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Introduces various algorithm analysis and programming implementation techniques for digital image processing.
The main contents include: bitmap basics, image display, image geometric transformation, image grayscale transformation, image smoothing, image sharpening and edge detection, image segmentation and measurement, image morphological processing, image processing Transform domain processing and application, image synthesis, 24-bit color image processing, JPEG image compression coding.
Chapters
Chapter 1：Chapter 1 Lecture 1 Overview of Digital Image Processing (45 minutes and 52 seconds)
Chapter 2：Chapter 1 Lecture 2 Image Storage Format (36 minutes and 23 seconds)
Chapter 3：Chapter 1 Lecture 3 Basics of Image Processing Based on MATLAB (31 minutes and 25 seconds)
Chapter 4：Chapter 2 Lecture 1 Basics of Image Processing Programming (42 minutes and 51 seconds)
Chapter 5：Chapter 2 Lecture 2 Image Display (38 minutes and 38 seconds)
Chapter 6：Chapter 2 Lecture 2 Reading and display of images based on MATLAB (22 minutes and 35 seconds)
Chapter 7：Chapter 2 Lecture 3 Special Effects Display of Images (34 minutes and 47 seconds)
Chapter 8：Chapter 2 Lecture 4 Experiment 1 Special Effects Display of Images (35 minutes and 19 seconds)
Chapter 9：Chapter 3 Lecture 1 Basics of Geometric Transformation (lectured by Zhang Hua) (27 minutes and 5 seconds)
Chapter 10：Chapter 3 Lecture 1 Basics of Geometric Transformation (lectured by Yang Shuying) (33 minutes and 30 seconds)
Chapter 11：Chapter 4 Lecture 1 Image Enhancement and Grayscale Transformation (45 minutes and 56 seconds)
Chapter 12：Chapter 4 Lecture 3 Image Grayscale Transformation Based on MATLAB (22 minutes and 55 seconds)
Chapter 13：Chapter 4 Lecture 4 Experiment 2 Image Grayscale Transformation Processing (24 minutes and 28 seconds)
Chapter 14：Chapter 5 Lecture 1 Basic Concepts of Smoothing (47 minutes and 39 seconds)
Chapter 15：Chapter 5 Lecture 2 Noise Elimination Method and Neighborhood Average Method (44 minutes and 53 seconds)
Chapter 16：Chapter 5 Lecture 3 Median Filtering Method (46 minutes and 50 seconds)
Chapter 17：Chapter 5 Lecture 3 Image Smoothing Processing Based on MATLAB (17 minutes and 48 seconds)
Chapter 18：Chapter 6 Lecture 1 Basic Methods of Image Edge Sharpening (47 minutes and 7 seconds)
Chapter 19：Chapter 6 Lecture 2 Differential Operations and Gradient Sharpening (38 minutes and 46 seconds)
Chapter 20：Chapter 6 Lecture 3 Edge Detection (46 minutes and 14 seconds)
Chapter 21：Chapter 6 Lecture 3 Image Edge Detection Based on MATLAB (17 minutes and 56 seconds)
Chapter 22：Chapter 6 Lecture 4 Experiment 3 Contour Extraction of Target Objects (21 minutes and 59 seconds)
Chapter 23：Chapter 7 Lecture 1 Overview and Image Threshold Segmentation (lectured by Wen Xianbin) (9 minutes and 52 seconds)
Chapter 24：Chapter 7 Lecture 1 Image Segmentation Based on MATLAB (17 minutes and 16 seconds)
Chapter 25：Chapter 7 Lecture 2 Contour Extraction of Target Objects (42 minutes and 42 seconds)
Chapter 26：Chapter 8 Lecture 1 Basic Concepts of Morphology (48 minutes and 42 seconds)
Chapter 27：Chapter 8 Lecture 2 Image Corrosion, Expansion, Opening and Closing (41 minutes and 31 seconds)
Chapter 28：Chapter 8 Lecture 2 Image Morphological Processing Based on MATLAB (31 minutes and 37 seconds)
Chapter 29：Chapter 8 Lecture 3 Image thinning, coarsening and central axis transformation (48 minutes and 34 seconds)
Chapter 30：Chapter 9 Lecture 2 Frequency domain low-pass filtering and high-pass filtering (47 minutes and 20 seconds)
Chapter 31：Chapter 9 Lecture 2 Image transformation domain processing based on MATLAB (41 minutes and 38 seconds)
Chapter 32：Chapter 10 Lecture 1 Image Synthesis (lectured by Yang Shuying) (43 minutes and 36 seconds)
Chapter 33：Chapter 10 Lecture 1 Image Synthesis (lectured by Wang Yuanquan) (10 minutes and 35 seconds)
Chapter 34：Chapter 10 Lecture 1 Image Synthesis Processing Based on MATLAB (21 minutes and 20 seconds)
Chapter 35：Chapter 11 Lecture 1 Overview and Color Space (42 minutes and 31 seconds)
Chapter 36：Chapter 11 Lecture 1 Color Image Processing Based on MATLAB (17 minutes and 0 seconds)
Chapter 37：Chapter 11 Lecture 4 Experiment 4 24-bit Color Image Processing (13 minutes and 42 seconds)
Chapter 38：Chapter 12 Lecture 1 Basic Concepts of Wavelet Transform (44 minutes and 30 seconds)
Chapter 39：Chapter 12 Lecture 2 Wavelet Transform Processing of Images (30 minutes and 52 seconds)
Chapter 40：Chapter 12 Lecture 2 Image Wavelet Transform Processing Based on MATLAB (52 minutes and 52 seconds)
Chapter 41：Chapter 13 Lecture 2 JPEG Compression (41 minutes and 51 seconds)
Chapter 42：Chapter 14 Lecture 1 Face Recognition and Evaluation Guidance for Students’ Works (26 minutes and 46 seconds)
Chapter 43：Chapter 14 Lecture 1 Remote Sensing Image Segmentation and Registration (37 minutes and 15 seconds)
Chapter 44：Chapter 14 Lecture 2 Application of Image Processing in Medicine (37 minutes and 58 seconds)
Chapter 45：Chapter 14 Lecture 2 Cell Statistics and Evaluation Guidance for Students’ Works (34 minutes and 43 seconds)
Chapter 46：Chapter 14 Lecture 3 Application of Total Variation (TV) Model in Image Restoration (37 minutes and 58 seconds)
Chapter 47：Chapter 14 Lecture 4 Handwritten Digit Recognition (43 minutes and 50 seconds)
Chapter 48：Chapter 14 Lecture 4 Car License Plate Case Analysis (28 minutes and 12 seconds)
Chapter 49：Chapter 14 Lecture 6 Case Study on Printed Chinese Character Recognition (35 minutes and 0 seconds)
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