{"id":6583,"date":"2019-04-03T12:53:45","date_gmt":"2019-04-03T03:53:45","guid":{"rendered":"http:\/\/www.gisdeveloper.co.kr\/?p=6583"},"modified":"2020-05-28T12:30:26","modified_gmt":"2020-05-28T03:30:26","slug":"python%ea%b3%bc-opencv-16-%ec%9d%b4%eb%af%b8%ec%a7%80%ec%9d%98-%eb%93%b1%ec%b9%98%ec%84%a0contours-3-5","status":"publish","type":"post","link":"http:\/\/www.gisdeveloper.co.kr\/?p=6583","title":{"rendered":"Python\uacfc OpenCV \u2013 17 : \uc774\ubbf8\uc9c0\uc758 \ub4f1\uce58\uc120(Contours) \u2013 3\/5"},"content":{"rendered":"<p>\uc774 \uae00\uc758 \uc6d0\ubb38\uc740 https:\/\/opencv-python-tutroals.readthedocs.io\/en\/latest\/py_tutorials\/py_imgproc\/py_contours\/py_contour_properties\/py_contour_properties.html#contour-properties \uc785\ub2c8\ub2e4.<\/p>\n<p>Contour(\ub4f1\uce58\uc120)\uc5d0 \ub300\ud574 \uc790\uc8fc \uc0ac\uc6a9\ub418\ub294 \uba87\uac00\uc9c0 \uc18d\uc131\uc5d0 \ub300\ud574 \uc880\ub354 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uadf8 \uc18d\uc131\uc5d0\ub294  Solidity, Equivalent Diameter, Mask image, Mean Intensity \ub4f1\uc785\ub2c8\ub2e4.<\/p>\n<p>\uba3c\uc800 Aspect Ratio\uc778\ub370, \uac1d\uccb4(Contour\ub97c \ud45c\ud604\ub418\ub294 \uac83)\uc5d0 \ub300\ud55c \uacbd\uacc4\uc0c1\uc790\uc758 \ub192\uc774\uc640 \ub108\ube44\uc5d0 \ub300\ud55c \ube44\uc728\uc774\uba70 \uc544\ub798\uc640 \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/04\/opencv_prop1.png\" alt=\"\" width=\"185\" height=\"42\" class=\"aligncenter size-full wp-image-6584\" \/><\/p>\n<p>OpenCV\uc5d0\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ucf54\ub4dc\ub97c \ud1b5\ud574 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">\r\nx,y,w,h = cv2.boundingRect(cnt)\r\naspect_ratio = float(w)\/h\r\n<\/pre>\n<p>\ub2e4\uc74c\uc740 Extent\uc785\ub2c8\ub2e4. \uc774 \uc18d\uc131\uc740 \uacbd\uacc4\uc0c1\uc790\uc758 \ub113\uc774\uc5d0 \ub300\ud55c \uac1d\uccb4\uc758 \uc2e4\uc81c \ub113\uc774\uc758 \ube44\uc728\uc785\ub2c8\ub2e4.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/04\/opencv_prop2.png\" alt=\"\" width=\"291\" height=\"42\" class=\"aligncenter size-full wp-image-6586\" \/><\/p>\n<p>\ucf54\ub4dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">\r\narea = cv2.contourArea(cnt)\r\nx,y,w,h = cv2.boundingRect(cnt)\r\nrect_area = w*h\r\nextent = float(area)\/rect_area\r\n<\/pre>\n<p>\ub2e4\uc74c\uc740 Equivalent Diameter\uc785\ub2c8\ub2e4. \uc774 \uc18d\uc131\uc740 \uac1d\uccb4\uc758 \uc2e4\uc81c \uba74\uc801\uc640 \ub3d9\uc77c\ud55c \uba74\uc801\uc744 \uac16\ub294 \uc6d0\uc758 \uc9c0\ub984\uc785\ub2c8\ub2e4.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/04\/opencv_prop3.png\" alt=\"\" width=\"361\" height=\"45\" class=\"aligncenter size-full wp-image-6588\" \/><\/p>\n<p>\ucf54\ub4dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">\r\narea = cv2.contourArea(cnt)\r\nequi_diameter = np.sqrt(4*area\/np.pi)\r\n<\/pre>\n<p>\ub2e4\uc74c\uc740 Solidity\uc785\ub2c8\ub2e4. \uc774 \uac12\uc740 \uac1d\uccb4\uc758 \ubcfc\ub85d\uaecd\uc9c8 \uba74\uc801\uc5d0 \ub300\ud55c \uac1d\uccb4\uc758 \uba74\uc801 \ube44\uc728\uc785\ub2c8\ub2e4.