How to apply image recognition?

The basis of practical technologies such as stereo vision, motion analysis, and data fusion, it has important application value in many fields such as navigation, map and terrain registration, natural resource analysis, weather forecast, environmental monitoring, and physiological disease research. .

1. Remote sensing image recognition: Aerial remote sensing and satellite remote sensing images are usually processed using image recognition technology to extract useful information. This technology is mainly used for terrain and geological exploration, forest, water conservancy, ocean, agriculture and other resource surveys, disaster prediction, environmental pollution monitoring, meteorological satellite cloud image processing and ground military target identification, etc.

2. Applications in the field of communication: including image transmission, video telephone, video conferencing, etc.

3. Applications in military, public security criminal investigation and other fields: Image recognition technology is widely used in military and public security criminal investigation, such as reconnaissance, guidance and warning systems for military targets; automatic fire extinguisher control and anti-camouflage ; Processing and identification of on-site photos, fingerprints, handwriting, seals, portraits, etc. of the public security department; restoration and management of historical text and picture files, etc.

4. Biomedical image recognition: Image recognition is widely used in modern medicine. It is intuitive, non-invasive, safe and convenient. Image recognition technology, such as CT (Computed Tomography) technology, is widely used in clinical diagnosis and pathological research.

5. Application in the field of machine vision: As an important sensory organ of intelligent robots, machine vision mainly understands and recognizes 3D images. This technology is also one of the hot topics of research.

Machine vision is also used in a wide range of applications, such as autonomous robots for military reconnaissance and hazardous environments, and intelligent robots for postal services, hospitals and home services. In addition, machine vision can also be used for workpiece identification and positioning in industrial production, automatic operation of space robots, etc.

Extended information

Research on digital image processing and recognition began in 1965. Compared with analog images, digital images have great advantages such as storage, easy transmission and compression, less distortion during transmission, and easy processing. These have provided powerful impetus for the development of image recognition technology. Object recognition mainly refers to the perception and understanding of objects and environments in the three-dimensional world, and belongs to the category of advanced computer vision.

It is based on digital image processing and recognition and combines the research directions of artificial intelligence, systems science and other disciplines. Its research results are widely used in various industrial and detection robots. One of the shortcomings of modern image recognition technology is poor adaptive performance. Once the target image is contaminated by strong noise or the target image has large defects, it is often impossible to obtain ideal results.