{"id":969,"date":"2023-11-05T07:39:26","date_gmt":"2022-09-25T12:06:34","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/index.php\/2023\/11\/30\/%e7%94%bb%e5%83%8f%e5%87%a6%e7%90%86%e3%81%ae%e3%83%91%e3%83%bc%e3%83%885%ef%bc%9a%e7%ae%97%e8%a1%93%e3%80%81%e3%83%93%e3%83%83%e3%83%88%e6%bc%94%e7%ae%97%e3%80%81%e3%81%8a%e3%82%88%e3%81%b3%e3%83%9e\/"},"modified":"2025-08-01T03:56:06","modified_gmt":"2025-07-31T18:56:06","slug":"%e7%94%bb%e5%83%8f%e5%87%a6%e7%90%86%e3%81%ae%e3%83%91%e3%83%bc%e3%83%885%ef%bc%9a%e7%ae%97%e8%a1%93%e3%80%81%e3%83%93%e3%83%83%e3%83%88%e6%bc%94%e7%ae%97%e3%80%81%e3%81%8a%e3%82%88%e3%81%b3%e3%83%9e","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/%e7%94%bb%e5%83%8f%e5%87%a6%e7%90%86%e3%81%ae%e3%83%91%e3%83%bc%e3%83%885%ef%bc%9a%e7%ae%97%e8%a1%93%e3%80%81%e3%83%93%e3%83%83%e3%83%88%e6%bc%94%e7%ae%97%e3%80%81%e3%81%8a%e3%82%88%e3%81%b3%e3%83%9e\/","title":{"rendered":"\u753b\u50cf\u51e6\u7406\u306e\u30d1\u30fc\u30c85\uff1a\u7b97\u8853\u3001\u30d3\u30c3\u30c8\u6f14\u7b97\u3001\u304a\u3088\u3073\u30de\u30b9\u30ad\u30f3\u30b0"},"content":{"rendered":"

\u3053\u306e\u753b\u50cf\u51e6\u7406\u30b7\u30ea\u30fc\u30ba\u306e\u7b2c5\u90e8\u3067\u306f\u3001Python\u306b\u304a\u3051\u308b\u7b97\u8853\u304a\u3088\u3073\u30d3\u30c3\u30c8\u6f14\u7b97\u3001\u304a\u3088\u3073\u30de\u30b9\u30ad\u30f3\u30b0\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n

\u3053\u3061\u3089\u306e\u30de\u30b9\u30af\u5b66\u7fd2\u306e\u5192\u967a\u3092\u59cb\u3081\u308b\u524d\u306b\u3001\u4ee5\u524d\u306e\u8a18\u4e8b\u3092\u7e70\u308a\u8fd4\u3057\u8aad\u3080\u3053\u3068\u3092\u304a\u3059\u3059\u3081\u3057\u307e\u3059\u3002<\/p>\n

\u74b0\u5883\u306e\u30bb\u30c3\u30c8\u30a2\u30c3\u30d7\u3092\u884c\u3046<\/h2>\n

\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u306f\u3001\u4ee5\u4e0b\u306e\u3059\u3079\u3066\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u5de8\u5927\u306a\u30b3\u30fc\u30c9\u30d6\u30ed\u30c3\u30af\u3092\u8aad\u3080\u5fc5\u8981\u304c\u306a\u3044\u3088\u3046\u306b\u3001\u3053\u3053\u306b\u542b\u3081\u3066\u304a\u304d\u307e\u3059\u3002<\/p>\n

\u6574\u7406\u3092\u52a9\u3051\u307e\u3059 \ud83d\ude42<\/p>\n

# importing numpy to work with pixels<\/span>\r\nimport<\/span> numpy as<\/span> np\r\n\r\n# importing argument parsers<\/span>\r\nimport<\/span> argparse\r\n\r\n# importing the OpenCV module<\/span>\r\nimport<\/span> cv2\r\n\r\n\r\n# initializing an argument parser object<\/span>\r\nap =<\/span> argparse.<\/span>ArgumentParser(<\/span>)<\/span>\r\n\r\n# adding the argument, providing the user an option<\/span>\r\n# to input the path of the image<\/span>\r\nap.<\/span>add_argument(<\/span>\"-i\"<\/span>,<\/span> \"--image\"<\/span>,<\/span> required=<\/span>True<\/span>,<\/span> help<\/span>=<\/span>\"Path to the image\"<\/span>)<\/span>\r\n\r\n# parsing the argument<\/span>\r\nargs =<\/span> vars<\/span>(<\/span>ap.