Modification and Application of ALPI Model Based on Image Gray Value Analysis and K-Means

In this paper, different regions of the collected data samples are grayed out by the image gray value analysis method to obtain the average gray value, and the evaluation levels obtained from the ALPI model classification of different regions are modified by the AGV and K-means algorithms. The relevant data are also collected for validation, and the results show that the accuracy of the classification of ALPI model after modification is improved from 81.4% to 89.3%, in order to provide some reference significance for the field of ALPI model measurement.