\uc601\uc0c1 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c \ube14\ub7ec(blur)\ub294 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uc774\ubbf8\uc9c0\uc758 \ub178\uc774\uc988\ub97c \uc904\uc774\uace0, \ubd80\ub4dc\ub7fd\uace0 \uc790\uc5f0\uc2a4\ub7ec\uc6b4 \ud6a8\uacfc\ub97c \uc0dd\uc131\ud558\uae30 \uc704\ud574 \ub2e4\uc591\ud55c \ube14\ub7ec\ub9c1 \uae30\ubc95\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. OpenCV\ub294 \uc774\ub7ec\ud55c \uae30\ubc95\uc744 \uc9c0\uc6d0\ud558\ub294 \ub2e4\uc591\ud55c \ud568\uc218\uc640 \ub3c4\uad6c\ub4e4\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 Gaussian Blur\uc640 Median Blur\uc758 \ucc28\uc774\uc810, \uac01\uac01\uc758 \uc6a9\ub3c4, \uadf8\ub9ac\uace0 \uc774\ub4e4\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
\ube14\ub7ec\ub9c1(Blur) \uae30\ubc95\uc740 \uc774\ubbf8\uc9c0\uc758 \ud574\uc0c1\ub3c4\ub97c \uc904\uc774\uc9c0 \uc54a\uace0, \ud544\ud130\ub9c1\uc744 \ud1b5\ud574 \ub178\uc774\uc988\ub97c \uc81c\uac70\ud558\uac70\ub098 \uc2a4\ud0c0\uc77c\uc744 \ubcc0\uacbd\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \ud53d\uc140 \uac12\uc774 \uc8fc\ubcc0 \ud53d\uc140\ub4e4\uacfc \ud3c9\uade0\ud654 \ub418\uc5b4 \uc774\ubbf8\uc9c0\uac00 \ubd80\ub4dc\ub7ec\uc6cc\uc9d1\ub2c8\ub2e4. \ube14\ub7ec\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc8fc\uc694 \ubaa9\uc801\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
Gaussian Blur\ub294 \uc774\ubbf8\uc9c0\uc758 \ud53d\uc140\uac12\uc744 \uac00\uc6b0\uc2dc\uc548 \ud568\uc218\uc5d0 \uae30\ubc18\ud558\uc5ec \ud544\ud130\ub9c1\ud558\ub294 \uae30\ubc95\uc785\ub2c8\ub2e4. \uac00\uc6b0\uc2dc\uc548 \ud568\uc218\ub294 \uc2dc\uac04 \ubc0f \uacf5\uac04\uc758 \uc5f0\uc18d\uc801\uc778 \ubcc0\ud654\ub97c \uc124\uba85\ud558\ub294 \ud1b5\uacc4\ud559\uc801 \ud568\uc218\ub85c, \uc774\ubbf8\uc9c0\uc758 \uac00\uc7a5\uc790\ub9ac\ub97c \ubd80\ub4dc\ub7fd\uac8c \ud558\uac70\ub098 \ub178\uc774\uc988\ub97c \uc81c\uac70\ud558\ub294 \ub370 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/p>\n
\uac00\uc6b0\uc2dc\uc548 \ud568\uc218\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc218\uc2dd\uc73c\ub85c \uc815\uc758\ub429\ub2c8\ub2e4:<\/p>\n
\n G(x, y) = (1 \/ (2\u03c0\u03c3\u00b2)) * e^(-(x\u00b2 + y\u00b2) \/ (2\u03c3\u00b2))\n <\/pre>\n\uc5ec\uae30\uc11c \u03c3\ub294 \ud45c\uc900\ud3b8\ucc28\ub85c, \ud544\ud130\uc758 ‘\ubd80\ub4dc\ub7ec\uc6c0’\uc744 \uacb0\uc815\ud569\ub2c8\ub2e4. \u03c3 \uac12\uc774 \ud074 \uc218\ub85d \ube14\ub7ec\uac00 \uac15\ud574\uc9d1\ub2c8\ub2e4. \uc774 \ud568\uc218\ub294 \uacf5\uac04 \uc88c\ud45c (x, y)\uc5d0 \ub530\ub77c \ud53d\uc140\uc758 \uac00\uc911\uce58\ub97c \uacb0\uc815\ud558\uc5ec \uc774\ubbf8\uc9c0\uc758 \uac01 \ud53d\uc140\uc744 \ubcf4\uac04\ud569\ub2c8\ub2e4.<\/p>\n