<\/span>parse_args(<\/span>)<\/span>)<\/span>\r\n\r\n# reading the image location through args<\/span>\r\n# and reading the image using cv2.imread<\/span>\r\nimage =<\/span> cv2.<\/span>imread(<\/span>args[<\/span>\"image\"<\/span>]<\/span>)<\/span>\r\n<\/code><\/pre>\n
Python\u3092\u4f7f\u7528\u3057\u305f\u753b\u50cf\u306e\u7b97\u8853\u6f14\u7b97<\/h2>\n
\u7b97\u8853\u6f14\u7b97\u306f\u3001\u753b\u50cf\u306e\u3055\u307e\u3056\u307e\u306a\u5074\u9762\u3092\u5927\u5e45\u306b\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u30e9\u30a4\u30c6\u30a3\u30f3\u30b0\u3084\u30b7\u30e3\u30c9\u30a6\u3001\u8d64\u3001\u9752\u3001\u7dd1\u306e\u8272\u6620\u3048\u306e\u5411\u4e0a\u306b\u53d6\u308a\u7d44\u3080\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u591a\u304f\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u753b\u50cf\u30d5\u30a3\u30eb\u30bf\u30fc\u306f\u3001\u5199\u771f\u3092\u5909\u5316\u3055\u305b\u7f8e\u5316\u3059\u308b\u305f\u3081\u306b\u540c\u3058\u65b9\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u3067\u306f\u3001\u3059\u3079\u3066\u306e\u30b3\u30fc\u30c9\u3092\u59cb\u3081\u307e\u3057\u3087\u3046\uff01<\/p>\n
\u6700\u521d\u306b\u3001255\u4ee5\u4e0a\u306b\u5236\u9650\u304c\u304b\u304b\u308b\u304b0\u4ee5\u4e0b\u306b\u306a\u308b\u304b\u3092\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u3001\u7c21\u5358\u306a\u30c6\u30b9\u30c8\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30c6\u30b9\u30c8\u3067\u306f255\u30680\u306e\u5024\u304c\u51fa\u529b\u3055\u308c\u307e\u3059\u3002<\/p>\n
# printing out details of image min, max and the wrap around<\/span>\r\nprint<\/span>(<\/span>\"max of 255 :\"<\/span>,<\/span> str<\/span>(<\/span>cv2.<\/span>add(<\/span>np.<\/span>uint8(<\/span>[<\/span>200<\/span>]<\/span>)<\/span>,<\/span> np.<\/span>uint8(<\/span>[<\/span>100<\/span>]<\/span>)<\/span>)<\/span>)<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"min of 0 :\"<\/span>,<\/span> str<\/span>(<\/span>cv2.<\/span>subtract(<\/span>np.<\/span>uint8(<\/span>[<\/span>50<\/span>]<\/span>)<\/span>,<\/span> np.<\/span>uint8(<\/span>[<\/span>100<\/span>]<\/span>)<\/span>)<\/span>)<\/span>)<\/span>\r\n\r\nprint<\/span>(<\/span>\"wrap around :\"<\/span>,<\/span> str<\/span>(<\/span>np.<\/span>uint8(<\/span>[<\/span>200<\/span>]<\/span>)<\/span> +<\/span> np.<\/span>uint8(<\/span>[<\/span>100<\/span>]<\/span>)<\/span>)<\/span>)<\/span>\r\nprint<\/span>(<\/span>\"wrap around :\"<\/span>,<\/span> str<\/span>(<\/span>np.<\/span>uint8(<\/span>[<\/span>50<\/span>]<\/span>)<\/span> -<\/span> np.<\/span>uint8(<\/span>[<\/span>100<\/span>]<\/span>)<\/span>)<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u3053\u306e\u4f8b\u3067\u306f\u3001\u753b\u50cf\u306e\u3059\u3079\u3066\u306e\u30d4\u30af\u30bb\u30eb\u306e\u5f37\u5ea6\u3092100\u5897\u52a0\u3055\u305b\u3066\u3044\u307e\u3059\u3002<\/p>\n
# adding pixels of value 255 (white) to the image<\/span>\r\nM =<\/span> np.