{"id":38720,"date":"2024-11-02T00:56:31","date_gmt":"2024-11-02T00:56:31","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38720"},"modified":"2024-11-26T06:43:32","modified_gmt":"2024-11-26T06:43:32","slug":"opencv-%ea%b0%95%ec%a2%8c-%ec%83%89%ec%83%81-%ea%b8%b0%eb%b0%98-%eb%b6%84%eb%a6%ac%ec%99%80-k-means-%ed%99%9c%ec%9a%a9","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38720\/","title":{"rendered":"OpenCV \uac15\uc88c, \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\uc640 K-Means \ud65c\uc6a9"},"content":{"rendered":"

<\/p>\n

\n OpenCV(Open Source Computer Vision Library)\ub294 \ucef4\ud4e8\ud130 \ube44\uc804\uacfc \uc774\ubbf8\uc9c0 \ucc98\ub9ac\ub97c \uc704\ud55c \uc624\ud508\uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \ub2e4\uc591\ud55c \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\uc640 K-Means \ud074\ub7ec\uc2a4\ud130\ub9c1 \uae30\ubc95\uc744 \ud65c\uc6a9\ud558\uc5ec \uc0c9\uc0c1\uc744 \ucd94\ucd9c\ud558\uace0 \ubd84\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n

1. \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\ub780?<\/h2>\n

\n \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\ub294 \uc774\ubbf8\uc9c0 \ub0b4\uc5d0\uc11c \ud2b9\uc815 \uc0c9\uc0c1\uc744 \ucd94\ucd9c\ud558\uace0 \ud574\ub2f9 \uc601\uc5ed\uc744 \ubd84\ub9ac\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774 \uae30\uc220\uc740 \uac1d\uccb4 \uc778\uc2dd, \uc774\ubbf8\uc9c0 \ubd84\uc11d, \ucef4\ud4e8\ud130 \ube44\uc804 \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud65c\uc6a9\ub429\ub2c8\ub2e4. \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\ub294 \uc77c\ubc18\uc801\uc73c\ub85c RGB, HSV, LAB \ub4f1\uc758 \uc0c9\uc0c1 \uacf5\uac04\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc218\ud589\ub429\ub2c8\ub2e4.\n <\/p>\n

2. \uc0c9\uc0c1 \uacf5\uac04<\/h2>\n

\n \uc0c9\uc0c1\uc744 \ud45c\ud604\ud558\ub294 \ubc29\ubc95\uc740 \uc5ec\ub7ec \uac00\uc9c0\uac00 \uc788\uc73c\uba70, \uadf8 \uc911\uc5d0\uc11c \uac00\uc7a5 \ub9ce\uc774 \uc0ac\uc6a9\ub418\ub294 \uc0c9\uc0c1 \uacf5\uac04\uc740 RGB\uc640 HSV\uc785\ub2c8\ub2e4.\n <\/p>\n

2.1 RGB \uc0c9\uc0c1 \uacf5\uac04<\/h3>\n

\n RGB \uc0c9\uc0c1 \uacf5\uac04\uc740 \ube68\uac15(Red), \ucd08\ub85d(Green), \ud30c\ub791(Blue) \uc138 \uac00\uc9c0 \uc0c9\uc0c1\uc758 \uc870\ud569\uc73c\ub85c \uc0c9\uc0c1\uc744 \ud45c\ud604\ud569\ub2c8\ub2e4. RGB \uc0c9\uc0c1 \uacf5\uac04 \ub0b4\uc5d0\uc11c \uc0c9\uc0c1\uc744 \uc870\uc808\ud558\ub294 \uac83\uc740 \uc9c1\uad00\uc801\uc774\uc9c0 \uc54a\uc744 \uc218 \uc788\uc5b4 \ud2b9\ud788 \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\uc5d0\ub294 \uc81c\ud55c\uc801\uc785\ub2c8\ub2e4.\n <\/p>\n