OpenCV\uc5d0\uc11c\uc758 Gaussian Blur \uc801\uc6a9<\/h3>\n
OpenCV\uc5d0\uc11c\ub294
cv2.GaussianBlur()<\/code> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Gaussian Blur\ub97c \uc27d\uac8c \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798\ub294 Python\uc744 \uc0ac\uc6a9\ud55c \uc608\uc81c \ucf54\ub4dc\uc785\ub2c8\ub2e4.<\/p>\n\n import cv2\n import numpy as np\n\n # \uc774\ubbf8\uc9c0 \uc77d\uae30\n image = cv2.imread('image.jpg')\n\n # Gaussian Blur \uc801\uc6a9\n blurred_image = cv2.GaussianBlur(image, (5, 5), 0)\n\n # \uacb0\uacfc \ucd9c\ub825\n cv2.imshow('Original Image', image)\n cv2.imshow('Gaussian Blurred Image', blurred_image)\n cv2.waitKey(0)\n cv2.destroyAllWindows()\n <\/pre>\nMedian Blur<\/h2>\n
Median Blur\ub294 \uc774\ubbf8\uc9c0\uc758 \uac01 \ud53d\uc140\uc744 \uc8fc\ubcc0 \ud53d\uc140\uc758 \uc911\uac04 \uac12\uc73c\ub85c \ub300\uccb4\ud558\ub294 \ube14\ub7ec\ub9c1 \uae30\ubc95\uc785\ub2c8\ub2e4. \uc774\ub294 \uc8fc\ub85c \uc18c\uae08\uacfc \ud6c4\ucd94 \ub178\uc774\uc988(salt and pepper noise)\uc640 \uac19\uc740\ud2b9\uc815 \ub178\uc774\uc988 \uc81c\uac70\uc5d0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/p>\n
Median Filter\uc758 \uc6d0\ub9ac<\/h3>\n
Median Filter\ub294 \uac01 \ud53d\uc140\uc744 \uacc4\uc0b0\ud560 \ub54c, \uadf8 \uc8fc\ubcc0 \ud53d\uc140\uc758 \uac12\uc744 \uc815\ub82c\ud55c \ud6c4 \uc911\uac04\uac12\uc744 \uc120\ud0dd\ud558\uc5ec \ub300\uccb4\ud569\ub2c8\ub2e4. \uc774 \ubc29\uc2dd\uc740 \uadf9\ub2e8\uc801\uc778 \uac12\uc758 \uc601\ud5a5\uc744 \uc904\uc774\ub294 \ub370 \uc720\ub9ac\ud569\ub2c8\ub2e4.<\/p>\n
OpenCV\uc5d0\uc11c\uc758 Median Blur \uc801\uc6a9<\/h3>\n
OpenCV\uc5d0\uc11c\ub294
cv2.medianBlur()<\/code> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Median Blur\ub97c \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798\ub294 Python\uc744 \uc0ac\uc6a9\ud55c \uc608\uc81c \ucf54\ub4dc\uc785\ub2c8\ub2e4.<\/p>\n\n import cv2\n import numpy as np\n\n # \uc774\ubbf8\uc9c0 \uc77d\uae30\n image = cv2.imread('image_with_salt_and_pepper_noise.jpg')\n\n # Median Blur \uc801\uc6a9\n median_blurred_image = cv2.medianBlur(image, 5)\n\n # \uacb0\uacfc \ucd9c\ub825\n cv2.imshow('Original Image', image)\n cv2.imshow('Median Blurred Image', median_blurred_image)\n cv2.waitKey(0)\n cv2.destroyAllWindows()\n <\/pre>\nGaussian Blur\uc640 Median Blur\uc758 \ucc28\uc774\uc810<\/h2>\n
