數位影像處理

Digital Image Processing

 

 

選修 3學分

上課時間: 星期一 6-8

地點: ST405

Goals and Objectives: Introduce the student to analytical tools and methods which are currently used in digital image processing as applied to image information for human viewing. Then apply these tools in the laboratory in image restoration, enhancement and compression.

  • Develop an overview of the field of image processing.
  • Understand the fundamental algorithms and how to implement them.
  • Prepare to read the current image processing research literature.
  • Gain experience in applying image processing algorithms to real problems.

 

 

Professor: Dr. Yu-Len Huang Office: ST320

e-mail: ylhuang@thu.edu.tw

Office Hours: By appointment

 

 

教科書：

Gonzalez and Woods, "Digital Image Processing 4rd Edition", Book ISBN Number: 9781292223049. Pearson FT Press. 2018. 

 

 

 參考資料:

Books

  • Digital Image Processing Using MATLAB, 3rd edition
    Rafael C. Gonzalez, University of Tennessee; Richard E. Woods, Interapptics; Steven L. Eddins, MathWorks, Gatesmark Publishing, 2020, ISBN: 9780982085417.

Journals

1. IEEE Transactions on Pattern Analysis and Machine Intelligence
2. IEEE Transactions on Computers
3. Pattern Recognition
4. Computer Vision, Graphics and Image Processing
5. IEEE Transactions on Medical Imaging
6. Computerized Medical Imaging and Graphics
7. IEEE Transactions on Image Processing
8. IEEE Engineering in Medicine and Biology
9. IEEE Transactions on Signal Processing
10. IEEE Transactions on Neural Networks
11. IEEE Transactions on Geoscience and Remote Sensing
12. Photogrammetric Engineering and Remote Sensing
13. International Journal of Remote Sensing
14. Journal of Visual Communication and Image Representation

 

 

使用系統：Linux, Unix, or Windows

程式工具：C++, Java, MatLab, OpenGL, VRML, Python

 
 

助教 ST431

 

  

 

成績：期中考[25%]+ 期末成績(期末報告)[ 40%]+ 實作作業[30%]+平時分數[5%]

期中實作作業

作業:影像程式實作（HW: Image program implementation） 2025.04.21 12:00 iLean繳交書面報告與課堂Demo

主題：
1. 影像模糊化+影像邊緣偵測 (黃靜雯 林佳緯 程歆)
2. 影像的旋轉、翻轉和改變尺寸+影像的疊加與相減 (葉鑫 陳威翔)
3. 調整影像的對比和亮度+二值化影像 (俞兆庭 侯凱翔)

期末考 2025.05.12 14:20~16:00 全範圍
可參閱書籍資料

期末報告

報告日前 iLean上傳論文pdf
2025.06.3 12:00 iLean上傳報告投影片
報告日期
 姓名
 題目
5/19
 林佳緯
5/19 侯凱翔
5/26
 黃靜雯
5/26 陳威翔
5/26 俞兆庭
6/2
 程歆
6/2
 葉鑫

書面報告範例

Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code)

Object Detection for Dummies Part 3: R-CNN Family - Lil'Log

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補充資料

 

 

 The course will provide:

    1. Mathematical Foundations
    2. Visual Perception, Sampling and Quantization, Digital Topography, Regions, Boundaries, Connected Components
    3. Introduction to the Fourier Transform
    4. Practical techniques (using photoshop and matlab) for digital manipulation of images
      Matched Filtering, Sampling
    5. Image Acquisition
    6. Point Operators, Histogram Transformations
    7. Color, Color Quantization
    8. Point, Edge, Region Analysis, Shape
    9. Segmentation, Relaxation, Hough Transforms
    10. Compression
    11. Image Texture Analysis and Classification
    12. Image Morphology

 

 

上課教材: 標示 表示為最新投影片

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8.       CH8 (自行參閱)

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