<\/span>ones(<\/span>image.<\/span>shape,<\/span> dtype=<\/span>\"uint8\"<\/span>)<\/span> *<\/span> 100<\/span>\r\nadded =<\/span> cv2.<\/span>add(<\/span>image,<\/span> M)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"Added\"<\/span>,<\/span> added)<\/span>\r\ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u3053\u308c\u306f\u3001NumPy\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u4f7f\u3063\u3066\u3001\u79c1\u305f\u3061\u306e\u753b\u50cf\u3068\u540c\u3058\u30b5\u30a4\u30ba\u306e\u884c\u5217\u3092\u69cb\u7bc9\u3057\u3001\u305d\u308c\u306b\u753b\u50cf\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u3067\u884c\u308f\u308c\u307e\u3059\u3002<\/p>\n
\u753b\u50cf\u3092\u6697\u304f\u3057\u305f\u3044\u5834\u5408\u3001\u4e0b\u8a18\u306e\u3088\u3046\u306b\u753b\u50cf\u306e\u30d4\u30af\u30bb\u30eb\u5024\u304b\u3089\u6e1b\u7b97\u3057\u307e\u3059\u3002<\/p>\n
# adding pixels of value 0 (black) to the image<\/span>\r\nM =<\/span> np.<\/span>ones(<\/span>image.<\/span>shape,<\/span> dtype=<\/span>\"uint8\"<\/span>)<\/span> *<\/span> 50<\/span>\r\nsubtracted =<\/span> cv2.<\/span>subtract(<\/span>image,<\/span> M)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"Subtracted\"<\/span>,<\/span> subtracted)<\/span>\r\ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u3053\u308c\u306b\u3088\u308a\u3001\u5143\u306e\u753b\u50cf\u306e\u660e\u308b\u3055\u3084\u6697\u3055\u3092\u5909\u3048\u305f\u30d0\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u304c2\u3064\u63d0\u4f9b\u3055\u308c\u307e\u3059\u3002<\/p>\n
\u30d3\u30c3\u30c8\u6f14\u7b97<\/h2>\n
\u753b\u50cf\u306e\u30de\u30b9\u30ad\u30f3\u30b0\u3092\u8a66\u307f\u308b\u969b\u306b\u306f\u3001\u30d3\u30c3\u30c8\u6f14\u7b97\u3092\u3088\u304f\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n
OpenCV\u306e\u3053\u306e\u6a5f\u80fd\u306b\u3088\u308a\u3001\u79c1\u305f\u3061\u306b\u95a2\u9023\u3059\u308b\u753b\u50cf\u306e\u4e00\u90e8\u3092\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u30bb\u30c3\u30c8\u30a2\u30c3\u30d7\u306e\u6e96\u5099<\/h3>\n
\u30d3\u30c3\u30c8\u6f14\u7b97\u3092\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u307e\u305a\u64cd\u4f5c\u3092\u884c\u3046\u305f\u3081\u306e2\u3064\u306e\u5909\u6570\u307e\u305f\u306f\u753b\u50cf\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n
\u3067\u306f\u3001\u30d3\u30c3\u30c8\u3054\u3068\u306e\u6f14\u7b97\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u3001\u30d3\u30c3\u30c8\u3054\u3068\u306e\u6b63\u65b9\u5f62\u3068\u30d3\u30c3\u30c8\u3054\u3068\u306e\u5186\u3092\u4f5c\u308a\u307e\u3057\u3087\u3046\u3002<\/p>\n
