I’m new to image analysis and I am struggling to do some automated segmantation. I have RGB images of wheat leaves obtained from a scanner (white background), that were converted to 8-bit using the color deconvolution plugin (H DAB). I need to calculate the mean pixel intensity of the leaves only, from the DAB channel. The segmentation methods I’ve tryed ("Threshold…, “SIOX”, “Create selection”, etc) returns a binary image but I need the original values to calculate the mean.
Is there a way I could I could select the leaves as ROIs automatically instead of using a polygon selection tool? Perhaps by ignoring the pixels with value>250 when calculating the mean of the entire image, without the need to segmentate? Or by creating a mask that substracts the white background and then I can calculate the mean intensity of the remaining pixels?
Thanik you very much in advance!
scan_2021-05-25-12-17-57-Im4-1.tif (3.8 MB)