2.2 HSV \uc0c9\uc0c1 \uacf5\uac04<\/h3>\n

\n HSV \uc0c9\uc0c1 \uacf5\uac04\uc740 \uc0c9\uc0c1(Hue), \ucc44\ub3c4(Saturation), \uba85\ub3c4(Value) \uc138 \uac00\uc9c0 \uc694\uc18c\ub85c \uc0c9\uc0c1\uc744 \ud45c\ud604\ud569\ub2c8\ub2e4. \uc774 \ubc29\uc2dd\uc740 \uc0c9\uc0c1 \uc870\uc815\uc744 \ub354 \uc9c1\uad00\uc801\uc73c\ub85c \ub9cc\ub4e4\uc5b4 \uc8fc\uc5b4 \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\uc5d0 \ub354 \uc801\ud569\ud569\ub2c8\ub2e4. Hue\ub294 \uc0c9\uc0c1\uc758 \uc885\ub958\ub97c \ub098\ud0c0\ub0b4\uace0, Saturation\uc740 \uc0c9\uc0c1\uc758 \uac15\ub3c4\ub97c, Value\ub294 \uc0c9\uc0c1\uc758 \ubc1d\uae30\ub97c \ud45c\ud604\ud569\ub2c8\ub2e4.\n <\/p>\n

3. K-Means \ud074\ub7ec\uc2a4\ud130\ub9c1<\/h2>\n

\n K-Means \ud074\ub7ec\uc2a4\ud130\ub9c1\uc740 \ube44\uc9c0\ub3c4 \ud559\uc2b5 \uae30\ubc95 \uc911 \ud558\ub098\ub85c, \uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130\uac00 K\uac1c\uc758 \ud074\ub7ec\uc2a4\ud130\ub85c \ub098\ub204\uc5b4\uc9c0\ub3c4\ub85d \ud558\ub294 \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4. \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc5d0\uc11c\ub294 \ud53d\uc140 \uac12\uc744 \ud074\ub7ec\uc2a4\ud130\ub9c1\ud558\uc5ec \uc720\uc0ac\ud55c \uc0c9\uc0c1\uc744 \uac00\uc9c4 \ud53d\uc140\ub4e4\uc744 \uadf8\ub8f9\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n

3.1 K-Means \uc54c\uace0\ub9ac\uc998\uc758 \uc6d0\ub9ac<\/h3>\n
    \n
  1. \ucd08\uae30 \ud074\ub7ec\uc2a4\ud130 \uc911\uc2ec \uac12\uc744 \ubb34\uc791\uc704\ub85c \uc120\ud0dd\ud569\ub2c8\ub2e4.<\/li>\n
  2. \uac01 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\ub97c \uac00\uc7a5 \uac00\uae4c\uc6b4 \ud074\ub7ec\uc2a4\ud130 \uc911\uc2ec\uc73c\ub85c \ud560\ub2f9\ud569\ub2c8\ub2e4.<\/li>\n
  3. \ud074\ub7ec\uc2a4\ud130\uc758 \uc911\uc2ec\uc744 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uc758 \ud3c9\uade0\uc73c\ub85c \uc5c5\ub370\uc774\ud2b8\ud569\ub2c8\ub2e4.<\/li>\n
  4. \uc911\uc2ec \uac12\uc774 \ub354 \uc774\uc0c1 \ubcc0\ud654\ud558\uc9c0 \uc54a\uac70\ub098 \ucd5c\ub300 \ubc18\ubcf5 \ud69f\uc218\uc5d0 \ub3c4\ub2ec\ud560 \ub54c\uae4c\uc9c0 2~4 \ub2e8\uacc4\ub97c \ubc18\ubcf5\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n

    4. OpenCV\ub97c \uc0ac\uc6a9\ud55c \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\uc640 K-Means \uc801\uc6a9<\/h2>\n

    \n OpenCV\uc640 Python\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\uc640 K-Means \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc18c\uac1c\ud558\uaca0\uc2b5\ub2c8\ub2e4. \uc774\uc5d0\uc11c\ub294 OpenCV \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58\uc640 \uae30\ubcf8 \uc124\uc815, \uc2e4\uc81c \ucf54\ub4dc \uad6c\ud604\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4.\n <\/p>\n

    4.1 OpenCV \uc124\uce58<\/h3>\n

    \n OpenCV\ub294 pip\ub97c \ud1b5\ud574 \uc27d\uac8c \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798\uc758 \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc124\uce58\ud558\uc138\uc694.\n <\/p>\n