\u30d3\u30c3\u30c8\u6f14\u7b97\u3092\u884c\u3046\u305f\u3081\u306b\u306f\u3001\u753b\u50cf\u306f\u767d\u3068\u9ed2\u3067\u3042\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
# creating a square of zeros using a variable<\/span>\r\nrectangle =<\/span> np.<\/span>zeros(<\/span>(<\/span>300<\/span>,<\/span> 300<\/span>)<\/span>,<\/span> dtype=<\/span>\"uint8\"<\/span>)<\/span>\r\ncv2.<\/span>rectangle(<\/span>rectangle,<\/span> (<\/span>25<\/span>,<\/span> 25<\/span>)<\/span>,<\/span> (<\/span>275<\/span>,<\/span> 275<\/span>)<\/span>,<\/span> 255<\/span>,<\/span> -<\/span>1<\/span>)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"Rectangle : \"<\/span>,<\/span> rectangle)<\/span>\r\n\r\n# creating a circle of zeros using a variable<\/span>\r\ncircle =<\/span> np.<\/span>zeros(<\/span>(<\/span>300<\/span>,<\/span> 300<\/span>)<\/span>,<\/span> dtype=<\/span>\"uint8\"<\/span>)<\/span>\r\ncv2.<\/span>circle(<\/span>circle,<\/span> (<\/span>150<\/span>,<\/span> 150<\/span>)<\/span>,<\/span> 150<\/span>,<\/span> 255<\/span>,<\/span> -<\/span>1<\/span>)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"Circle : \"<\/span>,<\/span> circle)<\/span>\r\n<\/code><\/pre>\n
\u53d7\u3051\u53d6\u308b\u51fa\u529b\u753b\u50cf\u306f\u3001\u3053\u3061\u3089\u306e\u3088\u3046\u306b\u898b\u3048\u308b\u3079\u304d\u3067\u3059\u3002 (Uketoru shutsuryoku gaz\u014d wa, kochira no y\u014d ni mieru beki desu.)<\/p>\n
\"Image<\/div>\n
\u300cAND\u300d\u6f14\u7b97\u5b50\u3092\u4f7f\u3063\u3066\u7d50\u5408\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/h3>\n
\u30d3\u30c3\u30c8\u6f14\u7b97\u52a0\u7b97\u306f\u30012\u3064\u306e\u7570\u306a\u308b\u753b\u50cf\u306e\u52a0\u7b97\u3092\u53c2\u7167\u3057\u3001\u753b\u50cf\u306e\u5404\u30d4\u30af\u30bb\u30eb\u306bAND\u6f14\u7b97\u3092\u9069\u7528\u3057\u3066\u8868\u793a\u3059\u308b\u3053\u3068\u3092\u6307\u3057\u307e\u3059\u3002<\/p>\n
# the bitwise_and function executes the AND operation<\/span>\r\n# on both the images<\/span>\r\nbitwiseAnd =<\/span> cv2.<\/span>bitwise_and(<\/span>rectangle,<\/span> circle)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"AND\"<\/span>,<\/span> bitwiseAnd)<\/span>\r\ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u5186\u3068\u56db\u89d2\u5f62\u306e\u30d3\u30c3\u30c8\u30ef\u30a4\u30ba\u52a0\u7b97\u306b\u3088\u3063\u3066\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u51fa\u529b\u304c\u5f97\u3089\u308c\u307e\u3059\u3002<\/p>\n
\"Image<\/div>\n
OR \u64cd\u4f5c\u3092\u4f7f\u7528\u3057\u305f\u5834\u5408\u306e\u9078\u629e\u80a2\u304c\u4e0e\u3048\u3089\u308c\u305f\u5834\u5408<\/h3>\n
\u30d3\u30c3\u30c8\u5358\u4f4d\u306e\u8ad6\u7406\u548c\u306f\u3001\u5404\u753b\u7d20\u306b\u5bfe\u3057\u3066OR\u6f14\u7b97\u3092\u884c\u3063\u305f\u7d50\u679c\u3068\u3057\u3066\u3001\u4e8c\u3064\u306e\u753b\u50cf\u306e\u7a4d\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n
