours)
Email	twp@ntut.edu.tw
最後更新時間	2022-08-23 20:21:11
課程大綱	This course will be lectured in English. Teaching contents include the following topics: 1.Digital image fundamentals 2.Image transforms. 3.Image enhancement 4. Image restoration 5. Color image processing. 6. Image compression. 7. Image segmentation and feature detection 8. Representation and description 9. Recognition and interpretation 10. Applications: ALV navigation and medical image.
課程進度	1. Introduce to Image Processing Computer Imaging Systems Human Visual Perception Image Representation 2. Introduction to Image Analysis Preprocessing Techniques Edge/Line Detection Image Segmentation Discrete Transform Feature Extraction 3. Image Enhancement in Spatial Domain Grayscale Modification Image Sharpening Filters Image Smoothing Filters 4. Image Enhancement in Frequency Domain Fourier Transform Image Sharpening Filters Image Smoothing Filters Homomorphic Filtering 5. Introduction to Image Restoration Spatial Filters for Noise Removal Frequency Filters for Noise Removal 6. Color Image Processing Color Models Pseudo-color Image Processing Color Transformation 7. Compression Algorithms Image Compression Models Different Compression Algorithms
評量方式與標準	Quiz:15%, Homework:15%, Midterm 30%, and Final 30%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 Textbook： Digital Image Processing Authors：Rafael C. Gonzalez & Richard E. Woods (開發圖書公司) 4th Edition References： Digital Image Processing Using MATLAB by Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins, 2nd Edition
課程諮詢管道	研究室分機(Extension): 4222 位置(Office): 宏裕科技大樓1524 (Hung-Yu Research Tech. Building) Office hours: Wed. 1600-18:00 Any linking problem related to MS teams, please contact TA individually. TA:吳陽生 Email: t110598007@ntut.org.tw
備註	All lecture slides will be provided in advance through iSchool system. Lectures will be provided through MS teams.