Merge remote-tracking branch 'origin/2.4' into merge-2.4

Conflicts:
	modules/core/include/opencv2/core/types_c.h
	modules/gpu/src/cuda/imgproc.cu
	modules/gpu/src/cuda/safe_call.hpp
	modules/gpu/src/error.cpp
	modules/gpu/src/imgproc.cpp
	modules/imgproc/src/distransform.cpp
	modules/imgproc/src/shapedescr.cpp
	modules/python/src2/cv2.cpp
	modules/python/src2/cv2.cv.hpp

modules/imgproc/src/distransform.cpp

@@ -744,6 +744,16 @@ void cv::distanceTransform( InputArray _src, OutputArray _dst, OutputArray _labe
 
         if( labelType == CV_DIST_LABEL_CCOMP )
         {
+        #if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
+            if( maskSize == CV_DIST_MASK_5 )
+            {
+                IppiSize roi = { src->cols, src->rows };
+                if( ippiDistanceTransform_5x5_8u32f_C1R(
+                        src->data.ptr, src->step,
+                        dst->data.fl, dst->step, roi, _mask) >= 0 )
+                    return;
+            }
+        #endif
             Mat zpix = src == 0;
             connectedComponents(zpix, labels, 8, CV_32S);
         }

modules/imgproc/src/histogram.cpp

@@ -266,6 +266,8 @@ public:
     }
 
 private:
+    calcHist1D_Invoker operator=(const calcHist1D_Invoker&);
+
     T* p_[one];
     uchar* mask_;
     int step_[one];
@@ -338,6 +340,8 @@ public:
     }
 
 private:
+    calcHist2D_Invoker operator=(const calcHist2D_Invoker&);
+
     T* p_[two];
     uchar* mask_;
     int step_[two];
@@ -428,6 +432,8 @@ public:
     }
 
 private:
+    calcHist3D_Invoker operator=(const calcHist3D_Invoker&);
+
     T* p_[three];
     uchar* mask_;
     int step_[three];
@@ -767,8 +773,7 @@ calcHist_( std::vector<uchar*>& _ptrs, const std::vector<int>& _deltas,
 #ifdef HAVE_TBB
             calcHist1D_Invoker<T> body(_ptrs, _deltas, hist, _uniranges, size[0], dims, imsize);
             parallel_for(BlockedRange(0, imsize.height), body);
-            return;
-#endif
+#else
             double a = uniranges[0], b = uniranges[1];
             int sz = size[0], d0 = deltas[0], step0 = deltas[1];
             const T* p0 = (const T*)ptrs[0];
@@ -791,14 +796,15 @@ calcHist_( std::vector<uchar*>& _ptrs, const std::vector<int>& _deltas,
                                 ((int*)H)[idx]++;
                         }
             }
+#endif //HAVE_TBB
+            return;
         }
         else if( dims == 2 )
         {
 #ifdef HAVE_TBB
             calcHist2D_Invoker<T> body(_ptrs, _deltas, hist, _uniranges, size, dims, imsize, hstep);
             parallel_for(BlockedRange(0, imsize.height), body);
-            return;
-#endif
+#else
             double a0 = uniranges[0], b0 = uniranges[1], a1 = uniranges[2], b1 = uniranges[3];
             int sz0 = size[0], sz1 = size[1];
             int d0 = deltas[0], step0 = deltas[1],
@@ -827,6 +833,8 @@ calcHist_( std::vector<uchar*>& _ptrs, const std::vector<int>& _deltas,
                                 ((int*)(H + hstep0*idx0))[idx1]++;
                         }
             }
+#endif //HAVE_TBB
+            return;
         }
         else if( dims == 3 )
         {

modules/imgproc/src/shapedescr.cpp

@@ -381,7 +381,7 @@ cv::RotatedRect cv::fitEllipse( InputArray _points )
     // New fitellipse algorithm, contributed by Dr. Daniel Weiss
     Point2f c(0,0);
     double gfp[5], rp[5], t;
-    const double min_eps = 1e-6;
+    const double min_eps = 1e-8;
     bool is_float = depth == CV_32F;
     const Point* ptsi = (const Point*)points.data;
     const Point2f* ptsf = (const Point2f*)points.data;

modules/imgproc/src/sumpixels.cpp

@@ -41,6 +41,9 @@
 //M*/
 
 #include "precomp.hpp"
+#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
+static IppStatus sts = ippInit();
+#endif
 
 namespace cv
 {
@@ -234,6 +237,53 @@ void cv::integral( InputArray _src, OutputArray _sum, OutputArray _sqsum, Output
     if( sdepth <= 0 )
         sdepth = depth == CV_8U ? CV_32S : CV_64F;
     sdepth = CV_MAT_DEPTH(sdepth);
+
+#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
+	if( ( depth == CV_8U ) && ( !_tilted.needed() ) )
+	{
+		if( sdepth == CV_32F )
+		{
+			if( cn == 1 )
+			{
+				IppiSize srcRoiSize = ippiSize( src.cols, src.rows );
+				_sum.create( isize, CV_MAKETYPE( sdepth, cn ) );
+				sum = _sum.getMat();
+				if( _sqsum.needed() )
+				{
+					_sqsum.create( isize, CV_MAKETYPE( CV_64F, cn ) );
+					sqsum = _sqsum.getMat();
+					ippiSqrIntegral_8u32f64f_C1R( (const Ipp8u*)src.data, src.step, (Ipp32f*)sum.data, sum.step, (Ipp64f*)sqsum.data, sqsum.step, srcRoiSize, 0, 0 );
+				}
+				else
+				{
+					ippiIntegral_8u32f_C1R( (const Ipp8u*)src.data, src.step, (Ipp32f*)sum.data, sum.step, srcRoiSize, 0 );
+				}
+				return;
+			}
+		}
+		if( sdepth == CV_32S )
+		{
+			if( cn == 1 )
+			{
+				IppiSize srcRoiSize = ippiSize( src.cols, src.rows );
+				_sum.create( isize, CV_MAKETYPE( sdepth, cn ) );
+				sum = _sum.getMat();
+				if( _sqsum.needed() )
+				{
+					_sqsum.create( isize, CV_MAKETYPE( CV_64F, cn ) );
+					sqsum = _sqsum.getMat();
+					ippiSqrIntegral_8u32s64f_C1R( (const Ipp8u*)src.data, src.step, (Ipp32s*)sum.data, sum.step, (Ipp64f*)sqsum.data, sqsum.step, srcRoiSize, 0, 0 );
+				}
+				else
+				{
+					ippiIntegral_8u32s_C1R( (const Ipp8u*)src.data, src.step, (Ipp32s*)sum.data, sum.step, srcRoiSize, 0 );
+				}
+				return;
+			}
+		}
+	}
+#endif
+
     _sum.create( isize, CV_MAKETYPE(sdepth, cn) );
     sum = _sum.getMat();