At　present,　the　key　techniques　of　the　universal　steganography　detection　include　image　feature　extraction　and　classifier　construction.　With　the　structure　of　features　for　steganography　detection　being　more　and　more　complex,　the　computation　of　image　feature　extraction　algorithms　constantly　increases,　which　becomes　the　most　time-consuming　part　of　image　steganography　detection.　In　this　paper,　we　focus　on　the　parallelization　method　for　stego　image　feature　extraction　on　multicore　CPU　system.　By　overcoming　some　disadvantages　of　the　original　OpenMP　parallel　method,　we　propose　a　feature　extraction　method　that　uses　thread-level　task　parallelism,　which　firstly　constructs　a　lock-free　task　queue　for　task　threads,　secondly　reduces　thread　synchronization　overhead　and　finally　solves　false　sharing　issue　and　sets　thread　affinity　scheduling　to　improve　performance.　Results　of　the　experiment　show　that　the　proposed　parallel　method　works　out　good　speedup　performance　on　the　dual-core　and　quad-core　systems.　Compared　with　the　original　OpenMP　method,　our　method　gains　better　speedup　that　is　1.2%　and　3%　faster　respectively,　and　that　improves　the　practicality　of　the　universal　steganography　detection.　©　2013　IEEE.