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Practical OpenCV 3 Image Processing with Python
Building an Image Search Engine from Scratch
The Course Overview (3:23)
Learning about Hough Transformations (6:27)
Stretch, Shrink, Warp, and Rotate Using OpenCV 3 (4:18)
Image Derivatives (3:59)
Histogram Equalization (5:24)
Reverse Image Search (4:46)
Finding Targets and Number Plate Recognition in Video Stream
Extracting Contours from Images (8:07)
Template Matching for Object Detection (2:57)
Background Subtraction from Images (4:32)
Delaunay Triangulation and Voronoi Tessellation (5:14)
Mean-Shift Segmentation (5:44)
Medical Imaging and Segmentation (6:01)
Scene Understanding and Automatic Labeling from Images
Harris Corner Detection (9:04)
Feature Matching and Homography to Recognize Objects (6:38)
SIFT, SURF, FAST, BRIEF, and ORB Algorithms (5:55)
Mean-Shift, Cam-Shift, and Optical Flow (7:26)
Feature Extraction Using Convolutional Neural Nets (CNNs) (10:42)
Visual Object Recognition and Classification Using CNNs (10:00)
Feature Extraction Using Convolutional Neural Nets (CNNs)
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