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Practical OpenCV 3 Image Processing with Python
Building an Image Search Engine from Scratch
The Course Overview
Learning about Hough Transformations
Stretch, Shrink, Warp, and Rotate Using OpenCV 3
Image Derivatives
Histogram Equalization
Reverse Image Search
Finding Targets and Number Plate Recognition in Video Stream
Extracting Contours from Images
Template Matching for Object Detection
Background Subtraction from Images
Delaunay Triangulation and Voronoi Tessellation
Mean-Shift Segmentation
Medical Imaging and Segmentation
Scene Understanding and Automatic Labeling from Images
Harris Corner Detection
Feature Matching and Homography to Recognize Objects
SIFT, SURF, FAST, BRIEF, and ORB Algorithms
Mean-Shift, Cam-Shift, and Optical Flow
Feature Extraction Using Convolutional Neural Nets (CNNs)
Visual Object Recognition and Classification Using CNNs
SIFT, SURF, FAST, BRIEF, and ORB Algorithms
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