Magnetic Resonance Imaging Lab
Dept. of EE, NSYSU, Kaohsiung, Taiwan
Biomedical Image Investigation
研究所選修課,核心課程
112年學年度第一學期課程
優良課程 (111-1)
Course syllabus
針對生醫影像處理技術與生物機率統計分析,熟悉後處理技巧及數據解析能力,課程主題包含:DIP Fundamentals, Filtering, Image segmentation, Image registration, Morphological image processing, Hypothesis testing, Decision making。
Evaluation
Homework : 30%
Exam and quiz: 40%
Term project : 30%
Reference book/ Textbook
Rafael C. Gonzalez and Richard E. Woods , Digital Image Processing, 2017
Geoff Dougherty, Digital Image Processing for Medical Applications, 2009
George C. Runger, and Norma F. Hubele, Engineering Statistics, 2010
Weekly scheduled progress
Week | Topic
1 Introduction
2 Digital Image Fundamentals
3 Histogram and Intensity Transformation
4 Image Enhancement: Filtering in Spatial domain
5 Image Enhancement: Filtering in Frequency Domains
6 Image Enhancement: Restoration
7 Color Image Processing
8 Morphological Image Processing
9 Image Segmentation and Registration
10 Quiz and Project Proposal
11 Statistics: Random Variables and Probability Distribution
12 Decision Making: Hypothesis Testing
13 One-sample Test and Two-sample Test
14 ANOVA Analysis
15 Final Exam
16 Project Report
17 Flexible Learning Week
18 Flexible Learning Week