{"issue":{"state":"closed","created_at":"2011-12-04T22:48:11Z","updated_at":"2011-12-12T15:16:49Z","comments":3,"user":{"gravatar_id":"e490d1b6b8ec5fd527bbf3102abdfc16","id":196199,"url":"https://api.github.com/users/cesine","login":"cesine","avatar_url":"https://secure.gravatar.com/avatar/e490d1b6b8ec5fd527bbf3102abdfc16?d=https://a248.e.akamai.net/assets.github.com%2Fimages%2Fgravatars%2Fgravatar-140.png"},"body":"Probably the simplest and most robust way to get the image processing to run on the android is to port our python prototype to C++, and embed it in the app like the sample OpenCV android apps","assignee":{"gravatar_id":"d675b9fc87c7081160b7b16ce26c81f8","id":265504,"url":"https://api.github.com/users/pakdel","login":"pakdel","avatar_url":"https://secure.gravatar.com/avatar/d675b9fc87c7081160b7b16ce26c81f8?d=https://a248.e.akamai.net/assets.github.com%2Fimages%2Fgravatars%2Fgravatar-140.png"},"id":2444257,"labels":[{"color":"02d7e1","name":"client","url":"https://api.github.com/repos/AndroidImageProcessing/AndroidBacteriaImageProcessing/labels/client"},{"color":"e102d8","name":"Image processing","url":"https://api.github.com/repos/AndroidImageProcessing/AndroidBacteriaImageProcessing/labels/Image+processing"}],"pull_request":{"patch_url":null,"html_url":null,"diff_url":null},"number":26,"title":"Port the python image processing to c++","html_url":"https://github.com/AndroidImageProcessing/AndroidBacteriaImageProcessing/issues/26","closed_at":"2011-12-12T15:16:49Z","url":"https://api.github.com/repos/AndroidImageProcessing/AndroidBacteriaImageProcessing/issues/26","milestone":{"state":"open","created_at":"2011-12-04T13:30:58Z","closed_issues":3,"due_on":"2011-12-31T08:00:00Z","creator":{"gravatar_id":"e490d1b6b8ec5fd527bbf3102abdfc16","id":196199,"url":"https://api.github.com/users/cesine","login":"cesine","avatar_url":"https://secure.gravatar.com/avatar/e490d1b6b8ec5fd527bbf3102abdfc16?d=https://a248.e.akamai.net/assets.github.com%2Fimages%2Fgravatars%2Fgravatar-140.png"},"number":4,"title":"Iteration 3 - Image Processing Client Side","description":"Ideally the user should get instant feedback by the device and should not need to upload the images to a server to find out if the water contains harmful bacteria such as E. Coli. \r\n\r\nIn this iteration we will be using the sample Android NDK code provided by OpenCV to access the OpenCV library to wrap our own C++ code which filters the image, identifies the spots and returns a count of the spot types and a colorful representation of the meaning (color-coded). For more information about the color-coding visit the RHOK project definition. http://www.rhok.org/problems/bacteria-counting-app-low-cost-water-monitoring-kit\r\n\r\n-red\r\n-red with bubbles\r\n-blue \r\n-blue with bubbles ","url":"https://api.github.com/repos/AndroidImageProcessing/AndroidBacteriaImageProcessing/milestones/4","open_issues":7}},"action":"created","comment":{"created_at":"2011-12-12T15:16:49Z","updated_at":"2011-12-12T15:16:49Z","user":{"gravatar_id":"d675b9fc87c7081160b7b16ce26c81f8","id":265504,"url":"https://api.github.com/users/pakdel","login":"pakdel","avatar_url":"https://secure.gravatar.com/avatar/d675b9fc87c7081160b7b16ce26c81f8?d=https://a248.e.akamai.net/assets.github.com%2Fimages%2Fgravatars%2Fgravatar-140.png"},"body":"I think I should create another issue concerning the adaptiveThreshold thing!!","id":3107206,"url":"https://api.github.com/repos/AndroidImageProcessing/AndroidBacteriaImageProcessing/issues/comments/3107206"}}