OpenCV\uc5d0\uc11c \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \ucc44\ub110, \uc989 \uc77c\ubc18\uc801\uc73c\ub85c Red, Green, Blue\ub85c \ubd84\ub9ac\ub41c \ub370\uc774\ud130 \ubc84\ud37c\ub97c \uac1c\ubcc4 \uc694\uc18c\ub85c \ubd84\ub9ac\ud558\uace0, \uc774\ub807\uac8c \ubd84\ub9ac\ub41c Channel\ub4e4\uc744 \ub2e4\uc2dc \ud558\ub098\uc758 \uc774\ubbf8\uc9c0\ub85c\uc368 \ubb36\ub294 \uacbd\uc6b0 \ub300\ud55c \uae30\ucd08\uc801\uc778 API\uc5d0 \ub300\ud55c \uc815\ub9ac\uc785\ub2c8\ub2e4.<\/p>\n
\uc815\ub9ac\ub97c \uc704\ud55c \ucf54\ub4dc\uac00 \ub9e4\uc6b0 \uc9e7\uc740\ub370, \uc544\ub798\uc640 \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\r\nimport cv2\r\nimport numpy as np\r\n\r\nsrc = cv2.imread('.\/data\/lena.jpg')\r\ncv2.imshow('src', src)\r\n\r\nhsv = cv2.cvtColor(src, cv2.COLOR_BGR2HSV)\r\nh, s, v = cv2.split(hsv)\r\n\r\nv2 = cv2.equalizeHist(v)\r\nhsv2 = cv2.merge([h, s, v2])\r\ndst = cv2.cvtColor(hsv2, cv2.COLOR_HSV2BGR)\r\ncv2.imshow('dst', dst)\r\n\r\ncv2.waitKey()\r\ncv2.destroyAllWindows()\r\n<\/pre>\n\ucf54\ub4dc 4\ubc88\uc5d0\uc11c \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\ub97c \uc77d\uc5b4\uc640 src\uc5d0 \uc800\uc7a5\ud558\uace0, 7\ubc88\uc5d0\uc11c RGB \ucc44\ub110(OpenCV\ub294 BGR \uc21c\uc11c\uc784)\uc744 HSV \ucc44\ub110\ub85c \ubcc0\ud658\ud558\uc5ec hsv \ubc84\ud37c\uc5d0 \uc800\uc7a5\ud569\ub2c8\ub2e4. \uc774 hsv \ubc84\ud37c\uc5d0 \uc800\uc7a5\ub41c 3\uac1c\uc758 \ucc44\ub110\uc744 \uac01\uac01 h, s, v \ubc84\ud37c\uc5d0 \uc800\uc7a5 \ubd84\ub9ac\ud558\ub294 \ucf54\ub4dc\uac00 8\ubc88\uc778 cv2.split \uc785\ub2c8\ub2e4. \ubd84\ub9ac\ub41c \ucc44\ub110 \uc911 v\uc5d0 \ub300\ud574 Histogram \uade0\ub4f1\ud654\ub97c \uc218\ud589\ud558\uae30 \uc704\ud574 10\ubc88\uc774 \uc2e4\ud589\ub418\uc5c8\uace0, \uade0\ub4f1\ud654\ub41c v\ub294 v2 \ubc84\ud37c\uc5d0 \uc800\uc7a5\ub429\ub2c8\ub2e4. \ub2e4\uc2dc h, s, v2 \ubc84\ud37c\uc5d0 \uc800\uc7a5\ub41c 3\uac1c\uc758 Channel\uc744 \uc870\ud569\ud558\uae30 \uc704\ud574 11\ubc88 \ucf54\ub4dc\uc758 cv2.merge API\uac00 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"
OpenCV\uc5d0\uc11c \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \ucc44\ub110, \uc989 \uc77c\ubc18\uc801\uc73c\ub85c Red, Green, Blue\ub85c \ubd84\ub9ac\ub41c \ub370\uc774\ud130 \ubc84\ud37c\ub97c \uac1c\ubcc4 \uc694\uc18c\ub85c \ubd84\ub9ac\ud558\uace0, \uc774\ub807\uac8c \ubd84\ub9ac\ub41c Channel\ub4e4\uc744 \ub2e4\uc2dc \ud558\ub098\uc758 \uc774\ubbf8\uc9c0\ub85c\uc368 \ubb36\ub294 \uacbd\uc6b0 \ub300\ud55c \uae30\ucd08\uc801\uc778 API\uc5d0 \ub300\ud55c \uc815\ub9ac\uc785\ub2c8\ub2e4. \uc815\ub9ac\ub97c \uc704\ud55c \ucf54\ub4dc\uac00 \ub9e4\uc6b0 \uc9e7\uc740\ub370, \uc544\ub798\uc640 \uac19\uc2b5\ub2c8\ub2e4. import cv2 import numpy as np src = cv2.imread(‘.\/data\/lena.jpg’) cv2.imshow(‘src’, src) hsv = cv2.cvtColor(src, cv2.COLOR_BGR2HSV) h, s, v = cv2.split(hsv) … <\/p>\n