Summary

In this chapter, we understood the basic concepts surrounding computer vision and how to implement a model for object recognition using MATLAB. We started by introducing image processing and computer vision. We learned how tools are available to process images and how computer vision is used for object recognition, motion detection, and pattern recognition. Then, we explored MATLAB tools for computer vision, and how the capabilities and functions provided by MATLAB create a robust environment for the development and prototyping of computer vision applications. Whether your focus is on tasks such as image analysis, object detection, 3D reconstruction, or any related application, MATLAB offers the necessary tools and features to support your work effectively.

After that, we learned how to build a MATLAB model for object recognition by using a CNN and the MNIST dataset. We understood how to import image data into a MATLAB workspace and how to use images to train a CNN. Then...