6638 Digital Image Processing (影像處理)
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Course Time: Tue 13:10-16:00
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Classroom: AT338
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Course Outlines: This course covers fundamental concepts and methods in digital image processing and their applications. The course is outlined as:
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1 Introduction
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2 Digital Image Fundamentals
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3 Intensity Transformations and Spatial Filtering
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4 Filtering in the Frequency Domain
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5 Image Restoration and Reconstruction
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6 Wavelet and Other Image Transforms
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7 Color Image Processing
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8 Morphological Image Processing
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9 Image Segmentation
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10 Deep Learning
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11 Image Classification and Object Detection with Convolutional Neural Networks.
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Textbook: "Digital Image Processing", by R. C. Gonzalez and R. E. Woods, 4th Edition, Pearson (開發), 2017.
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Reference Books: "
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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.
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"Hands-On Computer Vision with TensorFlow 2", by Benjamin Planche and Eliot Andres, Packt Publishing, 2019.
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Lecture Notes: Chapter0, 關於PPT授課著作權, Chapter1, Chapter2, Chapter3, Chapter5, Chapter6, Chapter9, Chapter10, Chapter12
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Grade:
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