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Why this incongruency happens regarding number of pixels?
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Hi
I use the image I attached.
I use this line to get the sum of pixels from row 307 to 366, at columns from 464 to 490
for col = 464 : 490
heights(col) = sum(rgbImage(366,col) - rgbImage(307,col));
end
This subtraction would give us 59 pixels and with a calibration factor of 0,042 it would give us around 2,48 mm for all the columns.
When I export the values to an excel file I get
If you multiply the below values with 0,042 you only get around 6 values acceptable and the closest to 2,5mm.
Why this incongruency???
By measuring heights(col), I should get 59 pixels multiplied by 0,042 I would get around 2,47 mm. Why I don't get those values when I export them to Excel??
Any ideas?
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댓글 수: 11
Image Analyst
2019년 2월 24일
If you have an RGB image, why are you conly giving two indexes? It should have 3.
Perhaps you'd find improfile easier since it just returns x,y coordinates and you can find the end points easily from the first element and the last element of the coordinates.
Why are you summing the values?
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