# the bitwise_or function executes the OR operation<\/span>\r\n# on both the images<\/span>\r\nbitwiseOr =<\/span> cv2.<\/span>bitwise_or(<\/span>rectangle,<\/span> circle)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"OR\"<\/span>,<\/span> bitwiseOr)<\/span>\r\ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u64cd\u4f5c\u306e\u30d3\u30c3\u30c8\u6bce\u306e\u8ad6\u7406\u548c\u3092\u5b9f\u884c\u3059\u308b\u969b\u306b\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u7d50\u679c\u304c\u5f97\u3089\u308c\u308b\u306f\u305a\u3067\u3059\u3002<\/p>\n
\"Image<\/div>\n
XOR \u6f14\u7b97\u306b\u3088\u308b\u6392\u4ed6\u6027<\/h3>\n
cv2\u30e2\u30b8\u30e5\u30fc\u30eb\u304c\u63d0\u4f9b\u3059\u308b\u5225\u306e\u64cd\u4f5c\u306f\u3001bitwise_xor\u95a2\u6570\u3092\u901a\u3058\u3066\u4f7f\u7528\u3067\u304d\u308bXOR\u64cd\u4f5c\u3067\u3059\u3002<\/p>\n
# the bitwise_xor function executes the XOR operation<\/span>\r\n# on both the images<\/span>\r\nbitwiseXor =<\/span> cv2.<\/span>bitwise_xor(<\/span>rectangle,<\/span> circle)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"XOR\"<\/span>,<\/span> bitwiseXor)<\/span>\r\ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span>\r\n<\/code><\/pre>\n
\"Image<\/div>\n
NOT\u6f14\u7b97\u5b50\u3092\u4f7f\u3063\u305f\u5426\u5b9a<\/h3>\n
\u6700\u5f8c\u306b\u3001\u30d3\u30c3\u30c8\u3054\u3068\u306e\u5426\u5b9a\u64cd\u4f5c\u3092\u884c\u3046\u305f\u3081\u306ebitwise_not\u95a2\u6570\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
NOT\u6f14\u7b97\u5b50\u306f\u3001\u4f55\u3082\u8ffd\u52a0\u3084\u6e1b\u7b97\u3059\u308b\u5fc5\u8981\u306a\u304f\u3001\u5358\u4e00\u306e\u753b\u50cf\u306e\u307f\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n
\u3057\u304b\u3057\u3001\u3053\u3053\u3067\u3082\u305d\u308c\u3092\u307e\u3060\u4f7f\u7528\u3057\u3066\u3044\u308b\u306e\u306f\u3001\u305d\u308c\u3082\u9078\u629e\u80a2\u306e\u4e00\u3064\u3067\u3059\u3002<\/p>\n
# the bitwise_not function executes the NOT operation<\/span>\r\n# on both the images<\/span>\r\nbitwiseNot =<\/span> cv2.<\/span>bitwise_not(<\/span>rectangle,<\/span> circle)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"NOT\"<\/span>,<\/span> bitwiseNot)<\/span>\r\ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u3053\u306e\u5834\u5408\u3001\u5186\u306f\u56db\u89d2\u5f62\u306e\u5185\u5074\u306b\u3042\u308a\u3001\u305d\u306e\u305f\u3081\u898b\u3048\u307e\u305b\u3093\u3002<\/p>\n
\"Image<\/div>\n
Python\u306eOpenCV\u3092\u4f7f\u7528\u3057\u305f\u753b\u50cf\u306e\u30de\u30b9\u30ad\u30f3\u30b0\u3002<\/h2>\n
\u30de\u30b9\u30ad\u30f3\u30b0\u306f\u753b\u50cf\u51e6\u7406\u306b\u304a\u3044\u3066\u4f7f\u7528\u3055\u308c\u3001\u95a2\u5fc3\u306e\u3042\u308b\u90e8\u5206\u3001\u3064\u307e\u308a\u79c1\u305f\u3061\u304c\u8208\u5473\u3092\u6301\u3063\u3066\u3044\u308b\u753b\u50cf\u306e\u4e00\u90e8\u3092\u51fa\u529b\u3059\u308b\u305f\u3081\u306b\u4f7f\u308f\u308c\u307e\u3059\u3002<\/p>\n
