Image Processing and Computer Vision

Image processing and computer vision are two very exciting fields in computer science. Have you ever wondered about how self-driving cars work? Have you heard about the buzz of smart cities? Both of them, among other applications, are heavily based on image processing and computer vision techniques!

What is computer vision?

Enabling computers or machines to comprehend and interpret digital images and videos in a way that is comparable to the human visual system is the aim of the field of computer vision. Due to this insight, things that humans can accomplish with their visual senses can be automated. To do this, computer vision uses a broad range of methods, strategies, and algorithms, of which image processing is an essential part of this larger framework.

In order for computers to recognize objects, comprehend scenarios, and make decisions using visual information, computer vision tries to replicate human vision as closely as possible. There are several uses for machine learning in computer vision in which it can be used to create models and algorithms that help computers understand and interpret visual information from the wider environment.