HOW DOES COMPUTER VISION WORK?
Computer vision uses a small-to-large image processing technique. It starts with detecting and analyzing simple features like pixels and colors, then more complex features like lines and objects. ...
Computer vision works with neural networks and other machine learning algorithms that emulate the human brain. ...
What we do know is that computer vision is all about pattern recognition. ...
COMPUTER VISION TECHNIQUES
While an image recognition software application may use one of the following techniques, advanced applications such as a self-driving car may utilize many of the following techniques simultaneously:
- The object identification technique detects a specific object in an image. Advanced versions can identify multiple objects in a single image.
- Image classification is the technique of grouping images into categories. It is also called the process of assigning labels to images.
- Image segmentation is a technique used to examine an image separately by breaking it into parts.
- Pattern detection identifies patterns and continuities in visual data.
- Edge detection detects the corners of an object to identify the image’s components better.
- Feature matching is a pattern detection technique that matches similarities in images for classification purposes.
See the full story here: https://dataconomy.com/2022/05/computer-vision/