2014-05-13 05:48:44 -0600 | commented question | Calc Grain of Image? (Difference between two Pictures) Thanks. That are exactly the things i need! I will give it a try. |
2014-05-13 05:35:02 -0600 | commented question | Calc Grain of Image? (Difference between two Pictures) I nearly completly new to OpenCV. I never used it before, this one Project. So My Question is how to find a Value for those two Images. In Reality i Know the Picture Above is really low (near 0% - Completly Black would be 0%) and the Picture Down is a High Value near 100%. So my Question is, how can i find a Calculation to Scan such Objects and Get a Values from 0 to 100%. I already made it to scan those Circles. Now i am working on the Calculation, Because I need an Output for the User and therefore a Value between 0 and 100% would be good. Is this explaniation helpful? I added a 50% Version also as Image in the Post above. |
2014-05-13 05:13:30 -0600 | received badge | ● Editor (source) |
2014-05-13 05:12:53 -0600 | asked a question | Calc Grain of Image? (Difference between two Pictures) Hi There, I am now working nearly 1 Months with the iOS Library of OpenCV and I got to a point where I need your help! Here are two Examples of the Images I am currently scanning with the Camera of the iPhone. This is the Image that should be nearly 0% Percent, Maybe somewhere 10%. This Image should be somewhere near 100% Percent. Problem: I now have to calculate a value to get a difference between the two of them. I tried working over threshold and mean but the Problem is the Camera of the iPhone. The values/colors are somehow different each time I try to make a scanning try. Because the solution has to be somewhere legit, there can not be a way different result each time I scan the circle. Question: So I thought i would be perfect to somehow calculate the grain of the image? Because the Image of nearly 100% is way more granulated than 0%. And so the Color of the Image would not be that important. Or is this the wrong way? Hope you can help me! :) Thanks! EDIT: 50% Image |