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.　©　2021　IEEE.