Gaussian Blur\uc640 Median Blur\ub294 \uac01\uac01\uc758 \uc7a5\ub2e8\uc810\uacfc \ud2b9\uc131\uc744 \uace0\ub824\ud588\uc744 \ub54c, \ub2e4\uc74c\uacfc \uac19\uc740 \ucc28\uc774\uac00 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
- \uacb0\uacfc\uc758 \ubd80\ub4dc\ub7ec\uc6c0:<\/strong> Gaussian Blur\ub294 \ubd80\ub4dc\ub7fd\uace0 \uc5f0\uc18d\uc801\uc778 \uacb0\uacfc\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \ubc18\uba74, Median Blur\ub294 \uac15\ud55c \ub178\uc774\uc988 \uc81c\uac70 \ub2a5\ub825\uc744 \uac00\uc9c4 \uacb0\uacfc\ub85c, \ud2b9\ud788 \uc18c\uae08\uacfc \ud6c4\ucd94 \ub178\uc774\uc988\uc5d0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/li>\n
- \uacc4\uc0b0 \ubcf5\uc7a1\uc131:<\/strong> Gaussian Blur\ub294 \uc218\ud559\uc801\uc778 \uac00\uc6b0\uc2dc\uc548 \ud568\uc218\ub97c \uae30\ubc18\uc73c\ub85c \ud558\uc5ec \uacc4\uc0b0\uc774 \ubcf5\uc7a1\ud560 \uc218 \uc788\uc9c0\ub9cc, Median Blur\ub294 \ub2e8\uc21c\ud788 \uc911\uac04\uac12\uc744 \ucc3e\ub294 \ubc29\uc2dd\uc73c\ub85c \uad6c\ud604\uc774 \ube44\uad50\uc801 \uac04\ub2e8\ud569\ub2c8\ub2e4.<\/li>\n
- \uc801\uc6a9 \ubd84\uc57c:<\/strong> Gaussian Blur\ub294 \uc774\ubbf8\uc9c0\uc758 \uc790\uc5f0\uc2a4\ub7ec\uc6b4 \ud750\ub9bc\uacfc \uc544\uc6c3\ud3ec\ucee4\uc2a4 \ud6a8\uacfc\uc5d0 \uc801\ud569\ud558\uba70, Median Blur\ub294 \uc8fc\ub85c \ub178\uc774\uc988 \uc81c\uac70 \ubc0f \uc774\ubbf8\uc9c0\uc758 \uacbd\uacc4 \uac80\ucd9c \ub4f1\uc5d0 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n<\/ul>\n
\uacb0\ub860<\/h2>\n
OpenCV\ub294 \ub2e4\uc591\ud55c \uc774\ubbf8\uc9c0 \ucc98\ub9ac \uae30\ubc95\uc744 \uc81c\uacf5\ud558\uc5ec \uac1c\ubc1c\uc790\uc640 \uc5f0\uad6c\uc790\uac00 \ud544\uc694\uc5d0 \ub530\ub77c \ud6a8\uacfc\uc801\uc778 \ubc29\ubc95\uc744 \uc120\ud0dd\ud560 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4. Gaussian Blur\uc640 Median Blur\ub294 \ubaa8\ub450 \uc774\ubbf8\uc9c0\uc5d0\uc11c \ub178\uc774\uc988\ub97c \uc904\uc774\uace0 \ubd80\ub4dc\ub7fd\uac8c \ub9cc\ub4e4\uae30 \uc704\ud55c \uac15\ub825\ud55c \ub3c4\uad6c\uc785\ub2c8\ub2e4. \uac01 \uae30\uc220\uc758 \ucc28\uc774\uc810\uc744 \uc774\ud574\ud558\uace0 \uc801\uc808\ud55c \ubc29\ubc95\uc744 \uc120\ud0dd\ud568\uc73c\ub85c\uc368, \uc5ec\ub7ec\ubd84\uc740 \ub354\uc6b1 \ud6a8\uacfc\uc801\uc778 \uc774\ubbf8\uc9c0 \ucc98\ub9ac\ub97c \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\ucc38\uace0 \uc790\ub8cc<\/h2>\n