    pip install opencv-python<\/code><\/pre>\n
    4.2 \uae30\ubcf8 \uc774\ubbf8\uc9c0 \ubd88\ub7ec\uc624\uae30 \ubc0f \uae30\ubcf8 \uc804\ucc98\ub9ac<\/h3>\n
    \n        \uba3c\uc800, \uc6b0\ub9ac\uac00 \uc0ac\uc6a9\ud560 \uc774\ubbf8\uc9c0\ub97c \ubd88\ub7ec\uc640\uc57c \ud569\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574 OpenCV\uc758 imread \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \uc77d\uace0, \uc774\ubbf8\uc9c0\ub97c \ud45c\uc2dc\ud558\uae30 \uc704\ud574 imshow \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uac83\uc785\ub2c8\ub2e4.\n    <\/p>\n
    import cv2\nimport numpy as np\n\n# \uc774\ubbf8\uc9c0 \uc77d\uae30\nimage = cv2.imread('image.jpg')\n# \uc774\ubbf8\uc9c0 \ud45c\uc2dc\ncv2.imshow('Original Image', image)\n\n# \ud0a4 \uc785\ub825 \ub300\uae30\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n
    4.3 \uc0c9\uc0c1 \ubcc0\ud658: BGR\uc5d0\uc11c HSV\ub85c<\/h3>\n
    \n        OpenCV\ub294 \uc774\ubbf8\uc9c0\ub97c \uae30\ubcf8\uc801\uc73c\ub85c BGR \uc0c9\uc0c1 \uacf5\uac04\uc5d0\uc11c \ucc98\ub9ac\ud569\ub2c8\ub2e4. \ub530\ub77c\uc11c \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\ub97c \uc704\ud574\uc11c\ub294 \uc774\ubbf8\uc9c0\ub97c HSV \uc0c9\uc0c1 \uacf5\uac04\uc73c\ub85c \ubcc0\ud658\ud574\uc57c \ud569\ub2c8\ub2e4.\n    <\/p>\n
    # BGR\uc5d0\uc11c HSV\ub85c \ubcc0\ud658\nhsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)<\/code><\/pre>\n
    4.4 K-Means \ud074\ub7ec\uc2a4\ud130\ub9c1 \uc801\uc6a9\ud558\uae30<\/h3>\n
    \n        K-Means \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc801\uc6a9\ud558\uc5ec \uc0c9\uc0c1\uc744 \ubd84\ub9ac\ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub97c \ud1b5\ud574 \ub2e4\uc591\ud55c \uc0c9\uc0c1\uc73c\ub85c \ud074\ub7ec\uc2a4\ud130\ub9c1\ub41c \uc774\ubbf8\uc9c0\ub97c \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n    <\/p>\n
    # K-Means \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc704\ud55c \ub370\uc774\ud130 \ubcc0\ud658\npixel_values = hsv_image.reshape((-1, 3))\npixel_values = np.float32(pixel_values)\n\n# K-Means \ud074\ub7ec\uc2a4\ud130\ub9c1 \uc218\ud589\nk = 4  # \ud074\ub7ec\uc2a4\ud130 \uc218\ncriteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 100, 0.2)\n_, labels, centers = cv2.kmeans(pixel_values, k, None, criteria, 10, cv2.KMEANS_RANDOM_CENTERS)\n\n# \ud074\ub7ec\uc2a4\ud130 \uc911\uc2ec\uc744 \uc815\uc218\ub85c \ubcc0\ud658\ncenters = np.uint8(centers)\nsegmented_image = centers[labels.flatten()]\n\n# \uc774\ubbf8\uc9c0 \uc7ac\uad6c\uc131\nsegmented_image = segmented_image.reshape(hsv_image.shape)\ncv2.imshow('Segmented Image', segmented_image)\n\n# \uacb0\uacfc \uc774\ubbf8\uc9c0 \ud45c\uc2dc\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n
    5. \uc608\uc81c: \ud2b9\uc815 \uc0c9\uc0c1\ub9cc \ucd94\ucd9c\ud558\uae30<\/h2>\n
    \n        K-Means\uc744 \ud1b5\ud574 \ud074\ub7ec\uc2a4\ud130\ub9c1\ud55c \ud6c4, \ud2b9\uc815 \uc0c9\uc0c1\ub9cc\uc744 \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.\n    <\/p>\n
    5.1 \uc0c9\uc0c1 \ubc94\uc704 \uc815\uc758<\/h3>\n