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/04\/opencv_prop4.png\" alt=\"\" width=\"239\" height=\"37\" class=\"aligncenter size-full wp-image-6589\" \/><\/p>\n<p>\ucf54\ub4dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">\r\narea = cv2.contourArea(cnt)\r\nhull = cv2.convexHull(cnt)\r\nhull_area = cv2.contourArea(hull)\r\nsolidity = float(area)\/hull_area\r\n<\/pre>\n<p>\ub2e4\uc74c\uc740 Orientation\uc785\ub2c8\ub2e4. \uc774 \uc18d\uc131\uc740 \uac1d\uccb4\uac00 \ub193\uc5ec\uc9c4 \ubc29\ud5a5\uc5d0 \ub300\ud55c \uac01\ub3c4\uc778\ub370, \ub2e4\uc74c \uc2dd\uc740 \uc8fc\ucd95\uacfc \ubcf4\uc870\ucd95\uc73c\ub85c\uc368 \ud45c\ud604\ud55c \ucf54\ub4dc \uc608\ub85c angle \ubcc0\uc218\uac12\uc774 \uac01\ub3c4\uc785\ub2c8\ub2e4.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">\r\n(x,y),(MA,ma),angle = cv2.fitEllipse(cnt)\r\n<\/pre>\n<p>\ub2e4\uc74c\uc740 Mask\uacfc Pixel Points\uc785\ub2c8\ub2e4. \uc5b4\ub5a4 \uacbd\uc6b0\uc5d0 \uac1d\uccb4\ub97c \uad6c\uc131\ud558\ub294 \ubaa8\ub4e0 \ud3ec\uc778\ud2b8\uac00 \ud544\uc694\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574 \ub2e4\uc74c \ucf54\ub4dc\uac00 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">\r\nmask = np.zeros(imgray.shape,np.uint8)\r\ncv2.drawContours(mask,[cnt],0,255,-1)\r\npixelpoints1 = np.transpose(np.nonzero(mask))\r\npixelpoints2 = cv2.findNonZero(mask)\r\n<\/pre>\n<p>pixelpoints1\uc640 pixelpoints2\ub294 \ub3d9\uc77c\ud55c \uacb0\uacfc\uc778\ub370, \uac01\uac01 Numpy\uc640 OpenCV\ub97c \uc0ac\uc6a9\ud55c \ubc29\uc2dd\uc785\ub2c8\ub2e4.<\/p>\n<p>\ub2e4\uc74c\uc740 \ucd5c\ub300\uac12, \ucd5c\uc18c\uac12\uacfc \uc704\uce58\uac12\uc785\ub2c8\ub2e4. \uc774 \uac12\ub4e4\uc740 \ub9c8\uc2a4\ud06c \uc774\ubbf8\uc9c0\ub97c \uc0ac\uc6a9\ud574 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">\r\nmask = np.zeros(imgray.shape,np.uint8)\r\ncv2.drawContours(mask,[cnt],0,255,-1)\r\n\r\nmin_val, max_val, min_loc, max_loc = cv2.minMaxLoc(imgray,mask = mask)\r\n<\/pre>\n<p>\uc704\uc758 1,2\ubc88 \ucf54\ub4dc\ub294 \ub9c8\uc2a4\ud06c \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc774 \ub9c8\uc2a4\ud06c \uc774\ubbf8\uc9c0\ub294 \ucd5c\ub300, \ucd5c\uc18c\uac12\uacfc \uc774 \uac12\ub4e4\uc758 \uc704\uce58\uac00 \uc5b4\ub514\uc778\uc9c0\uc5d0 \ub300\ud55c \ubc94\uc704\ub97c \uc81c\ud55c\ud558\ub294\ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. mask \uc774\ubbf8\uc9c0\uc758 \uc801\uc6a9\uc740 \uc635\uc158\uc785\ub2c8\ub2e4.<\/p>\n<p>\ub2e4\uc74c\uc740 \ud3c9\uade0 \uc0c9\uc0c1\uacfc \ud3c9\uade0 \uac15\ub3c4\uc785\ub2c8\ub2e4. \ub9c8\uc2a4\ud06c \uc774\ubbf8\uc9c0\ub97c \uc801\uc6a9\ud574 \ud574\ub2f9 \ub9c8\uc2a4\ud06c \uc774\ubbf8\uc9c0 \ubc94\uc704\uc5d0 \uc874\uc7ac\ud558\ub294 \ud53d\uc140\ub4e4\uc758 \ud3c9\uade0\uc0c9\uc0c1 \ub610\ub294 \ud3c9\uade0\uac15\ub3c4 \uac12\uc744 \uc5bb\ub294 \ucf54\ub4dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">\r\nmean_val = cv2.mean(im,mask = mask)\r\n<\/pre>\n<p>\ub05d\uc73c\ub85c Extreme Points\uc785\ub2c8\ub2e4. \uc774 \uc18d\uc131\uc740 \uac1d\uccb4\uc758 \ucd5c\uc0c1\ub2e8, \ucd5c\ud558\ub2e8, \uc88c\uce21\ub05d\ub2e8, \uc6b0\uce21\ub05d\ub2e8\uc758 \ud3ec\uc778\ud2b8\ub97c \uc758\ubbf8\ud558\ub294\ub370, \uba3c\uc800 \ucf54\ub4dc\ub97c \ubcf4\uba74..<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">\r\nimport numpy as np\r\nimport cv2\r\n \r\nimg = cv2.imread('.