課程名稱 |
影像處理原理及應用 Principles and Applications of Digital Image Processing |
開課學期 |
111-1 |
授課對象 |
學程 全電化都會運輸系統基礎技術學分學程 |
授課教師 |
林達德 |
課號 |
BME7408 |
課程識別碼 |
631 M8210 |
班次 |
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學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期三7,8,9(14:20~17:20) |
上課地點 |
知武會議室 |
備註 |
人工智慧領域核心課程。全電化運輸學程-核心課程。 總人數上限:50人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
This course introduces fundamental principles and applications of digital image processing. It emphasizes on the theory and algorithms as well as practical programming skills underlying a range of topics as follows.
1. Image acquisition and fundamentals
2. Image filtering and enhancement
3. Image restoration and reconstruciton
4. Color image processing
5. Wavelets and other image transforms
6. Image compression
7. Morphological processing
8. Image segmentation
9. Feature description and extraction
10. Image pattern classification |
課程目標 |
To introduce concepts of image processing and basic analytical methods and algorithms used in image processing. To equip students with necessary programming skills for practical applications of image processing. |
課程要求 |
Engineering Mathematics |
預期每週課後學習時數 |
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Office Hours |
每週四 14:00~17:00 每週二 09:30~12:30 備註: 每週星期二上午時段:陳璟寬助教,生機系知武館405室
每週星期四下午時段:汪軍諺助教,生機系知武館405室 |
指定閱讀 |
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參考書目 |
1. Pratt, W. K. 2013. “Introduction to Digital Image Processing”, CRC Press.
2. Sonka, M., V. Hlavac, and R. Boyle. 2014. “Image Processing, Analysis, and Machine Vision”, 4th Ed., Cengage Learning. |
評量方式 (僅供參考) |
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針對學生困難提供學生調整方式 |
上課形式 |
提供學生彈性出席課程方式 |
作業繳交方式 |
延長作業繳交期限 |
考試形式 |
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其他 |
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週次 |
日期 |
單元主題 |
Week 1 |
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Introduction |
Week 2 |
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Digital Image Fundamentals |
Week 3 |
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Intensity Transformation and Spatial Filtering (I) |
Week 4 |
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Intensity Transformation and Spatial Filtering (II) |
Week 5 |
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Filtering in the Frequency Domain |
Week 6 |
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Image Restoration and Reconstruction |
Week 7 |
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Color Image Processing |
Week 8 |
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Mid-Term Exam |
Week 9 |
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Wavelets and Multiresolution Processing (I) |
Week 10 |
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Wavelets and Multiresolution Processing (II) |
Week 11 |
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Image Compression (I) |
Week 12 |
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Image Compression (II) |
Week 13 |
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Morphological Image Processing |
Week 14 |
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Image Segmentation |
Week 15 |
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Representation and Description |
Week 16 |
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Final Exam |
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