add two tests for badly covered plotting functions

Author: wahln

test/plotting/test_computeIsoDoseContours.m

@@ -0,0 +1,25 @@
+function test_suite = test_computeIsoDoseContours
+    %The output should always be test_suite, and the function name the same as
+    %your file name
+       
+    %To collect all tests defined below, this is needed in newer Matlab
+    %versions. test_functions will collect function handles to below test
+    %functions
+    test_functions=localfunctions(); 
+    
+    % This will initialize the test suite, i.e., take the functions from
+    % test_functions, check if they contain "test", convert them into a MOxUnit
+    % Test Case, and add them to the test-runner
+    initTestSuite;
+    
+ 
+    function test_compute
+        dim = [10,13,15];
+        dose_cube = rand(dim);
+        levels = [0.1,0.5,0.95];
+        isoDoseContours = matRad_computeIsoDoseContours(dose_cube,levels);
+        assertTrue(iscell(isoDoseContours));
+        assertEqual(size(isoDoseContours),[max(dim),3])
+        sz = cellfun(@(c) size(c,1),isoDoseContours(:));
+        assertTrue(all(sz == 0 | sz == 2))
+        

test/plotting/test_computeVoiSurfaces.m

@@ -0,0 +1,23 @@
+function test_suite = test_computeVoiSurfaces
+    %The output should always be test_suite, and the function name the same as
+    %your file name
+       
+    %To collect all tests defined below, this is needed in newer Matlab
+    %versions. test_functions will collect function handles to below test
+    %functions
+    test_functions=localfunctions(); 
+    
+    % This will initialize the test suite, i.e., take the functions from
+    % test_functions, check if they contain "test", convert them into a MOxUnit
+    % Test Case, and add them to the test-runner
+    initTestSuite;
+    
+ 
+    function test_compute
+
+        testpatient = load('photons_testData.mat');
+        cst = matRad_computeAllVoiSurfaces(testpatient.ct,testpatient.cst)
+        assertTrue(isa(cst,'cell'));
+        assertTrue(all(iscell(cst(:,8))))
+        assertTrue(all(cellfun(@numel,cst(:,8)) == 2)) % Normals and Vertices        
+        assertTrue(isequal(cst(:,1:6),testpatient.cst(:,1:6)))