What Is Edge Detection?

What is edge detection? It's like magic, but with math! An edge detection algorithm detects boundaries between areas of different brightness or color in an image. Edge detection makes these boundaries more obvious by highlighting them. Edge detection is built into many new televisions, and it has been used for years by photographers who want to make their pictures look sharper. But these days, edge detection is also being used in the software industry in a much more advanced way: it's one part of a larger pool of filters and techniques pioneered through new technologies like neural networks. A convolutional neural network applies filters and processes to an image to enhance computer image processing. Edge detection is the cornerstone of all image processing. It's not just about detecting edges; it's about detecting the edges that matter. Because when you're trying to find an advantage, you want to know what side of it you're on. That's why edge detection is so important in image processing. Suppose a computer cannot detect the edges around a person's face correctly: It can be disastrous. For example, if a child drew a face that looked like a person's face, it would be a sign that the computer did not correctly detect the edges around it. Edge detection is a process that occurs when an image is disturbed. It is a process by which a sudden change in brightness is identified. The state of edge detection can help tell the depth of the object in the image and also its size of it. Edge detection helps identify where an object starts, how far it goes, and what shape it has. This can be helpful for image processing because you know if it is an object or just a space on your computer screen! So next time you watch your favorite show on Netflix, you'll notice how sharp everything looks—thanks to edge detection!