{"id":38732,"date":"2024-11-02T00:56:39","date_gmt":"2024-11-02T00:56:39","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38732"},"modified":"2024-11-26T06:43:30","modified_gmt":"2024-11-26T06:43:30","slug":"opencv-%ea%b0%95%ec%a2%8c-%eb%aa%a8%ec%96%91%ec%9d%98-%eb%a9%b4%ec%a0%81-%eb%91%98%eb%a0%88-%ea%b8%b8%ec%9d%b4-%eb%93%b1-%ea%b8%b0%eb%b3%b8-%eb%b6%84%ec%84%9d","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38732\/","title":{"rendered":"OpenCV \uac15\uc88c, \ubaa8\uc591\uc758 \uba74\uc801, \ub458\ub808 \uae38\uc774 \ub4f1 \uae30\ubcf8 \ubd84\uc11d"},"content":{"rendered":"

<\/p>\n

\n
\n

OpenCV(\uc624\ud508\uc18c\uc2a4 \ucef4\ud4e8\ud130 \ube44\uc804 \ub77c\uc774\ube0c\ub7ec\ub9ac)\ub294 \uc774\ubbf8\uc9c0\uc640 \ube44\ub514\uc624\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \uc720\uc6a9\ud55c \ub2e4\uc591\ud55c \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uc774\ubbf8\uc9c0\uc5d0\uc11c \ubaa8\uc591\uc758 \uba74\uc801\uacfc \ub458\ub808 \uae38\uc774\ub97c \uce21\uc815\ud558\ub294 \uae30\ubcf8\uc801\uc778 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\ub294 Python\uc744 \uae30\ubc18\uc73c\ub85c \ud558\uba70, \ub2e4\uc591\ud55c \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\uc5d0\uc11c\uc758 \uc801\uc6a9 \uac00\ub2a5\uc131\uc744 \uace0\ub824\ud558\uc600\uc2b5\ub2c8\ub2e4.<\/p>\n<\/header>\n

\n

1. OpenCV \uc18c\uac1c<\/h2>\n

OpenCV\ub294 2000\ub144\ub300 \ucd08\ubc18\uc5d0 \uac1c\ubc1c\ub41c \uc624\ud508\uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \ucef4\ud4e8\ud130 \ube44\uc804 \ubc0f \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc5d0 \ud544\uc694\ud55c \ub2e4\uc591\ud55c \uc54c\uace0\ub9ac\uc998\uc744 \ud3ec\ud568\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc758 \uccab \ubc88\uc9f8 \ubaa9\ud45c\ub294 \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc758 \uae30\ucd08\ub97c \uc774\ud574\ud558\uace0, \uc774\ub97c \ubc14\ud0d5\uc73c\ub85c \ubaa8\uc591 \ubd84\uc11d\uc744 \uc218\ud589\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. OpenCV\ub294 C++, Python, Java \ub4f1 \uc5ec\ub7ec \uc5b8\uc5b4\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/section>\n

\n

2. \ud658\uacbd \uc124\uc815<\/h2>\n

\uba3c\uc800 OpenCV\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. Python \ud658\uacbd\uc5d0\uc11c OpenCV\ub97c \uc124\uce58\ud558\ub824\uba74 pip\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc74c \uba85\ub839\uc5b4\ub97c \uc2e4\ud589\ud569\ub2c8\ub2e4:<\/p>\n

