Image Processing | OpenCV

Master OpenCV: Unlock the Power of Computer Vision & Image Processing

Ratings: 5.00 / 5.00


Unleash the power of computer vision with our comprehensive course on OpenCV and Image Processing. This dynamic course is designed for beginners and intermediate learners, delving deep into the practical aspects of computer vision, leveraging the OpenCV library.

  • Start your journey with a brief introduction to OpenCV, understanding its history, significance, and varied applications.

  • Swiftly move on to its installation process, setting up the coding environment in different operating systems.

  • The course imparts foundational knowledge of image processing techniques such as image manipulation, filtering, and transformation using OpenCV.

  • Get hands-on experience with real-world projects encompassing object detection, face recognition, optical character recognition, and more.

  • Each project will hone your understanding of computer vision algorithms and how to implement them using OpenCV's extensive features.

  • Explore the exciting realm of machine learning in computer vision, applying sophisticated techniques like neural networks and deep learning.

  • Understand how to work with video sequences, perform video analysis, and even tap into motion detection and tracking.

By the end of this course, you'll have a strong grasp on OpenCV and Image Processing techniques, propelling you towards a promising career in computer vision. Whether you're an aspiring data scientist, a robotics enthusiast, or a software developer, this course equips you with the skills to build powerful visual recognition systems.

What You Will Learn!

  • What is image processing
  • How to use OpenCV to solve image problems
  • What is morphological operation
  • How to manipulate the images
  • How to add and subtract images
  • What are Noising and De-noising models
  • How to dilate and erode image
  • What is a color histogram
  • How to extract features from an image
  • What is Gaussian blur

Who Should Attend!

  • Python developers
  • Machine learning enthusiasts
  • Data scientists
  • Students