Application of Artificial Intelligence Recognition Technology in Digital Image Processing

Table 1

Common methods of image recognition.

Methods	Surface features	Identify ways	Typical criterion
Template matching	Samples, pixels, curves	Correlation coefficient, distance measurement	Classification error
Statistical recognition	Characteristics	Classifier	Classification error
Structure identification	Tectonic language	Rules and grammar	Acceptable error
The neural network	Samples, pixels, features	Network function	Minimum root mean square error