OpenCV Python with Classical Computer Vision Theory

Currently Playing: OpenCV Python Bilateral Filtering

🎁 Get FREE Robotics & AI Resources (Guide, Textbooks, Courses, Resume Template, Code & Discounts) – Sign up via the pop-up at https://kevinwoodrobotics.com/ 📝 Real-World Robotics Project Course Overview and Waitlist: https://forms.gle/xu4rfk7GWHCaZGBEA 🦾 Learn Robotics and AI: https://kevinwoodrobotics.com/product/all-courses-bundle-deal/ 🤝 Consulting and Mentorship: https://kevinwoodrobotics.com/product-category/consulting/ 👁️ Learn OpenCV: https://kevinwoodrobotics.com/product/opencv-python-tutorials-full-playlist/ 🤖 Learn ROS: https://kevinwoodrobotics.com/product/ros2-tutorials-full-playlist/ 🧠 Learn Computer Vision using AI: https://kevinwoodrobotics.com/product/computer-vision-using-ai/ 🖥️ Learn AI and Machine Learning: https://kevinwoodrobotics.com/product/ai-and-machine-learning-bundle/ 🛒 Amazon Store (My Top Picks for Robot Projects and More!): https://www.amazon.com/shop/kevinwoodroboticsai?ref_=cm_sw_r_cp_ud_aipsfshop_Q3AMRNBSVVB00Y1XR9TN_3 ☕ Support My Channel: https://buymeacoffee.com/kevinwoodrobotics/ In this video, I will go over bilateral filtering in OpenCV using Python in VS Code. This is an interesting filter that takes into account intensity and spatial information of the image to preserve the edges when smoothing out the image. 0:00 Introduction 0:23 What is bilateral filtering? 0:35 Why do we need bilateral filtering? 0:53 How does bilateral filtering work? 1:53 Code - bilateral filtering Thanks for watching! If you found this video helpful, please like, subscribe and share: https://www.youtube.com/@kevinwoodrobotics Social: LinkedIn: https://www.linkedin.com/in/kevinwoodrobotics Github: https://github.com/kevinwoodrobotics Instagram: https://www.instagram.com/kevinwoodrobotics/ Twitter: https://twitter.com/kevinwoodrobotics