This course will provide an in-depth exploration of fundamental image processing techniques, covering image display, point processing, neighborhood processing, image geometry, image restoration, image segmentation, morphology, and image compression. Students will acquire a comprehensive understanding of key image processing algorithms and gain hands-on experience in applying these techniques to a variety of real-world applications.
學習目標:
1. 學習影像處理相關技術
2. 應用影像處理相關技術以解決實務問題
教科書:
A Computational Introduction to Digital Image Processing. 2016
課程大綱
分配時數
核心能力
備註
單元主題
內容綱要
講授
示範
隨堂作業
其他
Introduction
1. Images and Pictures
2. What is image processing?
Image sampling and acquisition
3
2
1.11.21.32.12.23.13.24.14.24.34.4
Image Display
1. Bit planes
2. Spatial resolution
3. Quantization and dithering
students are able to actively use specialized terminology and professional conventions in all assignments and discussions, making English the mandatory tool for learning subject matter.
達成指標:
Students will develop greater proficiency in both understanding and communicating in English.