Merge branch 'add-new-google-tests'

Author: mabean

test/test_skeleton.cpp

@@ -60,3 +60,93 @@ TEST(skeleton, resize_matches_opencv)
     // std::cout << "Difference:\n" << reference - result << std::endl;
     EXPECT_LT(maxDifference(reference, result), 2);
 }
+
+TEST(skeleton, 2_plus_2_equals_4)
+{
+   EXPECT_EQ(4, 2 + 2);
+}
+
+TEST(skeleton, same_sizes)
+{
+	Mat input(10, 10, CV_8UC3);
+	
+    randu(input, Scalar::all(0), Scalar::all(255));
+	Mat dst(10, 10, CV_8UC3);
+	ConvertColor_BGR2GRAY_BT709(input,dst);
+	Mat final(10, 10, CV_8UC3);
+	GuoHallThinning(dst,final);
+	EXPECT_EQ(input.cols,final.cols);
+	EXPECT_EQ(input.rows,final.rows);
+
+}
+
+TEST(skeleton, resizefunc_size_test)
+{
+	Mat input(10, 10, CV_8UC3);
+	randu(input, Scalar::all(0), Scalar::all(255));
+	ConvertColor_BGR2GRAY_BT709(input, input);
+	Mat final(input.cols/2, input.rows/2, CV_8UC3);
+	Size finalsize(input.cols / 2, input.rows / 2);
+	ImageResize(input, final, finalsize);
+	EXPECT_EQ(input.cols / 2,final.cols);
+	EXPECT_EQ(input.rows / 2,final.rows);
+}
+
+TEST(skeleton,resizefunc_color_test)
+{
+	cv::Mat input(100, 100, CV_8UC1);
+	input.setTo(Scalar(5));
+	cv::Mat final(input.cols/2,input.rows/2,CV_8UC1);
+	cv::Size finalsize(input.cols/2,input.rows/2);
+	ImageResize(input,final,finalsize);
+	bool flag = true;
+	for(int i = 0; i < final.rows; i++)
+		for(int j = 0; j < final.cols; j++)
+		{
+			if (final.at<uchar>(i,j) != 5)
+				flag = false;
+		}
+	EXPECT_EQ(true,flag);
+}
+
+TEST(skeleton, bgr2grayfunc_color_test)
+{
+	cv::Scalar col(100,150,200);
+	cv::Mat input(100,100,CV_8UC3,col);
+	cv::Mat final(100,100,CV_8UC1);
+	ConvertColor_BGR2GRAY_BT709(input, final);
+	bool flag = true;
+	int val = final.at<uchar>(0,0);
+	for(int i = 0; i < final.rows; i++)
+		for(int j = 0; j < final.cols; j++)
+			if (final.at<uchar>(i,j) != val)
+				flag = false;
+	EXPECT_EQ(true,flag);
+}
+
+TEST(skeleton, guahall_correct_work_test)
+{
+	cv::Mat input(100,100,CV_8UC1);
+	randu(input, Scalar::all(0), Scalar::all(255));
+
+	cv::Mat inv(input.rows, input.cols,CV_8UC1);
+	cv::threshold(input, inv, 128, 255, cv::THRESH_BINARY_INV);
+
+	cv::Mat gh(input.rows, input.cols,CV_8UC1);
+	GuoHallThinning(inv, gh);
+
+	int blackpixelsinv = 0;
+	int blackpixelsgh= 0;
+
+	for(int i = 0; i < inv.rows; i++)
+		for(int j = 0; j < inv.cols; j++)
+			if (inv.at<uchar>(i,j) == 0)
+				blackpixelsinv++;
+	for(int i = 0; i < gh.rows; i++)
+		for(int j = 0; j < gh.cols; j++)
+			if (gh.at<uchar>(i,j) == 0)
+				blackpixelsgh++;
+
+	EXPECT_EQ(true, blackpixelsgh >= blackpixelsinv);
+
+}