Modeling a functional curve in a digital image
Curve image in gray scale:
Validation of the data computing the average value of each row and column, then compares this value with kline which has represents the gray value selected to define the maximum "black" pixel.
Try for different kl values until find a good one.
Cleaned data
Original data
With the matrix cleaned we can look for pixels from the function curve. With the following function we can scan the cleaned image matrix in the vertical and horizontal directions to find pixels that belong to the curve; the maximum opaque color is contained in the variable kcurve.
Try for different kc values until find a good one.
Also isolate the curves selectring adequate ranges
Read range values here
Scanned data
Original data
Now we can fit the data according to some model
Results
ToDo: scale the plot