The difference between image processing and computer vision

1. Image processing focuses on image "processing", such as enhancement, restoration, denoising and segmentation.

2. Computer vision focuses on simulating human vision with computers.

Second, the role is different.

1. Computer vision is to process a computer into an image that is more suitable for human eyes to observe or send it to an instrument for detection.

2. A large two-dimensional array obtained by shooting industrial cameras, video cameras, scanners and other equipment for image processing.

Extended data

The goal of computer vision is to fully understand the image formed when electromagnetic waves (mainly visible light and infrared light) meet the surface of an object. This process is based on optical physics and solid physics. Some cutting-edge image sensing systems will even be applied to the theory of quantum mechanics to analyze the real world represented by images.

Many measurement problems in physics can also be solved by computer vision, such as fluid movement. So computer vision can also be regarded as an extension of physics.

Image processing applications:

1, photography and printing

2. Satellite image processing.

3. Medical image processing.

4. Face detection, feature detection and face recognition.

5. Microscope image processing.

6, car obstacle detection (car obstacle detection)

Baidu encyclopedia-computer vision

Baidu encyclopedia-image processing