10 hours of learning image processing opencv introductory tutorial

Learn opencv in 10 hours, leading you to appreciate the charm of simple image processing:
1. Understand what opencv is and its installation
2. Understand the architecture of opencv
3. Master the IO operation of images by opencv
4. Master the image processing method of opencv
5. Master Opencv feature extraction and description method
6. Use opencv for face recognition

• Chapter 1：Course Introduction (5 minutes and 56 seconds)

• Chapter 2：Introduction to image processing (14 minutes and 22 seconds)

• Chapter 3：Introduction to opencv and its installation method (8 minutes and 1 seconds)

• Chapter 4：opencv module (4 minutes and 56 seconds)

• Chapter 5：Introduction to the basic operation content of opencv (1 minutes and 29 seconds)

• Chapter 6：Image IO operations (13 minutes and 45 seconds)

• Chapter 7：Draw shapes on images (10 minutes and 50 seconds)

• Chapter 8：Other content on basic image operations (14 minutes and 20 seconds)

• Chapter 9：Summary of basic image processing (4 minutes and 15 seconds)

• Chapter 10：Addition of images (8 minutes and 5 seconds)

• Chapter 11：blend of images (4 minutes and 45 seconds)

• Chapter 12：Image zoom (9 minutes and 37 seconds)

• Chapter 13：image pan (7 minutes and 44 seconds)

• Chapter 14：image rotation (14 minutes and 16 seconds)

• Chapter 15：Affine transformation of image (8 minutes and 49 seconds)

• Chapter 16：Transmission transformation of an image (9 minutes and 54 seconds)

• Chapter 17：image pyramid (6 minutes and 5 seconds)

• Chapter 18：Summary of geometric transformations (4 minutes and 0 seconds)

• Chapter 19：connectivity (6 minutes and 9 seconds)

• Chapter 20：Expansion and corrosion (12 minutes and 58 seconds)

• Chapter 21：Open and close operation (9 minutes and 11 seconds)

• Chapter 22：Black hat and top hat (5 minutes and 57 seconds)

• Chapter 23：Summary of morphological operations (3 minutes and 7 seconds)

• Chapter 24：image noise (4 minutes and 15 seconds)

• Chapter 25：mean filter (7 minutes and 17 seconds)

• Chapter 26：Gaussian filter (7 minutes and 55 seconds)

• Chapter 27：median filter (3 minutes and 32 seconds)

• Chapter 28：Image Smoothing Summary (2 minutes and 18 seconds)

• Chapter 29：The principle and display of histogram (14 minutes and 6 seconds)

• Chapter 30：Mask application (11 minutes and 25 seconds)

• Chapter 31：Histogram equalization (5 minutes and 34 seconds)

• Chapter 32：adaptive equalization (6 minutes and 55 seconds)

• Chapter 33：Histogram summary (4 minutes and 5 seconds)

• Chapter 34：Edge detection principle (4 minutes and 6 seconds)

• Chapter 35：sobel operator (13 minutes and 9 seconds)

• Chapter 36：laplacian operator (4 minutes and 53 seconds)

• Chapter 37：Canny edge detection (6 minutes and 7 seconds)

• Chapter 38：Edge detection summary (3 minutes and 45 seconds)

• Chapter 39：template matching (15 minutes and 50 seconds)

• Chapter 40：Hough line transformation principle (11 minutes and 44 seconds)

• Chapter 41：Hough line detection (12 minutes and 44 seconds)

• Chapter 42：Hough circle detection (11 minutes and 44 seconds)

• Chapter 43：Template matching and Hough detection summary (2 minutes and 52 seconds)

• Chapter 44：corner feature (4 minutes and 0 seconds)

• Chapter 45：Harris detection principle (7 minutes and 10 seconds)

• Chapter 46：harris detection demonstration (6 minutes and 19 seconds)

• Chapter 47：shi-tomas checkpoint detection (6 minutes and 14 seconds)

• Chapter 48：Harris and Shi-tomas summary (1 minutes and 16 seconds)

• Chapter 49：Introduction to SIFT algorithm (5 minutes and 29 seconds)

• Chapter 50：SIFT algorithm-scale space extreme point search and extreme point location (16 minutes and 23 seconds)

• Chapter 51：SIFT algorithm-key point direction and descriptor (10 minutes and 12 seconds)

• Chapter 52：Summary of SIFT algorithm and introduction to SURF algorithm (3 minutes and 11 seconds)

• Chapter 53：SIFT algorithm implementation (9 minutes and 9 seconds)

• Chapter 54：FAST algorithm principle (9 minutes and 40 seconds)

• Chapter 55：FAST algorithm implementation (7 minutes and 55 seconds)

• Chapter 56：ORB algorithm principle (11 minutes and 4 seconds)

• Chapter 57：ORB algorithm implementation (4 minutes and 31 seconds)

• Chapter 58：Summary of FAST and ORB algorithms (3 minutes and 9 seconds)

• Chapter 59：Video reading and display (9 minutes and 0 seconds)

• Chapter 60：Video file saving (7 minutes and 20 seconds)

• Chapter 61：Video Reading and Writing Summary (2 minutes and 25 seconds)

• Chapter 62：meanshift principle (6 minutes and 28 seconds)

• Chapter 63：meanshift implementation (14 minutes and 36 seconds)

• Chapter 64：camshift algorithm and summary (5 minutes and 8 seconds)

• Chapter 65：Face detection basics (3 minutes and 59 seconds)

• Chapter 66：Face detection implementation (13 minutes and 53 seconds)

• Chapter 67：Face detection summary (1 minutes and 53 seconds)