Building Computer Vision Projects with OpenCV 4 and C++

Summary

In this chapter, we explored the basics of object segmentation in a controlled situation where a camera takes pictures of different objects. Here, we learned how to remove background and light to allow us to binarize our image better, thus minimizing the noise. After binarizing the image, we learned about three different algorithms that we can use to divide and separate each object of one image, allowing us to isolate each object to manipulate or extract features.

We can see this whole process in the following image:

Finally, we extracted all of the objects on an image. You will need to do this to continue with the next chapter, where ...