You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In this tutorial, you will learn how to perform histogram matching using OpenCV and scikit-image. Last week we discussed histogram equalization, a basic image processing technique that can improve the contrast of an input image. But what if you wanted…
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In this tutorial, you will learn how to translate and shift images using OpenCV. Translation is the shifting of an image along the x- and y-axis. To translate an image using OpenCV, we must: Load an image from disk Define…
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In this tutorial, you will learn to perform both histogram equalization and adaptive histogram equalization with OpenCV. Histogram equalization is a basic image processing technique that adjusts the global contrast of an image by updating the image histogram’s pixel intensity…
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In this tutorial, you will learn how to use OpenCV’s basic drawing functions. You will learn how to use OpenCV to draw: Lines Rectangles Circles You will also learn how to use OpenCV to draw on images and blank/empty arrays…
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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:…
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In this tutorial, you will learn how to split and merge channels with OpenCV. As we know, an image is represented by three components: a Red, Green, and Blue channel. And while we’ve briefly discussed grayscale and binary representations of…
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In this tutorial, you will learn how to rotate an image using OpenCV. Additionally, I’ll also show you how to rotate an image using my two convenience functions from the imutils library, imutils.rotate and imutils.rotate_bound, which make rotating images with…
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In this tutorial, you will learn how to flip images using OpenCV and the cv2.flip function. Similar to image rotation, OpenCV also provides methods to flip an image across its x- or y-axis. Though flipping operations are used less often,…
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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…
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