typo

modules/ximgproc/test/test_edgeboxes.cpp

@@ -5,7 +5,7 @@
 
 namespace opencv_test { namespace {
 
-TEST(ximpgroc_Edgeboxes, regression)
+TEST(ximgproc_Edgeboxes, regression)
 {
     //Testing Edgeboxes implementation by asking for one proposal
     //on a simple test image from the PASCAL VOC 2012 dataset.

modules/ximgproc/test/test_structured_edge_detection.cpp

@@ -5,7 +5,7 @@
 
 namespace opencv_test { namespace {
 
-TEST(ximpgroc_StructuredEdgeDetection, regression)
+TEST(ximgproc_StructuredEdgeDetection, regression)
 {
     cv::String subfolder = "cv/ximgproc/";
     cv::String dir = cvtest::TS::ptr()->get_data_path() + subfolder;

modules/ximgproc/test/test_thinning.cpp

@@ -18,7 +18,7 @@ static int createTestImage(Mat& src)
     return src_pixels;
 }
 
-TEST(ximpgroc_Thinning, simple_ZHANGSUEN)
+TEST(ximgproc_Thinning, simple_ZHANGSUEN)
 {
     Mat src;
     int src_pixels = createTestImage(src);
@@ -33,7 +33,7 @@ TEST(ximpgroc_Thinning, simple_ZHANGSUEN)
 #endif
 }
 
-TEST(ximpgroc_Thinning, simple_GUOHALL)
+TEST(ximgproc_Thinning, simple_GUOHALL)
 {
     Mat src;
     int src_pixels = createTestImage(src);

modules/ximgproc/tutorials/training.markdown

@@ -103,7 +103,7 @@ Training pipeline
 
 -#  The final step is converting trained model from Matlab binary format to YAML which you can use
     with our ocv::StructuredEdgeDetection. For this purpose run
-    opencv_contrib/ximpgroc/tutorials/scripts/modelConvert(model, "model.yml")
+    opencv_contrib/ximgproc/tutorials/scripts/modelConvert(model, "model.yml")
 
 How to use your model
 ---------------------