intro-to-computer-vision-with-python-opencv's Introduction

Introduction to Computer Vision using Python OpenCV

This is a running repository of various tutorials and problem sets using the OpenCV library with Python bindings.

Content	Subject
Chapter 0	IMAGE BASICS IN PYTHON/OPENCV
0.0	Basics: Reading, Showing & Saving Images (OpenCV, matplotlib)
0.1	Basics: Inspecting images by slicing operations
0.2	Basics: Examining color planes & how OpenCV handles them
0.3	Basics: Cropping Images
0.4	Basics: Adding, Subtracting, Scaling & Blending Images Together
0.5	Basics: The Different Border Types in OpenCV
0.6	Basics: Translating Images using OpenCV
0.7	Basics: Drawing Functions in OpenCV
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Chapter 1	IMAGE NOISE
1.0	Noise: Adding various types of noise to images using OpenCV
1.1	Noise: Removing Noise with Gaussian Blur
1.2	Noise: Removing Salt & Pepper Noise with Median Blur
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Chapter 2	IMAGE FILTERS & FILTERING
2.0	Filtering: Blurring Images
2.1	Filtering: Apply a Median Filter in OpenCV (good for S&P noise)
2.2	Filtering: Using Filters as Templates (aka Template Matching)
2.3	Filtering: Aliasing in Images
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Chapter 3	EDGE DETECTION
3.0	Edge Detection: Image Gradients (Sobel, Laplacian)
3.1	Edge Detection: Canny Edge Detection with OpenCV
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Chapter 4	MODEL FITTING
4.0	Model Fitting: Hough Transform (Lines) - By Hand & OpenCV
4.1	Model Fitting: Hough Transform (Circles)
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Chapter 5	PERSPECTIVE IMAGING
5.0	Perspective Imaging: Perspective Projection - Project a Point
5.1	Perspective Imaging: Depth Map from Stereo Images
5.2	Perspective Imaging: Stereo Correspondence - Find Best Match
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Problem Sets	PROBLEM SETS
Problem Set 0	Problem Set Zero - Images as Functions
Problem Set 1	Problem Set One - Edges and Lines