{"id":46097,"date":"2022-12-06T11:32:49","date_gmt":"2022-12-06T02:32:49","guid":{"rendered":"https:\/\/www.charlezz.com\/?p=46097"},"modified":"2022-12-06T11:32:51","modified_gmt":"2022-12-06T02:32:51","slug":"opencv%eb%a1%9c-%eb%b0%b0%ec%9a%b0%eb%8a%94-%ec%95%88%eb%93%9c%eb%a1%9c%ec%9d%b4%eb%93%9c-%ed%85%9c%ed%94%8c%eb%a6%bf-%eb%a7%a4%ec%b9%ad","status":"publish","type":"post","link":"https:\/\/charlezz.com\/?p=46097","title":{"rendered":"[OpenCV\ub85c \ubc30\uc6b0\ub294 \uc548\ub4dc\ub85c\uc774\ub4dc] \ud15c\ud50c\ub9bf \ub9e4\uce6d"},"content":{"rendered":"\n

\ud15c\ud50c\ub9bf \ub9e4\uce6d<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\uc774\ubc88 \ud3ec\uc2a4\ud305\uc5d0\uc11c\ub294 \ud15c\ud50c\ub9bf \ub9e4\uce6d<\/strong>\uc744 \ud1b5\ud55c \uc774\ubbf8\uc9c0\ub0b4 \uac1d\uccb4\ub4e4\uc744 \ucc3e\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8ec\ub2e4.<\/p>\n\n\n\n

\ud15c\ud50c\ub9bf \ub9e4\uce6d\uc740 \ud070 \uc774\ubbf8\uc9c0\ub0b4\uc5d0\uc11c \ud15c\ud50c\ub9bf \uc774\ubbf8\uc9c0\uc758 \uc704\uce58\ub97c \ucc3e\ub294 \ubc29\ubc95\uc744 \ub9d0\ud55c\ub2e4. OpenCV\uc5d0\uc11c\ub294 \uc774\ub97c \uc704\ud574 matchTemplate()<\/a>\uc774\ub77c\ub294 \ud568\uc218\ub97c \uc81c\uacf5\ud558\uace0 \uc788\ub2e4. \ud15c\ud50c\ub9bf \ub9e4\uce6d\uc758 \uc6d0\ub9ac\ub294 \uc5b4\ub835\uc9c0 \uc54a\ub2e4.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\"\"\/<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\ub2e8\uc21c\ud788 \ud15c\ud50c\ub9bf \uc774\ubbf8\uc9c0\ub97c \uc6d0\ubcf8 \uc774\ubbf8\uc9c0\uc0c1\uc5d0\uc11c \uc870\uae08\uc529 \uc62e\uae30\uace0 \ud53d\uc140\ub4e4\uc744 \ube44\uad50\ud558\uc5ec \uc5bc\ub9c8\ub098 \uc77c\uce58\ud558\ub294\uc9c0\ub97c \ud655\uc778\ud558\ub294 \uc791\uc5c5\uc774\ub2e4. OpenCV\uc5d0\uc11c\ub294 \uc774\ub7f0 \ud0d0\uc0c9\uc744 \uc704\ud55c \uba87\uac00\uc9c0 \ubc29\ubc95\ub4e4\uc774 \uad6c\ud604\ub418\uc5b4\uc788\ub2e4. <\/p>\n\n\n\n

\ub9e4\uce6d \ubc29\ubc95\uc5d0 \ub530\ub978 \uacb0\uacfc \uc774\ubbf8\uc9c0<\/h2>\n\n\n\n
\"\"
\ud15c\ud50c\ub9bf \ub9e4\uce6d\uc73c\ub85c \ucd95\uad6c\uc120\uc218 messi\uc758 \uc5bc\uad74 \ucc3e\uae30 <\/figcaption><\/figure>\n\n\n\n

matchTemplate \ud638\ucd9c \uc774\ud6c4 \ud68c\uc0c9\uc870 \uc774\ubbf8\uc9c0\ub97c \ubc18\ud658\ud558\uba70, \uc774 \ubc18\ud658\ub41c \ud68c\uc0c9\uc870 \uc774\ubbf8\uc9c0\ub294 \uc785\ub825\ub41c \uc774\ubbf8\uc9c0\uc640 \ud15c\ud50c\ub9bf \uc774\ubbf8\uc9c0\uac04 \uc720\uc0ac\ub3c4\ub97c \ub098\ud0c0\ub0b8\ub2e4.<\/p>\n\n\n\n