\u30a4\u30e1\u30fc\u30b8\u306e\u5fc5\u8981\u306e\u306a\u3044\u90e8\u5206\u3092\u53d6\u308a\u9664\u304f\u305f\u3081\u306b\u3001\u30d3\u30c3\u30c8\u6f14\u7b97\u3092\u30de\u30b9\u30ad\u30f3\u30b0\u306b\u3088\u304f\u5229\u7528\u3057\u307e\u3059\u3002<\/p>\n
\u3055\u3042\u3001\u30de\u30b9\u30ad\u30f3\u30b0\u3092\u59cb\u3081\u307e\u3057\u3087\u3046\uff01<\/p>\n
\u753b\u50cf\u306e\u30de\u30b9\u30ad\u30f3\u30b0\u30d7\u30ed\u30bb\u30b9<\/p>\n
\u30de\u30b9\u30ad\u30f3\u30b0\u306b\u306f3\u3064\u306e\u30b9\u30c6\u30c3\u30d7\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
    \n
  1. \n
      \u539f\u753b\u50cf\u3068\u540c\u3058\u30b5\u30a4\u30ba\u306e\u9ed2\u3044\u30ad\u30e3\u30f3\u30d0\u30b9\u3092\u4f5c\u6210\u3057\u3001\u30de\u30b9\u30af\u3068\u540d\u4ed8\u3051\u307e\u3059\u3002<\/ol>\n<\/li>\n<\/ol>\n
       <\/p>\n
        \n
      1. \n
          \u753b\u50cf\u5185\u306b\u4efb\u610f\u306e\u56f3\u5f62\u3092\u63cf\u753b\u3057\u3001\u767d\u3044\u8272\u3092\u4e0e\u3048\u308b\u3053\u3068\u3067\u30de\u30b9\u30af\u306e\u5024\u3092\u5909\u66f4\u3057\u307e\u3059\u3002<\/ol>\n<\/li>\n<\/ol>\n
           <\/p>\n
            \u753b\u50cf\u3068\u30de\u30b9\u30af\u306e\u9593\u3067\u30d3\u30c3\u30c8\u5358\u4f4d\u306e\u52a0\u7b97\u64cd\u4f5c\u3092\u884c\u3044\u307e\u3059\u3002<\/ol>\n
            \u540c\u3058\u30d7\u30ed\u30bb\u30b9\u306b\u5f93\u3063\u3066\u3001\u3044\u304f\u3064\u304b\u306e\u30de\u30b9\u30af\u3092\u4f5c\u6210\u3057\u3001\u305d\u308c\u3089\u3092\u753b\u50cf\u306b\u4f7f\u7528\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
            \u6700\u521d\u306b\u3001\u9577\u65b9\u5f62\u306e\u30de\u30b9\u30af\u3067\u4f5c\u696d\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
            # creating a mask of that has the same dimensions of the image<\/span>\r\n# where each pixel is valued at 0<\/span>\r\nmask =<\/span> np.<\/span>zeros(<\/span>image.<\/span>shape[<\/span>:<\/span>2<\/span>]<\/span>,<\/span> dtype=<\/span>\"uint8\"<\/span>)<\/span>\r\n\r\n# creating a rectangle on the mask<\/span>\r\n# where the pixels are valued at 255<\/span>\r\ncv2.<\/span>rectangle(<\/span>mask,<\/span> (<\/span>0<\/span>,<\/span> 90<\/span>)<\/span>,<\/span> (<\/span>290<\/span>,<\/span> 450<\/span>)<\/span>,<\/span> 255<\/span>,<\/span> -<\/span>1<\/span>)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"Mask\"<\/span>,<\/span> mask)<\/span>\r\n\r\n# performing a bitwise_and with the image and the mask<\/span>\r\nmasked =<\/span> cv2.<\/span>bitwise_and(<\/span>image,<\/span> image,<\/span> mask=<\/span>mask)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"Mask applied to Image\"<\/span>,<\/span> masked)<\/span>\r\ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span>\r\n<\/code><\/pre>\n
