NormalizedHistogram implementation

src/MATLAB/NormalizedHistogram.m

+function histo = NormalizedHistogram(ImageIn,numBins,device,useMatlab)
+% Creates a normalized histogram array with numBins bins between min/max values.
+% 	If min/max is not provided, the min/max of the type is used.
+
+if (~exist('device','var') || isempty(device))
+    device = 1;
+end
+
+if (~exist('useMatlab','var') || isempty(useMatlab))
+    useMatlab = false;
+end
+
+if (~useMatlab)
+    [numCudaDevices, memoryStats] = CudaMex('DeviceCount');
+    if (numCudaDevices < 1)
+        useMatlab = true;
+    elseif (device > numCudaDevices)
+        device = numCudaDevices;
+    end
+    
+    % do something smart here if there is not enough memory...
+end
+sz = size(ImageIn);
+ImageIn_matlab = reshape(ImageIn,sz(1)*sz(2)*sz(3),1);
+
+if (useMatlab)
+        if(numBins == 0 )
+            histo = imhist(ImageIn_matlab) ./ sum(imhist(ImageIn_matlab));
+        else
+            histo = imhist(ImageIn_matlab,numBins) ./ sum(imhist(ImageIn_matlab,numBins));
+        end
+        %figure, plot(histo), title('Normalized Histogram Output from Matlab');
+else
+    histo = CudaMex('NormalizedHistogram',ImageIn,numBins,device);
+    %figure, plot(histo), title('Histogram Output from Cuda');
+end
+
+end
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