Jiunn-Lin Wu, PhD

6638 Digital Image Processing (影像處理)

• Course Time:  Tue 13:10-16:00

• Classroom: AT338 

• Course Outlines: This course covers fundamental concepts and methods in digital image processing and their applications. The course is outlined as:

  • 1 Introduction

  • 2 Digital Image Fundamentals

  • 3 Intensity Transformations and Spatial Filtering

  • 4 Filtering in the Frequency Domain

  • 5 Image Restoration and Reconstruction

  • 6 Wavelet and Other Image Transforms

  • 7 Color Image Processing

  • 8 Morphological Image Processing

  • 9 Image Segmentation

  • 10 Deep Learning

  • 11 Image Classification and Object Detection with Convolutional Neural Networks.

• Textbook: "Digital Image Processing", by R. C. Gonzalez and R. E. Woods, 4th Edition, Pearson (開發), 2017.

• Reference Books:  "

  • Digital Image Processing Using MATLAB", 2nd Edition, by Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins, 
    McGraw-Hill, 2009.

  • "Artificial Intelligence" by Leonardo Araujo dos Santos. 2018.

  •  "Hands-On Computer Vision with TensorFlow 2", by Benjamin Planche and Eliot Andres, Packt Publishing, 2019.

• Lecture Notes: Chapter0, 關於PPT授課著作權, Chapter1, Chapter2, Chapter3,  Chapter5, Chapter6, Chapter9, Chapter10, Chapter12

• Grade: 成績 (Updated at 06/24)

• News:​

  • 作業繳交方式：內容為主要演算法與程式片斷，包含測試資料與結果，以及簡短的討論或結論等。請把書面報告WORD電子檔，程式Source code及相關測試資料先以Winzip或WinRAR壓縮，並以學號為其檔名，上傳到以下FTP網站：主機:140.120.182.220，使用者名稱:dipstudent，密碼:dip2024，連接埠:21​。

  • ​期末筆試：6/11

  • 期末報告，每組報告一篇近五年SCIE期刊論文，報告時間為15分鐘(含QA)。(碩博班3-4人一組)。報告日期：6/4, 6/18。

  • 作業成績已公布

  • 學期成績已公布，期末考與作業成績有疑問者請於6/24下午1400-1600找助教，學期成績有疑問者請於6/25早上0800-1000與我聯絡，逾時不後。

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1391 Medical Image Analysis (醫學影像分析)

• Course Time:  Thu 13:10-15:00

• Classroom: IA724

• Course Outlines: This course covers fundamental concepts and methods in digital image processing and their applications. The course is outlined as:

  • Introduction

  • Digital Image Fundamentals

  • Intensity Transformations and Spatial Filtering

  • Image Segmentation I: Edge Detection, Thresholding, and Region Detection

  •  Image Segmentation II: Active Contours: Snakes and Level Sets

  • Feature Extraction

  • Image Pattern Classification

  • Introduction to Deep Learning

  •  Unet Architecture

  •  Medical image analysis with Deep learning

• Textbook: "Digital Image Processing", by R. C. Gonzalez and R. E. Woods, 4th Edition, Pearson (開發), 2017.

• Reference Books:  "

  • “Deep Learning in Medical Image Analysis, Challenges and Applications” by Gobert Lee and HiroshiFujita, Springer, 2020.

  • “Deep Learning for Medical Image Analysis” by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen, Elsevier Inc., 2017.

  • ”Digital Image Processing Using MATLAB”, R. C. Gonzalez and R. E. Woods, 2nd Edition, Prentice Hall, 2011.

  • ”Artificial Inteligence” by Leonardo Araujo dos Santos. 2018.

  •  ”Hands-On Computer Vision with TensorFlow 2”, by Benjamin Planche and Eliot Andres, Packt Publishing, 2019.

• Grade: 

  • 成績 (Updated at 06/17)​

• News:

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1382 智慧醫療專題轉譯研究

• Course Time:  Thu 15:10-17:00

• Classroom: IA722

• News:

  • Code

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1927 深度學習概論與電腦視覺應用

• Course Time:  Summer

• Classroom: S821

• Lecture Notes:  ML，MLP，DL

• News:

  • Code

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