            \u3067\u306f\u3001\u3055\u3063\u305d\u304f\u5186\u5f62\u306e\u30de\u30b9\u30af\u3067\u8a66\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
            # creating a mask of that has the same dimensions of the image<\/span>\r\n# where each pixel is valued at 0<\/span>\r\nmask =<\/span> np.<\/span>zeros(<\/span>image.<\/span>shape[<\/span>:<\/span>2<\/span>]<\/span>,<\/span> dtype=<\/span>\"uint8\"<\/span>)<\/span>\r\n\r\n# creating a rectangle on the mask<\/span>\r\n# where the pixels are valued at 255<\/span>\r\ncv2.<\/span>circle(<\/span>mask,<\/span> (<\/span>145<\/span>,<\/span> 200<\/span>)<\/span>,<\/span> 100<\/span>,<\/span> 255<\/span>,<\/span> -<\/span>1<\/span>)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"Mask\"<\/span>,<\/span> mask)<\/span>\r\n\r\n# performing a bitwise_and with the image and the mask<\/span>\r\nmasked =<\/span> cv2.<\/span>bitwise_and(<\/span>image,<\/span> image,<\/span> mask=<\/span>mask)<\/span>\r\ncv2.<\/span>imshow(<\/span>\"Mask applied to Image\"<\/span>,<\/span> masked)<\/span>\r\ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span>\r\n<\/code><\/pre>\n
            \u3059\u3079\u3066\u304c\u3046\u307e\u304f\u3044\u3051\u3070\u3001\u79c1\u305f\u3061\u306f\u3053\u3093\u306a\u98a8\u306b\u898b\u3048\u308b\u3088\u3046\u306a\u51fa\u529b\u3092\u53d7\u3051\u53d6\u308b\u306f\u305a\u3067\u3059\u3002<\/p>\n
            \"Image<\/div>\n
            \u7d50\u8ad6<\/h2>\n
            \u3064\u3044\u306b\u753b\u50cf\u51e6\u7406\u306e\u4e2d\u6838\u306b\u5165\u308a\u307e\u3059\u3002\u30d3\u30c3\u30c8\u6f14\u7b97\u3068\u30de\u30b9\u30ad\u30f3\u30b0\u306e\u7406\u89e3\u306f\u91cd\u8981\u3067\u3059\u3002<\/p>\n
            \u79c1\u305f\u3061\u306b\u306f\u3001\u8208\u5473\u306e\u3042\u308b\u90e8\u5206\u3060\u3051\u3092\u53d6\u308a\u8fbc\u3093\u3060\u308a\u3001\u753b\u50cf\u306e\u4e00\u90e8\u3092\u30d6\u30ed\u30c3\u30af\u3057\u305f\u308a\u3059\u308b\u305f\u3081\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002\u3060\u304b\u3089\u3001\u304b\u306a\u308a\u4fbf\u5229\u306a\u6982\u5ff5\u3067\u3059\u3002<\/p>\n
            \u79c1\u305f\u3061\u306f\u9069\u5ea6\u306a\u30b9\u30d4\u30fc\u30c9\u3067\u9032\u3093\u3067\u3044\u307e\u3059\u304c\u3001\u3082\u3057\u7d42\u308f\u308a\u306b\u65e9\u9001\u308a\u3057\u305f\u3044\u5834\u5408\u306f\u3001\u3069\u3046\u305e\u3054\u81ea\u7531\u306b\uff01<\/p>\n
            \u4ee5\u4e0b\u306f\u3001OpenCV\u3068\u9854\u8a8d\u8b58\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u77e5\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u8a18\u4e8b\u3068\u3001Android\u3068CameraX OpenCV\u306eJava\u5b9f\u88c5\u3092\u7d39\u4ecb\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
            \u53c2\u8003\u6587\u732e<\/h2>\n
              \n
            • Official OpenCV Website<\/li>\n