\uc785\ub825\ub41c \uc774\ubbf8\uc9c0\uc758 \uc0ac\uc774\uc988\uac00 (W * H) \uc774\uace0, \ud15c\ud50c\ub9bf \uc774\ubbf8\uc9c0\uac00 (w * h)\ub77c\uace0 \ud560 \ub54c \ucd9c\ub825\ub418\ub294 \uc774\ubbf8\uc9c0\uc758 \uc0ac\uc774\uc988\ub294 (W-w+1, H-h+1)\uacfc \uac19\ub2e4. \uc77c\ub2e8 \uacb0\uacfc\ubb3c\uc744 \uc5bb\uace0 \ub098\uba74 minMaxLoc() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ucd5c\ub313\uac12\uacfc, \ucd5c\uc19f\uac12\uc744 \uad6c\ud560 \uc218 \uc788\ub2e4. <\/p>\n\n\n\n

\ub2e4\uc74c \ud0ec\ud50c\ub9bf \ub9e4\uce6d \ubc29\ubc95(methods)\uc5d0 \ub530\ub978 \uacb0\uacfc \uc774\ubbf8\uc9c0\ub97c \ud655\uc778\ud574\ubcfc \uc218 \uc788\ub2e4.<\/p>\n\n\n\n

TM_SQDIFF<\/h3>\n\n\n\n

Squared Difference\uc758 \uc57d\uc790. \ud15c\ud50c\ub9bf \uc601\uc0c1\uacfc \uac19\uc740 \uc704\uce58\uc5d0 \uc788\ub294 \ubd80\ubd84\uc601\uc0c1\uc758 \ud53d\uc140\ub07c\ub9ac \ube80 \uac12\uc744 \uc81c\uacf1\ud574\uc11c \uadf8 \uac12\uc744 \ub2e4 \ub354\ud55c\ub2e4. \uadf8\ub7ec\ubbc0\ub85c \ud568\uc218 R\uc740 \uc644\uc804\ud788 \uac19\uc73c\uba74 0\uc774\ub418\uace0, \ub2e4\ub974\uba74 \uac12\uc774 \ucee4\uc9c4\ub2e4.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

TM_SQDIFF_NORMED<\/h3>\n\n\n\n

TM_SQDIFF\ub294 \uac12\uc774 \ub2e4\ub97c \ub54c \ub108\ubb34 \ucee4\uc9c0\ub294 \ud2b9\uc9d5\uc774 \uc788\ub294\ub370, \uc774\ub97c \ubcf4\uc644\ud574\uc11c 0~1\uc0ac\uc774\uc758 \uac12\uc73c\ub85c \uc815\uaddc\ud654 \ud55c \uac83\uc774\ub2e4.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

TM_CCORR <\/h3>\n\n\n\n

Cross CORRelation\uc758 \uc57d\uc790 \ud15c\ud50c\ub9bf \uc601\uc0c1\uc758 \ud53d\uc140\uac12\uacfc \ubd80\ubd84 \uc601\uc0c1\uc758 \ud53d\uc140\uac12\uc744 \uacf1\ud55c\ub4a4 \uadf8 \uac12\uc744 \ub2e4 \ub354\ud55c\ub2e4. \uac19\uc740 \uc704\uce58\uc5d0 \ud53d\uc140(\uc2e0\ud638)\ub07c\ub9ac \ub2e4 \ub354\ud558\ub294 \uc774\ub7ec\ud55c \uc218\uc2dd\uc744 Correlation\uc774\ub77c\uace0 \ud558\ub294\ub370, Correlation\uc774\ub77c\ub294 \uac83\uc740 \ub450 \uc2dc\uadf8\ub110\uc774 \ube44\uc2b7\ud55c \ubaa8\uc591\uc744 \uac00\uc9c0\uace0 \uc788\uc744 \ub54c \uac12\uc774 \ud06c\uac8c \ub098\ud0c0\ub09c\ub2e4. \uadf8\ub7ec\ubbc0\ub85c \ud15c\ud50c\ub9bf \uc601\uc0c1\uacfc \ubd80\ubd84\uc601\uc0c1\uc774 \uac19\uc73c\uba74 \ud070 \uac12\uc744 \ub098\ud0c0\ub0b4\uace0, \ub2e4\ub974\uba74 \uc791\uc740 \uac12\uc744 \ub098\ud0c0\ub0b8\ub2e4.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

TM_CCORR_NORMED<\/h3>\n\n\n\n

TM_CCORR\ub3c4 \uac12\uc774 \ub2e4\ub97c \ub54c \ub108\ubb34 \ucee4\uc9c0\ubbc0\ub85c, \uc774\ub97c \ubcf4\uc644\ud574\uc11c 0~1\uc0ac\uc774\uc758 \uac12\uc73c\ub85c \uc815\uaddc\ud654 \ud55c \uac83\uc774\ub2e4.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