pip install opencv-python<\/code><\/pre>\n
\ucd94\uac00\uc801\uc73c\ub85c NumPy\ub3c4 \uc124\uce58\ud574\uc57c \ud558\ubbc0\ub85c \uc544\ub798\uc758 \uba85\ub839\uc5b4\ub97c \uc2e4\ud589\ud569\ub2c8\ub2e4:<\/p>\n
pip install numpy<\/code><\/pre>\n<\/section>\n
\n
3. \uc774\ubbf8\uc9c0 \uc77d\uae30 \ubc0f \uc804\ucc98\ub9ac<\/h2>\n
\uc774\uc81c \uc774\ubbf8\uc9c0\ub97c \uc77d\uace0 \uc804\ucc98\ub9ac\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub294 \uc774\ubbf8\uc9c0\ub97c \uc77d\uace0 \uadf8\ub808\uc774\uc2a4\ucf00\uc77c\ub85c \ubcc0\ud658\ud558\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4:<\/p>\n
import cv2\n\n# \uc774\ubbf8\uc9c0 \uc77d\uae30\nimage = cv2.imread('image.jpg')  # 'image.jpg'\ub97c \uc77d\uc5b4\uc635\ub2c8\ub2e4.\ngray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)  # \uadf8\ub808\uc774\uc2a4\ucf00\uc77c\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4.\n\n# \uacb0\uacfc \ucd9c\ub825\ncv2.imshow('Grayscale Image', gray)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n
\uc704\uc758 \ucf54\ub4dc\uc5d0\uc11c OpenCV\uc758 imread() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \uc77d\uace0, cvtColor() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uadf8\ub808\uc774\uc2a4\ucf00\uc77c\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4. \ubcc0\ud658\ub41c \uc774\ubbf8\uc9c0\ub294 imshow() \ud568\uc218\ub85c \ud654\uba74\uc5d0 \ucd9c\ub825\ub429\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
4. \ubaa8\uc591 \ud0d0\uc9c0<\/h2>\n
\ubaa8\uc591 \ud0d0\uc9c0\ub97c \uc704\ud574 \uc77c\ubc18\uc801\uc73c\ub85c \uc784\uacc4\uac12(thresholding)\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\uc9c4 \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub294 Otsu\uc758 \uc784\uacc4\uac12 \ubc29\ubc95\uc744 \uc774\uc6a9\ud55c \uc608\uc81c\uc785\ub2c8\ub2e4:<\/p>\n
# \uc774\uc9c4\ud654\n_, thresholded = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)\n\n# \uacb0\uacfc \ucd9c\ub825\ncv2.imshow('Thresholded Image', thresholded)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n
\uc704 \ucf54\ub4dc\ub294 Otsu\uc758 \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \uadf8\ub808\uc774\uc2a4\ucf00\uc77c \uc774\ubbf8\uc9c0\ub97c \uc774\uc9c4\ud654\ud569\ub2c8\ub2e4. \uc774\uc9c4\ud654\ub41c \uc774\ubbf8\uc9c0\ub294 cv2.imshow() \ud568\uc218\ub85c \ucd9c\ub825\ub429\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
5. \uc724\uacfd\uc120 \ucc3e\uae30<\/h2>\n
\uc774\uc9c4\ud654\ub41c \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc724\uacfd\uc120\uc744 \ucc3e\uae30 \uc704\ud574 findContours() \ud568\uc218\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc544\ub798 \ucf54\ub4dc\ub294 \uc724\uacfd\uc120\uc744 \ud0d0\uc9c0\ud558\uace0 \uadf8 \uacb0\uacfc\ub97c \ud654\uba74\uc5d0 \ucd9c\ub825\ud558\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4:<\/p>\n
# \uc724\uacfd\uc120 \ucc3e\uae30\ncontours, _ = cv2.findContours(thresholded, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n\n# \uc724\uacfd\uc120 \uadf8\ub9ac\uae30\ncv2.drawContours(image, contours, -1, (0, 255, 0), 2)\n\n# \uacb0\uacfc \ucd9c\ub825\ncv2.imshow('Contours', image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n
\uc704 \ucf54\ub4dc\uc5d0\uc11c findContours() \ud568\uc218\ub294 \uc724\uacfd\uc120\uc744 \ud0d0\uc9c0\ud558\uace0, drawContours() \ud568\uc218\ub294 \uc6d0\ubcf8 \uc774\ubbf8\uc9c0\uc5d0 \uc724\uacfd\uc120\uc744 \uadf8\ub9bd\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
