The difference between image processing and computer vision

Image processing, the technology of analyzing images by computer to achieve the desired results.

Computer vision is a science that studies how to make machines "see". Further, it refers to using cameras and computers to identify, track and measure targets instead of human eyes, and further processing the graphics, so that computers can process images that are more suitable for human eyes to observe or send them to instruments for detection.

2, the content is different

Image processing technology generally includes three parts: image compression, enhancement and restoration, matching, description and recognition.

Computer vision technology includes image acquisition, preprocessing, feature extraction, detection and segmentation and advanced processing.

3. Different degrees of applicability

Image processing is applied to: photographic printing, satellite image processing, medical image processing, face recognition, feature recognition, microscopic image processing and automobile obstacle recognition.

Application of computer vision: vision is an inseparable part of various intelligent/autonomous systems in various application fields, such as manufacturing, inspection, document analysis, medical diagnosis, military and so on. Because of its importance, some advanced countries, such as the United States, list the research of computer vision as a major basic problem in science and engineering that has a wide impact on economy and science, that is, the so-called major challenge.

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