{"action":"created","issue":{"url":"https://api.github.com/repos/opencv/opencv/issues/6765","repository_url":"https://api.github.com/repos/opencv/opencv","labels_url":"https://api.github.com/repos/opencv/opencv/issues/6765/labels{/name}","comments_url":"https://api.github.com/repos/opencv/opencv/issues/6765/comments","events_url":"https://api.github.com/repos/opencv/opencv/issues/6765/events","html_url":"https://github.com/opencv/opencv/issues/6765","id":163494212,"number":6765,"title":"Are you sure that coefficients for detecting brightness are right?","user":{"login":"littleguga","id":12018713,"avatar_url":"https://avatars.githubusercontent.com/u/12018713?v=3","gravatar_id":"","url":"https://api.github.com/users/littleguga","html_url":"https://github.com/littleguga","followers_url":"https://api.github.com/users/littleguga/followers","following_url":"https://api.github.com/users/littleguga/following{/other_user}","gists_url":"https://api.github.com/users/littleguga/gists{/gist_id}","starred_url":"https://api.github.com/users/littleguga/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/littleguga/subscriptions","organizations_url":"https://api.github.com/users/littleguga/orgs","repos_url":"https://api.github.com/users/littleguga/repos","events_url":"https://api.github.com/users/littleguga/events{/privacy}","received_events_url":"https://api.github.com/users/littleguga/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/opencv/opencv/labels/RFC","name":"RFC","color":"f080f0"}],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":7,"created_at":"2016-07-02T00:46:26Z","updated_at":"2016-07-11T08:56:27Z","closed_at":"2016-07-08T15:21:02Z","body":"https://github.com/Itseez/opencv/blob/master/modules/imgcodecs/src/utils.cpp#L46\r\nhttps://github.com/Itseez/opencv/blob/master/modules/imgproc/perf/perf_floodfill.cpp#L58\r\n\r\nFor now there are coefficients for NTSC, not sRGB.\r\n\r\nSee sRGB table: http://www.brucelindbloom.com/index.html?WorkingSpaceInfo.html\r\nOr point 9 here: http://www.poynton.com/notes/colour_and_gamma/ColorFAQ.html\r\n"},"comment":{"url":"https://api.github.com/repos/opencv/opencv/issues/comments/231677979","html_url":"https://github.com/opencv/opencv/issues/6765#issuecomment-231677979","issue_url":"https://api.github.com/repos/opencv/opencv/issues/6765","id":231677979,"user":{"login":"mshabunin","id":3304494,"avatar_url":"https://avatars.githubusercontent.com/u/3304494?v=3","gravatar_id":"","url":"https://api.github.com/users/mshabunin","html_url":"https://github.com/mshabunin","followers_url":"https://api.github.com/users/mshabunin/followers","following_url":"https://api.github.com/users/mshabunin/following{/other_user}","gists_url":"https://api.github.com/users/mshabunin/gists{/gist_id}","starred_url":"https://api.github.com/users/mshabunin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mshabunin/subscriptions","organizations_url":"https://api.github.com/users/mshabunin/orgs","repos_url":"https://api.github.com/users/mshabunin/repos","events_url":"https://api.github.com/users/mshabunin/events{/privacy}","received_events_url":"https://api.github.com/users/mshabunin/received_events","type":"User","site_admin":false},"created_at":"2016-07-11T08:56:27Z","updated_at":"2016-07-11T08:56:27Z","body":"@dom1n1k , your example is not related to [computer vision](https://en.wikipedia.org/wiki/Computer_vision). I agree that grayscale image produced from RGB using Rec.709 looks better on LCD screen, but OpenCV is different kind of library. It would be great if you can give examples of computer vision algorithms wich behave worse or break when input or intermediate image is converted to grayscale using Rec.601 coefficients."}}
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