Summary

In this chapter, we learned the concept and demonstration of high-pass filters. We applied high-pass filters on images to obtain various results. We also demonstrated the various techniques for detecting features, such as corners, lines, edges, and circles. All of these feature-detection algorithms rely on high-pass filtering. Canny's algorithm for edge detection uses Gaussian high-pass filters. The Harris corner detection algorithm uses Sobel spatial derivatives. All of these geometric feature-detection algorithms are routinely employed in real life in industrial automation, smart vehicles, and robotics.

In the next chapter of this book, we will learn the concepts and demonstrate the restoration of degraded images; the segmentation of images; k-means clustering of one-, two-, and multi-dimensional data; image quantization using k-means clustering; and the estimation of a depth map in detail.