An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1

Algorithm 1

Input:

Training sample , Class label , iteration number is , multiple

Decision Stump classifiers.

First, initialize, and then compute the samples weight value of samples

 (1) for

 (2) have a distribution

 (3) using distribution to call multiple Decision Stump classifiers, get a hypothesis:

 (4) compute Error Rate of hypothesis Error Rate

 (5) compute

 (6) update

 (7) end

Output: