görüntü-işleme

Learn the concepts of histogram equalization and use it to improve the contrast of images. We cover cv2.equalizeHist() and CLAHE.

Learn to find the Fourier Transform of images using OpenCV and NumPy. We will see cv2.dft(), cv2.idft() and frequency domain applications.

Learn to use Hough Transform to find circles in an image. We will see cv2.HoughCircles() function with practical examples.

Learn to detect lines in an image using Hough Transform. We will see cv2.HoughLines() and cv2.HoughLinesP() functions with examples.

In this article we will learn simple thresholding, adaptive thresholding, and Otsu's thresholding, and we will learn these functions: cv2.threshold, cv2.adaptiveThreshold

Template Matching is a method for searching and finding the location of a template image in a larger image. Learn cv2.matchTemplate() and cv2.minMaxLoc() with examples.

We will learn how to bind a Trackbar to OpenCV windows. We will learn these functions: cv2.getTrackbarPos(), cv2.createTrackbar(), etc.

In this article, we will learn how to convert images from one color space to another, such as BGR to Gray, BGR to HSV, etc. In addition, we will create an application that allows extracting a colored object in a video. We will learn these fun

Hello everyone, in this section we will try to learn how to make the work we do in OpenCV more performant, i.e., faster, etc. As you may already know, when coding with technologies like OpenCV