TM_CCOEFF<\/h3>\n\n\n\n

Correlation COEFFicient(\uc0c1\uad00 \uacc4\uc218), \uc218\uc2dd\uc744 \uc0b4\ud3b4\ubcf4\uba74 TM_CCORR\uacfc \ube44\uc2b7\ud558\ub2e4. \ud15c\ud50c\ub9bf \uc601\uc0c1\uacfc \ubd80\ubd84\uc601\uc0c1\uc758 \ud3c9\uade0\uac12\uc744 \uac01\uac01 \ube80 \uac12\uc744 \uc218\uc2dd\uc5d0 \uc801\uc6a9\ud558\uace0 \uc788\ub294\ub370, \uc989 \ud3c9\uade0 \ubc1d\uae30\uac12\uc744 \ube7c\uc11c \ubcf4\uc815\uc744 \ud55c\ub2e4\ub294 \uc758\ubbf8\ub2e4. \ubc1d\uae30\uc5d0 \ub300\ud55c \ubcf4\uc815\uc744 \ud55c \ub4a4 Correlation \uc5f0\uc0b0\uc744 \ud55c\ub2e4. \uc5f0\uc0b0\ub7c9\uc774 \uc0c1\ub300\uc801\uc73c\ub85c \ub9ce\uc9c0\ub9cc, \uc880 \ub354 \uacb0\uacfc\uac00 \uc88b\ub2e4\uace0 \ubcfc \uc218 \uc788\ub2e4.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