            • Introduction to starting out with OpenCV<\/li>\n
            • My GitHub Repository for Image Processing<\/li>\n
            • Arithmetic Operations Code<\/li>\n
            • Bitwise Operations Code<\/li>\n
            • Masking Code<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
              \u3053\u306e\u753b\u50cf\u51e6\u7406\u30b7\u30ea\u30fc\u30ba\u306e\u7b2c5\u90e8\u3067\u306f\u3001Python\u306b\u304a\u3051\u308b\u7b97\u8853\u304a\u3088\u3073\u30d3\u30c3\u30c8\u6f14\u7b97\u3001\u304a\u3088\u3073\u30de\u30b9\u30ad\u30f3\u30b0\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002 \u3053\u3061\u3089\u306e\u30de\u30b9\u30af\u5b66\u7fd2\u306e\u5192\u967a\u3092\u59cb\u3081\u308b\u524d\u306b\u3001\u4ee5\u524d\u306e\u8a18\u4e8b\u3092\u7e70\u308a\u8fd4\u3057\u8aad\u3080\u3053\u3068\u3092\u304a\u3059\u3059\u3081\u3057\u307e\u3059\u3002 \u74b0\u5883\u306e\u30bb\u30c3\u30c8\u30a2 […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[26,61],"class_list":["post-969","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-26","tag-61"],"yoast_head":"\n\u753b\u50cf\u51e6\u7406\u306e\u30d1\u30fc\u30c85\uff1a\u7b97\u8853\u3001\u30d3\u30c3\u30c8\u6f14\u7b97\u3001\u304a\u3088\u3073\u30de\u30b9\u30ad\u30f3\u30b0 - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"\u753b\u50cf\u51e6\u7406\u306e\u30d1\u30fc\u30c85\uff1a\u7b97\u8853\u30d3\u30c3\u30c8\u6f14\u7b97\u304a\u3088\u3073\u30de\u30b9\u30ad\u30f3\u30b0\u3092\u5206\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\u3002\u5b9f\u8df5\u7684\u306a\u4f8b\u3068\u30b3\u30fc\u30c9\u3001\u6ce8\u610f\u70b9\u3092\u542b\u3081\u3066\u521d\u5fc3\u8005\u306b\u3082\u7406\u89e3\u3067\u304d\u308b\u3088\u3046\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/ja\/blog\/\u753b\u50cf\u51e6\u7406\u306e\u30d1\u30fc\u30c85\uff1a\u7b97\u8853\u3001\u30d3\u30c3\u30c8\u6f14\u7b97\u3001\u304a\u3088\u3073\u30de\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u753b\u50cf\u51e6\u7406\u306e\u30d1\u30fc\u30c85\uff1a\u7b97\u8853\u3001\u30d3\u30c3\u30c8\u6f14\u7b97\u3001\u304a\u3088\u3073\u30de\u30b9\u30ad\u30f3\u30b0\" \/>\n<meta property=\"og:description\" content=\"\u753b\u50cf\u51e6\u7406\u306e\u30d1\u30fc\u30c85\uff1a\u7b97\u8853\u30d3\u30c3\u30c8\u6f14\u7b97\u304a\u3088\u3073\u30de\u30b9\u30ad\u30f3\u30b0\u3092\u5206\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\u3002\u5b9f\u8df5\u7684\u306a\u4f8b\u3068\u30b3\u30fc\u30c9\u3001\u6ce8\u610f\u70b9\u3092\u542b\u3081\u3066\u521d\u5fc3\u8005\u306b\u3082\u7406\u89e3\u3067\u304d\u308b\u3088\u3046\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/ja\/blog\/\u753b\u50cf\u51e6\u7406\u306e\u30d1\u30fc\u30c85\uff1a\u7b97\u8853\u3001\u30d3\u30c3\u30c8\u6f14\u7b97\u3001\u304a\u3088\u3073\u30de\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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