thresholdImages sensitivity>1 use multithresh

matlab/+Ensemble/setCellBoundaryEfficiency.m

@@ -20,8 +20,13 @@ if isfield(segParams,'sensitivity')
 else
     sensitivity=0.5;
 end
+if sensitivity>1
+    lm=multithresh(im,sensitivity);
+    T=lm(end);
+else
     T=adaptthresh(im,sensitivity,'NeighborhoodSize',4*floor(size(im)/16)+1,'statistic','gaussian');
     T=imdilate(T,se);
+end
 for i=1:length(Cells)
     if is3D(im)
         verts=round(Cells(i).verts);
@@ -34,7 +39,11 @@ for i=1:length(Cells)
     end
     idx(isnan(idx))=[];
     imBGmu=median(imBG(idx));
+    if sensitivity>1
+        minFG=T;
+    else
         minFG=max(T(idx));
+    end
     imBGeff=1-imBGmu/minFG; % 
     imBGeff=min(imBGeff,1);
 

matlab/+Segment/getImages.m

@@ -86,6 +86,7 @@ end
 if is3D(im)
     % 3D
     if bUseCuda
+        im=mat2gray(im);
         imx=HIP.Cuda.NLMeans(im,nlm_h,nlm_sw_radius,nlm_nh_radius,[]);
         if nlm_hpf
             imx=imx-HIP.Cuda.Gaussian(im,szFilter,1,[]);

matlab/+Segment/thresholdImages.m

@@ -11,6 +11,16 @@ else
     sensitivity=0.5;
 end
 
+if sensitivity>1 && round(sensitivity)==sensitivity
+    lm=multithresh(imLog,sensitivity)
+    bwLog=logical(imLog>lm(end));
+    bwLog=bwareaopen(bwLog,4*min_area_pixels);
+    lm=multithresh(im,sensitivity)
+    bw=logical(im>lm(end));
+    bw=bwareaopen(bw,min_area_pixels);
+    return;
+end
+
 if is3D(im)
     nsz=2*floor(size(im)/16)+1;
     T=adaptthresh(imLog,0.5,'NeighborhoodSize',nsz,'statistic','gaussian');