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What's the difference between image processing and computer vision?
Image processing and computer vision are different in origin time, research object and processing engineering, input and output results and knowledge structure system.

1, the origin time is different.

Image Processing originated in mbth in the 1920s.

Computer vision originated in the early 1960s, but many important advances in the basic research of computer vision were made in the 1980s, when the foreign language was called computer vision.

2. Different subjects and treatment processes.

Image processing mainly studies two-dimensional images, dealing with the mutual conversion process between an image or a group of images.

Computer vision mainly studies three-dimensional scenes mapped to a single image or multiple images. It is the ultimate goal of computer vision to extract abstract semantic information from images and realize image understanding.

3. The input and output results are different.

The input of image processing is an image, and the output is also an image or a set of features and parameters related to the input image.

Computer vision inputs images or image sequences, and outputs the understanding of the real world corresponding to the image sequences, such as detecting faces and recognizing license plates.

4. The knowledge structure system is different.

Image processing mainly includes image compression, image enhancement, image restoration, image matching, image description and recognition.

Computer vision includes image processing, pattern recognition, spatial shape description, geometric modeling and cognitive process. In addition to image processing knowledge, it also covers knowledge in artificial intelligence, machine learning and other fields.

Extended data

Computer vision is widely used in the modern science and technology information age, as follows:

1, used in industrial and manufacturing systems, such as industrial robots and autonomous driving. Machine vision is also widely used in agricultural processes, from bulk materials, which is called removing unwanted things and optically sorting food.

2. It is applied to medical computer vision and medical image processing, and it is the basis of extracting the patient's medical diagnosis results from image data.

Baidu encyclopedia-computer vision

Baidu encyclopedia-image processing