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2014-02-25 00:27:49 -0600 | commented answer | Correct HSV InRange Values for 'Red' Objects Thank you very much! How can I run your code with Java (since yours is in C) or can I use gcc to compile your C code? |
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2014-02-23 23:30:42 -0600 | asked a question | Correct HSV InRange Values for 'Red' Objects I am using OpenCV 2.4.6 to try to detect white objects in an image that is primarily green-grey. (See the following picture). I have converted this image into the HSV format and these white objects (houses) as expected are converted into a reddish-orange equivalent when printed out. I've been trying to find the values that cover these reddish oranges so I can then use connected components to detect the objects. However, experimentally trying to find the ranges has not been working - so far it has produced somewhat adequate results with the range 190 to 255. Looking around, I have found sources saying thresholds of 0 to 10 work, or 110 to 140, but sources also say that the HSV InRange values in OpenCV only range from 0 to 180.
FYI: There is background noise such as a road and fields but that's not important right now, I just want to find out the 'correct' InRange Values. Here is a snippet of my current code: // Convert to HSV for better thresh results Mat src = read from image file; Mat dest = new Mat(); Pictures: Thanks in advance. |