Bilgisayarın Gözleri #2 — Görüntülerin Mutfağı: Pikseller, Matrisler ve Kanallar

📰 Medium · Python

Learn the basics of image processing with OpenCV, including pixels, matrices, and channels, and how to display images on the screen

beginner Published 20 Apr 2026

Action Steps

Install OpenCV using pip: 'pip install opencv-python' to get started with image processing
Import OpenCV in Python: 'import cv2' to use its functions
Read an image using OpenCV: 'img = cv2.imread('image.jpg')' to load an image file
Display an image using OpenCV: 'cv2.imshow('Image', img)' to show the image on the screen
Understand the concept of pixels, matrices, and channels in image processing: 'img.shape' to get the dimensions and number of channels in the image

Who Needs to Know This

This tutorial is beneficial for software engineers, data scientists, and computer vision engineers who want to understand the fundamentals of image processing and work with OpenCV

Key Insight

💡 OpenCV is a powerful library for image processing, and understanding its basics is crucial for working with images in Python