Python is of the most popular and versatile programming languages in the tech industry. However, despite their popularity and versatility, mastering them can be challenging, especially for beginners. Technical challenges such as debugging and tight deadlines can cause stress and anxiety, and career advancement and staying up to date with the latest developments in the field can be daunting. OpenCV is one of the most popular computer vision libraries. If you want to start your journey in the field of computer vision, then a thorough understanding of the concepts of OpenCV is of paramount importance. OpenCV is the huge open-source library for Computer Vision, Machine Learning, and image processing and now it plays a major role in real-time operation which is very important in today's systems. By using it, one can process images and videos to identify objects, faces, or even the handwriting of a human. When it integrated with various libraries, such as Numpy, Python is capable of processing the OpenCV array structure for analysis. To Identify image patterns and its various features we use vector space and perform mathematical operations on these features. Here what you'll learn after downloading this book: - Introduction to OpenCV; - Install OpenCV for Python; - Reading an image in OpenCV using Python; - Color Spaces in OpenCV; - Arithmetic Operations on Images using OpenCV; - Image Resizing using OpenCV; - Image blurring using OpenCV; - Grayscaling of Images using OpenCV; - Erosion and Dilation of images using OpenCV; - OpenCV Python Program to analyze an image using Histogram; - Histograms Equalization in OpenCV; - Thresholding techniques using OpenCV; - OpenCV: Segmentation using Thresholding; - Filter Color with OpenCV; - Denoising of colored images using OpenCV; - Visualizing image in different color spaces; - Image Registration using OpenCV; - Find and Draw Contours using OpenCV; - Draw a triangle with centroid using OpenCV; - Play a video using OpenCV; - Create video using multiple images using OpenCV; - Extract images from video in Python; And more...