--- a
+++ b/combinedDeepLearningActiveContour/functions/DLN.m
@@ -0,0 +1,26 @@
+% this function takes the image, and optimized parameters of the deep
+% learning network and outputs a mask
+
+function y=DLN(I,parameters,inputSize,hiddenSizeL1,hiddenSizeL2,outputSize,netconfig)
+% I : image to be masked
+% parameters: the learned/optimized parameters 
+% inputSize : the visible size
+% hiddenSizeL1 and L2: the size for layer 1 and 2
+% outputSize
+% netconfig
+
+patchsize=sqrt(inputSize);
+test_input=sampleIMAGES(I,patchsize);
+
+stackedAEOptTheta=parameters;
+
+[pred_y] = stackedAEPredict(stackedAEOptTheta, inputSize, hiddenSizeL1, ...
+                          outputSize, netconfig, test_input);
+
+% mask output
+y=reshape(pred_y,patchsize,patchsize,[]);
+
+scale=size(I,1)/patchsize;
+y=imresize(y,scale);
+
+end
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