Learn OpenCV with Python by Exercises: Build Computer Vision Algorithms by OpenCV with Python for Image Processing

About the Authors
Table of Contents
Learn OpenCV with Python by Exercises
PART 1: Introduction
Chapter 1: Introduction to OpenCV
Chapter 2: Install OpenCV for Python on Windows
   Downloading and Installing OpenCV:
Chapter 3: Install OpenCV for Python in Linux
   Downloading and Installing OpenCV:
Chapter 4: Set up Opencv with anaconda environment
   Requirements for OpenCV and Anaconda
   ANACONDA
   OPENCV
      Creating Anaconda Environment :
      Install OpenCV
      Reading an image
PART 2: Working with Images
Chapter 1: Reading an image in OpenCV using Python
Chapter 2: Python OpenCV | cv2.imshow() method
   Python3
   Python3
   Python3
Chapter 3: Python OpenCV | cv2.imwrite() method
Chapter 4: OpenCV | Saving an Image
   Code : C++ code for saving an image to any location in OpenCV.
   Explanation :
Chapter 5: Color Spaces in OpenCV
Chapter 6: Arithmetic Operations on Images using OpenCV | Set-1 (Addition and Subtraction)
   Addition of Image:
   Subtraction of Image:
Chapter 7: Arithmetic Operations on Images using OpenCV | Set-2 (Bitwise Operations on Binary Images)
   Bitwise AND operation on Image:
   Bitwise OR operation on Image:
   Bitwise XOR operation on Image:
   Bitwise NOT operation on Image:
PART 3: Image Processing
Chapter 1: Image Resizing using OpenCV
Chapter 2: Python OpenCV | cv2.erode() method
Chapter 3: Image blurring using OpenCV
Chapter 4: Python OpenCV | cv2.copyMakeBorder() method
Chapter 5: Grayscaling of Images using OpenCV
   Importance of grayscaling
   Method 1: Using the cv2.cvtColor() function
   Python3
      Method 2: Using the cv2.imread() function with flag=zero
   Python3
      Method 3: Using the pixel manipulation (Average method)
   Python3
Chapter 6: Erosion and Dilation of images using OpenCV in python
Chapter 7: OpenCV Python Program to analyze an image using Histogram
Chapter 8: Histograms Equalization in OpenCV
Chapter 9: Thresholding techniques using OpenCV | Set-1 (Simple Thresholding)
   Simple Thresholding
Chapter 10: Thresholding techniques using OpenCV | Set-2 (Adaptive Thresholding)
Chapter 11: Thresholding techniques using OpenCV | Set-3 (Otsu Thresholding)
Chapter 12: OpenCV: Segmentation using Thresholding
Chapter 13: Python OpenCV | cv2.cvtColor() method
Chapter 14: Filter Color with OpenCV
Chapter 5: Denoising of colored images using opencv
Chapter 6: Visualizing image in different color spaces
Chapter 7: Find Co-ordinates of Contours using OpenCV
Chapter 8: Image Inpainting using OpenCV
Chapter 9: Intensity Transformation Operations on Images
   Log Transformations –
   Power-Law (Gamma) Transformation –
   Piecewise-Linear Transformation Functions –
Chapter 10: Image Registration using OpenCV
   Python
Chapter 11: Background subtraction using OpenCV
Chapter 12: Background Subtraction in an Image using Concept of Running Average
Chapter 13: Foreground Extraction in an Image using Grabcut Algorithm
Chapter 14: Morphological Operations in Image Processing (Opening) | Set-1
Chapter 15: Morphological Operations in Image Processing (Closing) | Set-2
Chapter 16: Morphological Operations in Image Processing (Gradient) | Set-3
Chapter 17: Image segmentation using Morphological operations in Python
Chapter 18: Image Translation using OpenCV
Chapter 19: Image Pyramid using OpenCV
PART 4: Feature Detection and Description
Chapter 1: Line detection in python with OpenCV | Houghline method
Chapter 2: Circle Detection using OpenCV
Chapter 3: Detect corner of an image using OpenCV
Chapter 4: Corner Detection with Shi-Tomasi Corner Detection Method using OpenCV
   Shi-Tomasi Corner Detection –
   Mathematical Overview –
Chapter 5: Corner detection with Harris Corner Detection method using OpenCV
Chapter 6: Find Circles and Ellipses in an Image using OpenCV
Chapter 7: Document field detection using Template Matching
   Python3
Chapter 8: Smile detection using OpenCV
PART 5: Drawing Functions
Chapter 1: Python OpenCV | cv2.line() method
   Implementation:
Chapter 2: Python OpenCV | cv2.arrowedLine() method
Chapter 3: Python OpenCV | cv2.ellipse() method
Chapter 4: Python OpenCV | cv2.circle() method
Chapter 5: Python OpenCV | cv2.rectangle() method
Chapter 6: Python OpenCV | cv2.putText() method
Chapter 7: Find and Draw Contours using OpenCV
Chapter 8: Draw a triangle with centroid using OpenCV
Chapter 9: Play a video using OpenCV
   Below is the complete implementation
Chapter 10: Create video using multiple images using OpenCV
Chapter 11: Extract images from video in Python