Summary

In this chapter, we started with the introduction of computer vision and image processing. We described OpenCV library, which is specifically made for computer vision applications, and how it is different from other computer vision software. OpenCV can leverage the parallel processing capability of GPU by using CUDA. We looked at the installation procedure for OpenCV with CUDA in all operating systems. We described the process to read an image from disk, display it on screen, and save it back to disk. Videos are nothing more than a sequence of images. We learned to work with videos from disk as well as videos captured from camera. We developed several image processing applications that do different operations on images, such as arithmetic operations, logical operations, color space conversions, and thresholding. In the last section, we compared the performance of the...