You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Image ProcessingImage processing is the cornerstone in which all of Computer Vision is built. Follow my image processing guides to learn the fundamentals of Computer Vision using the OpenCV library.
In this tutorial, we’ll learn about a step-by-step implementation and utilization of OpenCV’s Contour Approximation. When I first chanced upon the concept of Contour Approximation, the first question that hit me was: Why? Throughout my journey in Machine Learning and…
Read More of OpenCV Contour Approximation
In this tutorial, you will learn about image gradients and how to compute Sobel gradients and Scharr gradients using OpenCV’s cv2.Sobel function. Image gradients are a fundamental building block of many computer vision and image processing routines. We use gradients…
Read More of Image Gradients with OpenCV (Sobel and Scharr)
In this tutorial, you will learn about applying morphological operations with OpenCV. The morphological operations we’ll be covering include: Erosion Dilation Opening Closing Morphological gradient Black hat Top hat (also called “White hat”) These image processing operations are applied to…
Read More of OpenCV Morphological Operations
In this tutorial, you will learn about smoothing and blurring with OpenCV. We will cover the following blurring operations Simple blurring (cv2.blur) Weighted Gaussian blurring (cv2.GaussianBlur) Median filtering (cv2.medianBlur) Bilateral blurring (cv2.bilateralFilter) By the end of this tutorial, you’ll be…
Read More of OpenCV Smoothing and Blurring
In this tutorial, you will learn how to use OpenCV and the cv2.threshold function to apply basic thresholding and Otsu thresholding. Thresholding is one of the most common (and basic) segmentation techniques in computer vision and it allows us to…
Read More of OpenCV Thresholding ( cv2.threshold )
A picture is worth a thousand words. — English idiom We’ve heard this adage countless times in our lives. It simply means that a complex idea can be conveyed in a single image. Whether examining the line chart of our…
Read More of Image Classification Basics
In this tutorial you will learn how to detect low contrast images using OpenCV and scikit-image. Whenever I teach the fundamentals of computer vision and image processing to students eager to learn, one of the first things I teach is:…
Read More of Detecting low contrast images with OpenCV, scikit-image, and Python
In this tutorial, you will learn how to use OpenCV and the cv2.imread function to: Load an input image from disk Determine the image’s width, height, and number of channels Display the loaded image to our screen Write the image…
Read More of OpenCV Load Image (cv2.imread)
In this tutorial, you will learn how to perform image segmentation with Mask R-CNN, GrabCut, and OpenCV. A couple months ago, you learned how to use the GrabCut algorithm to segment foreground objects from the background. GrabCut worked fairly well…
Read More of Image Segmentation with Mask R-CNN, GrabCut, and OpenCV
Object Detection