\/data\/thunder.png')\r\nimgray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\r\nret,thresh = cv2.threshold(imgray,127,255,0)\r\nimage, contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)\r\n \r\ncnt = contours[0]\r\n \r\nleftmost = tuple(cnt[cnt[:,:,0].argmin()][0])\r\nrightmost = tuple(cnt[cnt[:,:,0].argmax()][0])\r\ntopmost = tuple(cnt[cnt[:,:,1].argmin()][0])\r\nbottommost = tuple(cnt[cnt[:,:,1].argmax()][0])\r\n\r\ncv2.circle(img, leftmost, 10, (0,0,255), -1)\r\ncv2.circle(img, rightmost, 10, (0,0,255), -1)\r\ncv2.circle(img, topmost, 10, (0,0,255), -1)\r\ncv2.circle(img, bottommost, 5, (0,255,255), -1)\r\n\r\ncv2.imshow('img', img)\r\ncv2.waitKey()\r\ncv2.destroyAllWindows()\r\n<\/pre>\n<p>\uc704\uc758 \ucf54\ub4dc \uc911 11-14\ubc88\uacfc 16-19\ubc88\uc774 \ucd5c\uc0c1\ub2e8, \ucd5c\ud558\ub2e8, \uc88c\uce21\ub05d\ub2e8, \uc6b0\uce21\ub05d\ub2e8\uc758 \ud3ec\uc778\ud2b8\ub97c \uc5bb\uace0 \uadf8\ub824\uc8fc\ub294 \ucf54\ub4dc\uc785\ub2c8\ub2e4. \uacb0\uacfc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/04\/opencv_prop5.png\" alt=\"\" width=\"629\" height=\"660\" class=\"aligncenter size-full wp-image-6592\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc774 \uae00\uc758 \uc6d0\ubb38\uc740 https:\/\/opencv-python-tutroals.readthedocs.io\/en\/latest\/py_tutorials\/py_imgproc\/py_contours\/py_contour_properties\/py_contour_properties.html#contour-properties \uc785\ub2c8\ub2e4. Contour(\ub4f1\uce58\uc120)\uc5d0 \ub300\ud574 \uc790\uc8fc \uc0ac\uc6a9\ub418\ub294 \uba87\uac00\uc9c0 \uc18d\uc131\uc5d0 \ub300\ud574 \uc880\ub354 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uadf8 \uc18d\uc131\uc5d0\ub294 Solidity, Equivalent Diameter, Mask image, Mean Intensity \ub4f1\uc785\ub2c8\ub2e4. \uba3c\uc800 Aspect Ratio\uc778\ub370, \uac1d\uccb4(Contour\ub97c \ud45c\ud604\ub418\ub294 \uac83)\uc5d0 \ub300\ud55c \uacbd\uacc4\uc0c1\uc790\uc758 \ub192\uc774\uc640 \ub108\ube44\uc5d0 \ub300\ud55c \ube44\uc728\uc774\uba70 \uc544\ub798\uc640 \uac19\uc2b5\ub2c8\ub2e4. OpenCV\uc5d0\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ucf54\ub4dc\ub97c \ud1b5\ud574 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. x,y,w,h = cv2.boundingRect(cnt) aspect_ratio = float(w)\/h \ub2e4\uc74c\uc740 Extent\uc785\ub2c8\ub2e4. \uc774 &hellip; <\/p>\n<p class=\"link-more\"><a href=\"http:\/\/www.gisdeveloper.co.kr\/?p=6583\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;Python\uacfc OpenCV \u2013 17 : \uc774\ubbf8\uc9c0\uc758 \ub4f1\uce58\uc120(Contours) \u2013 3\/5&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[130,131],"tags":[],"class_list":["post-6583","post","type-post","status-publish","format-standard","hentry","category-opencv","category-python"],"_links":{"self":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/6583","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6583"}],"version-history":[{"count":8,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/6583\/revisions"}],"predecessor-version":[{"id":9468,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/6583\/revisions\/9468"}],"wp:attachment":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6583"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6583"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6583"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}