一、 绪论
1. 为什么要写这篇文章
2. 图像处理和计算机视觉的分类：图像处理、图像分析和计算机视觉
3. 图像处理和计算机视觉开源库以及编程语言选择：C/C++、Matlab
4. 本文的特点和结构，以及适合的对象
二、 图像处理与计算机视觉相关的书籍
1. 数学
2. 信号处理
3. 模式识别
4. 图像处理与计算机视觉的书籍推荐
5. 小结
三、 计算机视觉中的信号处理与模式识别
1. Boosting
2. Clustering
3. Compressive Sensing
4. Decision Trees
5. Dynamical Programming
6. Expectation Maximization
7. Graphical Models
8. Hidden Markov Model
9. Independent Component Analysis
10. Information Theory
11. Kalman Filter
12. Pattern Recognition and Machine Learning
13. Principal Component Analysis
14. Random Forest
15. RANSAC
16. Singular Value Decomposition
17. Sparse Representation
18. Support Vector Machines
19. Wavelet
四、 图像处理与分析
1. Bilateral Filter
2. Color
3. Compression and Encoding
4. Contrast Enhancement
5. Deblur (Restoration)
6. Dehazing and Defog
7. Denoising
8. Edge Detection
9. Graph Cut
10. Hough Transform
11. Image Interpolation
12. Image Matting
13. Image Modeling
14. Image Quality Assessment
15. Image Registration
16. Image Retrieval
17. Image Segmentation
18. Level Set
19. Pyramid
20. Radon Transform
21. Scale Space
22. Snake
23. Super Resolution
24. Thresholding
25. Watershed
五、 计算机视觉
1. Active Appearance Models
2. Active Shape Models
3. Background modeling and subtraction
4. Bag of Words
5. BRIEF
6. Camera Calibration and Stereo Vision
7. Color and Histogram Feature
8. Deformable Part Model
9. Distance Transformations
10. Face Detection
11. Face Recognition
12. FAST
13. Feature Extraction
14. Feature Matching
15. Harris
16. Histograms of Oriented Gradients
17. Image Distance
18. Image Stitching
19. KLT
20. Local Binary Pattern
21. Low-Level Vision
22. Mean Shift
23. MSER
24. Object Detection
25. Object Tracking
26. OCR
27. Optical Flow
28. Particle Filter
29. Pedestrian and Human detection
30. Scene Classification
31. Shadow Detection
32. Shape
33. SIFT
34. SLAM
35. Texture Feature
36. TLD
37. Video Surveillance
38. Viola-Jones
六、 结束语
https://blog.csdn.net/ding977921830/article/details/46992127