I am having trouble generating results from the QCPA without using methods relying on the RNL model. I am working with a turtle, and unfortunately turtles seem to be one of the few situations where RNL is not recommended (van den Berg 2020 specifically mentions Rocha et al. as a circumstance to avoid RNL). However, I am not sure where that leaves me with getting values from the framework.
I think that I am after values like patch Dmax and patch luminance, since I am measuring arm stripe color to relate to immune function, and a reviewer suggested that I should be after chromatic and achromatic contrast. I am not sure how to get those values from QCPA, since every time I uncheck the option for the RNL ranked filter and set clustering to an option other than RNL cluster, I don’t get any values in the output, and sometimes I get errors. Also potentially relevant is that I have a specific ROI selected of the arm. Do you know how I could get these values for turtle arm stripes? Or if I am just heading off in the wrong direction? Thank you!
As always, I appreciate your time!
Apologies for seeing this just now. I am surprised the naive Bayes classifier isn’t able to separate the stripe. Did you give an area for each element you’d like to separate? Alternatively, have a look at https://github.com/hiweller/recolorize which might enable you to pre-process your image prior to re-importing it into the QCPA workflow.