    \n        \ud2b9\uc815 \uc0c9\uc0c1\uc744 \ucd94\ucd9c\ud558\ub824\uba74 HSV \uc0c9\uc0c1 \uacf5\uac04\uc5d0\uc11c \ud574\ub2f9 \uc0c9\uc0c1\uc758 \ubc94\uc704\ub97c \uc815\uc758\ud574\uc57c \ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ubd89\uc740\uc0c9\uc758 \ubc94\uc704\ub97c \ub2e4\uc74c\uacfc \uac19\uc774 \uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n    <\/p>\n
    # \ubd89\uc740\uc0c9 \ubc94\uc704 \uc124\uc815\nlower_red = np.array([0, 100, 100])\nupper_red = np.array([10, 255, 255])\n\nmask = cv2.inRange(segmented_image, lower_red, upper_red)\nresult = cv2.bitwise_and(image, image, mask=mask)\ncv2.imshow('Extracted Red Color', result)\n\n# \uacb0\uacfc \uc774\ubbf8\uc9c0 \ud45c\uc2dc\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n
    6. \uacb0\ub860<\/h2>\n
    \n        OpenCV\uc758 \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\uc640 K-Means \ud074\ub7ec\uc2a4\ud130\ub9c1 \uae30\ubc95\uc740 \uc774\ubbf8\uc9c0\uc5d0\uc11c \ud2b9\uc815 \uc0c9\uc0c1\uc744 \ucd94\ucd9c\ud558\uace0 \ubd84\uc11d\ud558\ub294 \ub370 \ub9e4\uc6b0 \uc720\uc6a9\ud569\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uc0c9\uc0c1 \uacf5\uac04, K-Means\uc758 \uc6d0\ub9ac, \uadf8\ub9ac\uace0 OpenCV\ub97c \ud65c\uc6a9\ud55c \uc2e4\uc2b5 \uc608\uc81c\ub97c \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \uc0c9\uc0c1\uc744 \ucd94\ucd9c\ud558\uace0 \uc2f6\ub2e4\uba74 \uac01 \uc0c9\uc0c1\uc758 HSV \ubc94\uc704\ub97c \uc870\uc815\ud558\uc5ec \uc2e4\ud5d8\ud574\ubcf4\uc138\uc694.\n    <\/p>\n
    \n        \uc55e\uc73c\ub85c\ub3c4 OpenCV\uc640 \uad00\ub828\ub41c \ub2e4\uc591\ud55c \uc8fc\uc81c\ub97c \ub2e4\ub8f0 \uacc4\ud68d\uc774\uba70, \ucef4\ud4e8\ud130 \ube44\uc804\uc758 \uc138\uacc4\ub97c \ud568\uaed8 \ud0d0\ud5d8\ud574\ubd05\uc2dc\ub2e4. \uad81\uae08\ud55c \uc810\uc774 \uc788\uc73c\uc2dc\uba74 \uc5b8\uc81c\ub4e0\uc9c0 \ub313\uae00\ub85c \ubb38\uc758\ud574 \uc8fc\uc138\uc694!\n    <\/p>\n
    <\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
    OpenCV(Open Source Computer Vision Library)\ub294 \ucef4\ud4e8\ud130 \ube44\uc804\uacfc \uc774\ubbf8\uc9c0 \ucc98\ub9ac\ub97c \uc704\ud55c \uc624\ud508\uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \ub2e4\uc591\ud55c \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\uc640 K-Means \ud074\ub7ec\uc2a4\ud130\ub9c1 \uae30\ubc95\uc744 \ud65c\uc6a9\ud558\uc5ec \uc0c9\uc0c1\uc744 \ucd94\ucd9c\ud558\uace0 \ubd84\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\ub780? \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\ub294 \uc774\ubbf8\uc9c0 \ub0b4\uc5d0\uc11c \ud2b9\uc815 \uc0c9\uc0c1\uc744 \ucd94\ucd9c\ud558\uace0 \ud574\ub2f9 \uc601\uc5ed\uc744 \ubd84\ub9ac\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774 \uae30\uc220\uc740 \uac1d\uccb4 \uc778\uc2dd, \uc774\ubbf8\uc9c0 \ubd84\uc11d, \ucef4\ud4e8\ud130 \ube44\uc804 … \ub354 \ubcf4\uae30 “OpenCV \uac15\uc88c, \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\uc640 K-Means \ud65c\uc6a9”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[187],"tags":[],"class_list":["post-38720","post","type-post","status-publish","format-standard","hentry","category-opencv"],"yoast_head":"\nOpenCV \uac15\uc88c, \uc0c9\uc0c1 \uae30\ubc18 \ubd84\ub9ac\uc640 K-Means \ud65c\uc6a9 - 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