LBP index for evaluation of disk degaussing achievement based on AFM image

In the field of information security, it is very important to judge whether the information on a magnetic storage medium is completely destroyed. But so far, domestic research on the degaussing effect of magnetic storage media is still lacking. Previous studies have shown that the magnetic images before and after degaussing can reflect the amount of meaningful information left on the disk, which is closely related to the degaussing effect. Therefore, this paper proposes a new method to study the magnetic images before and after degaussing. This paper introduces the LBP texture feature extraction algorithm to process the magnetic images before and after degaussing, and evaluates the degaussing effect of the magnetic storage medium through the extracted texture feature values. A new LBP degaussing evaluation index is proposed, and the parameters of the index are optimized to achieve the best evaluation performance.