Simplified Guide to Image Processing with MATLAB

Learn how MATLAB makes it easy to get started with image processing. Image processing is the foundation for building vision-based systems with cameras. You might have a new idea for using your camera in an engineering or scientific application but have no idea where to start. While image processing can seem like a black art, there are a few key workflows to learn that will get you started.

In this video, using real-world examples, we will demonstrate how MATLAB and Image Processing Toolbox make it easy to:
• Pre-process images using enhancement and filtering techniques
• Separate objects of interest using segmentation techniques
• Test your algorithm on large sets of images
• Previous knowledge of MATLAB and Image Processing Toolbox is not required.

For more details on image processing with MATLAB, refer to the following links:
• More on MATLAB for image processing and computer vision: https://bit.ly/3kR2kqK
• Get a free trial license of Image Processing Toolbox: https://bit.ly/3mV2xuU
• Product Documentation: https://bit.ly/3043gAn
• Sign up for a training course on image processing with MATLAB: https://bit.ly/3mQSG9y
• Learn more about using MATLAB for deep learning: https://bit.ly/3yEX9TL

Sandeep Hiremath works on image processing and computer vision applications in product marketing at MathWorks. Prior to this role, he spent 7 years as a technical evangelist supporting MATLAB users in Academia. He holds a Masters in Mechanical Engineering from Clemson University.

Chapters:
00:00 Introduction - Image Processing made easy
2:38 Demo - Improving visibility in underwater images
17:07 Demo – Identifying colored cones in a robot’s view
29:35 Summary


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