With　the　development　of　quantum　computing,　the　application　of　it　to　image　processing　has　lots　of　advantages　compared　to　classical　image　processing.　In　this　paper,　we　propose　a　scheme　to　extract　the　interest　point　in　quantum　images.　Interest　point　is　a　kind　of　feature　point　which　can　help　to　identify　the　target　object　in　the　image.　Our　scheme　is　based　on　the　idea　of　Luminance　Contrast　(LC)　algorithm.　The　scheme　computes　the　absolute　value　of　gray　level　differences　between　a　pixel　and　the　others,　and　then　adds　all　these　differences　together.　The　sum　is　defined　as　a　saliency.　After　computing　the　saliency　of　every　pixel,　we　label　the　pixels　with　the　maximal　saliency　as　the　interest　points.　The　algorithm　has　pretty　good　performance　and　its　time　complexity　is　much　better　than　the　classical　algorithm　in　same　conditions,　which　provides　a　new　idea　for　the　extraction　of　image　interest　point.