Comparison of soft threshold and hard threshold and today various threshold calculation method, Between two images showing the relative circumstances of each pixel, BP neural network function fitting and pattern recognition.

Application of small area variance comparison, simple procedures, Through repeated training eaTclRclate have higher recognition rate, Between two images showing the relative circumstances of each pixel.