TM_CCOEFF_NORMED<\/h3>\n\n\n\n

TM_CCOEFF\ub97c \uc815\uaddc\ud654 \ud55c \uac83\uc73c\ub85c \uc644\uc804\ud788 \uc77c\uce58\ud558\uba74 1, \uc5ed\uc77c\uce58\ud558\uba74 -1, \uc0c1\ud638 \uc5f0\uad00\uc131\uc774 \uc5c6\uc73c\uba74 0\uc744 \ubc18\ud658\ud55c\ub2e4. \uc5f0\uc0b0\ub7c9\uc774 \ub9ce\uc74c\uc5d0\ub3c4 \ubd88\uad6c\ud558\uace0 \uac00\uc7a5 \ub9ce\uc774 \uc4f0\uc774\ub294 \ubc29\ubc95\uc774\uace0, \uacb0\uacfc\uac00 \uac00\uc7a5 \uc88b\ub2e4.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\ud15c\ud50c\ub9bf\ub9e4\uce6d \uc608\uc81c\ucf54\ub4dc (\uc5bc\uad74 \ucc3e\uae30)<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n
    val image by remember {\n        mutableStateOf(\n            Utils.loadResource(context, R.drawable.messi)\n                .also { Imgproc.cvtColor(it, it, Imgproc.COLOR_BGR2RGB) })\n    }\n\n    val templateImage by remember {\n        mutableStateOf(\n            Utils.loadResource(context, R.drawable.messi_face)\n                .also { Imgproc.cvtColor(it, it, Imgproc.COLOR_BGR2RGB) })\n    }\n    val result = Mat()\n    Imgproc.matchTemplate(image, templateImage, result, Imgproc.TM_CCOEFF_NORMED)\n\n    val normResult = Mat()\n    Core.normalize(result, normResult, 0.0, 255.0, Core.NORM_MINMAX, CvType.CV_8U)\n\n    val minMaxLocResult = Core.minMaxLoc(normResult)\n\n    val pt1 = minMaxLocResult.maxLoc\n    val pt2 = Point(pt1.x + templateImage.width(),pt1.y + templateImage.height())\n    val finalImage = Mat().also { Core.copyTo(image, it, Mat()) }\n    Imgproc.rectangle(finalImage, pt1, pt2, RED, 5)\n<\/code><\/pre>\n\n\n\n
\ub2e4\uc911 \uac1d\uccb4 \ucc3e\uae30<\/h2>\n\n\n\n
<\/p>\n\n\n\n
\"\"
\ub9c8\ub9ac\uc624 \uac8c\uc784 \ud654\uba74<\/figcaption><\/figure>\n\n\n\n
\"\"
\uac8c\uc784\uc18d \ucf54\uc778(\ud15c\ud50c\ub9bf \uc774\ubbf8\uc9c0)<\/figcaption><\/figure>\n\n\n\n
\uc774\ubc88\uc5d0\ub294 \ub9c8\ub9ac\uc624 \uac8c\uc784\ud654\uba74\uc5d0\uc11c \ucf54\uc778\uc758 \uc704\uce58\ub97c \ucc3e\uc544\ubcf4\uc790.<\/p>\n\n\n\n
    val image by remember {\n        mutableStateOf(\n            Utils.loadResource(context, R.drawable.mario)\n                .also { Imgproc.cvtColor(it, it, Imgproc.COLOR_BGR2RGB) })\n    }\n\n    val templateImage by remember {\n        mutableStateOf(\n            Utils.loadResource(context, R.drawable.mario_coin)\n                .also { Imgproc.cvtColor(it, it, Imgproc.COLOR_BGR2RGB) })\n    }\n    val result = Mat()\n    Imgproc.matchTemplate(image, templateImage, result, Imgproc.TM_CCOEFF_NORMED)\n\n    Imgproc.threshold(result, result, 0.8, 1.0, Imgproc.THRESH_BINARY)\n    val normResult = Mat()\n    Core.normalize(result, normResult, 0.0, 255.0, Core.NORM_MINMAX, CvType.CV_8U)\n\n    val finalImage = Mat().also { Core.copyTo(image, it, Mat()) }\n\n    val contours = ArrayList<MatOfPoint>()\n    Imgproc.findContours(\n        normResult,\n        contours,\n        Mat(),\n        Imgproc.RETR_EXTERNAL,\n        Imgproc.CHAIN_APPROX_SIMPLE\n    )\n    for (i in 0 until contours.size) {\n        val contour = contours[i]\n        val contourArea = Imgproc.contourArea(contour)\n        if (contourArea > 100) continue\n\n        val contour2f = MatOfPoint2f(*contours[i].toArray())\n        val pt1 = Point(contour2f.get(0, 0)[0], contour2f.get(0, 0)[1])\n        val pt2 = Point(\n            pt1.x + templateImage.width(),\n            pt1.y + templateImage.height()\n        )\n        Imgproc.rectangle(finalImage, pt1, pt2, RED, 5)\n    }<\/code><\/pre>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
\ud15c\ud50c\ub9bf \ub9e4\uce6d \uc774\ubc88 \ud3ec\uc2a4\ud305\uc5d0\uc11c\ub294 \ud15c\ud50c\ub9bf \ub9e4\uce6d\uc744 \ud1b5\ud55c \uc774\ubbf8\uc9c0\ub0b4 \uac1d\uccb4\ub4e4\uc744 \ucc3e\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8ec\ub2e4. \ud15c\ud50c\ub9bf \ub9e4\uce6d\uc740 \ud070 \uc774\ubbf8\uc9c0\ub0b4\uc5d0\uc11c \ud15c\ud50c\ub9bf \uc774\ubbf8\uc9c0\uc758 \uc704\uce58\ub97c \ucc3e\ub294 \ubc29\ubc95\uc744 \ub9d0\ud55c\ub2e4. OpenCV\uc5d0\uc11c\ub294 \uc774\ub97c \uc704\ud574 matchTemplate()\uc774\ub77c\ub294 \ud568\uc218\ub97c \uc81c\uacf5\ud558\uace0 \uc788\ub2e4. \ud15c\ud50c\ub9bf \ub9e4\uce6d\uc758 \uc6d0\ub9ac\ub294 \uc5b4\ub835\uc9c0 \uc54a\ub2e4. \ub2e8\uc21c\ud788 \ud15c\ud50c\ub9bf \uc774\ubbf8\uc9c0\ub97c \uc6d0\ubcf8 \uc774\ubbf8\uc9c0\uc0c1\uc5d0\uc11c \uc870\uae08\uc529 \uc62e\uae30\uace0 \ud53d\uc140\ub4e4\uc744 \ube44\uad50\ud558\uc5ec \uc5bc\ub9c8\ub098 \uc77c\uce58\ud558\ub294\uc9c0\ub97c \ud655\uc778\ud558\ub294 \uc791\uc5c5\uc774\ub2e4. OpenCV\uc5d0\uc11c\ub294 \uc774\ub7f0 \ud0d0\uc0c9\uc744 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[27],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/posts\/46097"}],"collection":[{"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/charlezz.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=46097"}],"version-history":[{"count":2,"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/posts\/46097\/revisions"}],"predecessor-version":[{"id":46341,"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/posts\/46097\/revisions\/46341"}],"wp:attachment":[{"href":"https:\/\/charlezz.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=46097"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/charlezz.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=46097"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/charlezz.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=46097"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}