I try to modify parameters in edge = edgesNms(edge, O, 2, 5, 1.01, 8), example i change the 1.01 to 1.04 , the final edges become coarser, and the evaluation results improve a little. So, can i adjust these parameters, and then get the best result comparing with other methods in my paper.
Your experiment also change the parameters as follow:
% 2 for BSDS500 and Multi-cue datasets, 4 for NYUD datasetedge = edgesNms(edge, O, 2, 5, 1.01, 8);
The parameters I used here have been used by various recent methods. Since NMS is a post-processing step in edge detection, I suggest you using this default settings for fair comparison with existing methods.
I try to modify parameters in
edge = edgesNms(edge, O, 2, 5, 1.01, 8)
, example i change the 1.01 to 1.04 , the final edges become coarser, and the evaluation results improve a little. So, can i adjust these parameters, and then get the best result comparing with other methods in my paper. Your experiment also change the parameters as follow:% 2 for BSDS500 and Multi-cue datasets, 4 for NYUD dataset
edge = edgesNms(edge, O, 2, 5, 1.01, 8);