diff --git a/modules/text/src/erfilter.cpp b/modules/text/src/erfilter.cpp
index 78f9a3704..6de5352ad 100644
--- a/modules/text/src/erfilter.cpp
+++ b/modules/text/src/erfilter.cpp
@@ -3494,7 +3494,7 @@ bool isValidPair(Mat &grey, Mat &lab, Mat &mask, vector<Mat> &channels, vector<
 
     Point center_i(i->rect.x+i->rect.width/2, i->rect.y+i->rect.height/2);
     Point center_j(j->rect.x+j->rect.width/2, j->rect.y+j->rect.height/2);
-    float centroid_angle = (float)atan2(center_j.y-center_i.y, center_j.x-center_i.x);
+    float centroid_angle = (float)atan2((float)(center_j.y-center_i.y), (float)(center_j.x-center_i.x));
 
     int avg_width = (i->rect.width + j->rect.width) / 2;
     float norm_distance = (float)(j->rect.x-(i->rect.x+i->rect.width))/avg_width;
diff --git a/modules/xphoto/src/dct_image_denoising.cpp b/modules/xphoto/src/dct_image_denoising.cpp
index 757a7a4ee..6afa1ccb9 100644
--- a/modules/xphoto/src/dct_image_denoising.cpp
+++ b/modules/xphoto/src/dct_image_denoising.cpp
@@ -137,9 +137,9 @@ namespace xphoto
     {
         CV_Assert( src.type() == CV_MAKE_TYPE(CV_32F, 3) );
 
-        cv::Matx33f mt(cvInvSqrt(3),  cvInvSqrt(3),       cvInvSqrt(3),
-                       cvInvSqrt(2),  0.0f,              -cvInvSqrt(2),
-                       cvInvSqrt(6), -2.0f*cvInvSqrt(6),  cvInvSqrt(6));
+        cv::Matx33f mt(cvInvSqrt(3.0f),  cvInvSqrt(3.0f),       cvInvSqrt(3.0f),
+                       cvInvSqrt(2.0f),  0.0f,                 -cvInvSqrt(2.0f),
+                       cvInvSqrt(6.0f), -2.0f*cvInvSqrt(6.0f),  cvInvSqrt(6.0f));
 
         cv::transform(src, dst, mt);
 
diff --git a/modules/xphoto/src/simple_color_balance.cpp b/modules/xphoto/src/simple_color_balance.cpp
index 5298ce6e1..f755e71b1 100644
--- a/modules/xphoto/src/simple_color_balance.cpp
+++ b/modules/xphoto/src/simple_color_balance.cpp
@@ -75,7 +75,7 @@ namespace xphoto
                         ++depth;
                     int bins = 16; // number of bins at each histogram level
 
-                    int nElements = int( pow(bins, depth) );
+                    int nElements = int( pow((float)bins, (float)depth) );
                      // number of elements in histogram tree
 
                     for (size_t i = 0; i < src.size(); ++i)