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OpenCV arithmetic operations can help improve the input images' properties and help analyze them. Read more to know!
In this article, we will see how colorization of images can be done using some concepts of OpenCV and Deep Learning.
CLAHE works on small areas of an image called tiles rather than the complete image. This algorithm can be used to improve image contrast.
Template matching is a high-level computer vision approach that detects image portions that match a predetermined template
Learn about edge detection, its importance, and deep learning approaches. Explore Canny and HED implementations and evaluation metrics.
Logo detection is a part of a broader family of object detection. In object detection, we predict the bounding box for objects in an image.
Image caption generator is the most used application in the industry these days. This article will tell you how to build and evaluate it.
Explore the different versions of YOLO and learn to perform object detection on a custom dataset with YOLOv7 following our step-by-step guide.
Image gradient is used in edge detection. Many algorithms, such as Canny Edge Detection, use image gradients for detecting edges.
Image thresholding is a type of image segmentation that divides the foreground from the background in an image.
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