Image analysis

[1] Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face.

For this reason, many important image analysis tools such as edge detectors and neural networks are inspired by human visual perception models.

It involves the fields of computer or machine vision, and medical imaging, and makes heavy use of pattern recognition, digital geometry, and signal processing.

The field was established in the 1950s—1970s, for example with pioneering contributions by Azriel Rosenfeld, Herbert Freeman, Jack E. Bresenham, or King-Sun Fu.

[5] Object-based image analysis has been applied in many fields, such as cell biology, medicine, earth sciences, and remote sensing.