6. \uba74\uc801\uacfc \ub458\ub808 \uae38\uc774 \uacc4\uc0b0<\/h2>\n
\ud0d0\uc9c0\ub41c \uac01 \uc724\uacfd\uc120\uc5d0 \ub300\ud574 \uba74\uc801 \ubc0f \ub458\ub808 \uae38\uc774\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub294 \uac01 \uc724\uacfd\uc120\uc758 \uba74\uc801\uacfc \ub458\ub808 \uae38\uc774\ub97c \ucd9c\ub825\ud558\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4:<\/p>\n
for i, contour in enumerate(contours):\n    area = cv2.contourArea(contour)  # \uba74\uc801 \uacc4\uc0b0\n    perimeter = cv2.arcLength(contour, True)  # \ub458\ub808 \uae38\uc774 \uacc4\uc0b0\n    \n    print(f'Contour {i + 1}: Area = {area}, Perimeter = {perimeter}')  # \uacb0\uacfc \ucd9c\ub825<\/code><\/pre>\n
\uc704 \ucf54\ub4dc\ub294 \uac01\uac01\uc758 \uc724\uacfd\uc120\uc5d0 \ub300\ud574 \uba74\uc801\uacfc \ub458\ub808 \uae38\uc774\ub97c \uacc4\uc0b0\ud558\uc5ec \ucd9c\ub825\ud569\ub2c8\ub2e4. contourArea() \ud568\uc218\ub294 \uc724\uacfd\uc120\uc758 \uba74\uc801\uc744 \uacc4\uc0b0\ud558\uace0, arcLength() \ud568\uc218\ub294 \ub458\ub808 \uae38\uc774\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
7. \uacb0\uacfc \uc815\ub9ac<\/h2>\n
\uc704\uc5d0\uc11c \uc124\uba85\ud55c \ub0b4\uc6a9\uc744 \ud1b5\ud574 OpenCV\ub97c \uc0ac\uc6a9\ud55c \uae30\ubcf8\uc801\uc778 \uc774\ubbf8\uc9c0 \ubd84\uc11d\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uba74\uc801\uacfc \ub458\ub808 \uae38\uc774\ub294 \ubaa8\uc591 \ubd84\uc11d\uc5d0\uc11c \uc911\uc694\ud55c \uc9c0\ud45c\uac00 \ub429\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uc804\uccb4 \ucf54\ub4dc\ub97c \uc694\uc57d\ud55c \uac83\uc785\ub2c8\ub2e4:<\/p>\n
import cv2\n\n# \uc774\ubbf8\uc9c0 \uc77d\uae30 \ubc0f \uc804\ucc98\ub9ac\nimage = cv2.imread('image.jpg')\ngray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n\n# \uc774\uc9c4\ud654\n_, thresholded = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)\n\n# \uc724\uacfd\uc120 \ucc3e\uae30\ncontours, _ = cv2.findContours(thresholded, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\ncv2.drawContours(image, contours, -1, (0, 255, 0), 2)\n\n# \uba74\uc801\uacfc \ub458\ub808 \uae38\uc774 \uacc4\uc0b0\nfor i, contour in enumerate(contours):\n    area = cv2.contourArea(contour)\n    perimeter = cv2.arcLength(contour, True)\n    print(f'Contour {i + 1}: Area = {area}, Perimeter = {perimeter}')\n\n# \uacb0\uacfc \ucd9c\ub825\ncv2.imshow('Contours', image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n<\/section>\n
\n
8. \uacb0\ub860<\/h2>\n
\ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\uc5d0\uc11c \ubaa8\uc591\uc758 \uba74\uc801\uacfc \ub458\ub808 \uae38\uc774\ub97c \uacc4\uc0b0\ud558\ub294 \uae30\ubcf8\uc801\uc778 \ubc29\ubc95\uc744 \uc124\uba85\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uae30\ubc95\uc740 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uc801\uc6a9\ub420 \uc218 \uc788\uc73c\uba70, \ud2b9\ud788 \ucef4\ud4e8\ud130 \ube44\uc804, \uc774\ubbf8\uc9c0 \ubd84\uc11d \ubc0f \uc790\uc728\uc8fc\ud589\ucc28 \ub4f1\uc758 \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \ud5a5\ud6c4\uc5d0\ub294 \ub354\uc6b1 \ubcf5\uc7a1\ud55c \uc774\ubbf8\uc9c0 \ucc98\ub9ac \uae30\uc220\ub4e4, \uc608\ub97c \ub4e4\uc5b4 \ubaa8\uc591 \uc2dd\ubcc4 \ubc0f \ud328\ud134 \uc778\uc2dd\uc5d0 \ub300\ud574\uc11c\ub3c4 \ub2e4\ub8f0 \uc608\uc815\uc785\ub2c8\ub2e4. \uacc4\uc18d\ud574\uc11c OpenCV\uc758 \uae30\ub2a5\uc744 \uc775\ud600\ub098\uac00\uc2dc\uae38 \ubc14\ub78d\ub2c8\ub2e4!<\/p>\n<\/section>\n