diff --git a/modules/ocl/perf/perf_arithm.cpp b/modules/ocl/perf/perf_arithm.cpp
index 4f690e091233..3ef0634e70cd 100644
--- a/modules/ocl/perf/perf_arithm.cpp
+++ b/modules/ocl/perf/perf_arithm.cpp
@@ -62,7 +62,6 @@ PERFTEST(lut)
 
             gen(src, size, size, all_type[j], 0, 256);
             gen(lut, 1, 256, CV_8UC1, 0, 1);
-            dst = src;
 
             LUT(src, lut, dst);
 
@@ -233,8 +232,6 @@ PERFTEST(Mul)
 
             gen(src1, size, size, all_type[j], 0, 256);
             gen(src2, size, size, all_type[j], 0, 256);
-            dst = src1;
-            dst.setTo(0);
 
             multiply(src1, src2, dst);
 
@@ -281,8 +278,6 @@ PERFTEST(Div)
 
             gen(src1, size, size, all_type[j], 0, 256);
             gen(src2, size, size, all_type[j], 0, 256);
-            dst = src1;
-            dst.setTo(0);
 
             divide(src1, src2, dst);
 
diff --git a/modules/ocl/perf/perf_filters.cpp b/modules/ocl/perf/perf_filters.cpp
index c8c840d0e87d..a05301b34cbb 100644
--- a/modules/ocl/perf/perf_filters.cpp
+++ b/modules/ocl/perf/perf_filters.cpp
@@ -291,9 +291,7 @@ PERFTEST(GaussianBlur)
         {
             SUBTEST << size << 'x' << size << "; " << type_name[j] ;
 
-            gen(src, size, size, all_type[j], 0, 256);
-            dst = src;
-            dst.setTo(0);
+            gen(src, size, size, all_type[j], 5, 16);
 
             GaussianBlur(src, dst, Size(9, 9), 0);
 
@@ -339,39 +337,38 @@ PERFTEST(filter2D)
         {
             gen(src, size, size, all_type[j], 0, 256);
 
-            for (int ksize = 3; ksize <= 15; ksize = 2*ksize+1)
-            {
-                SUBTEST << "ksize = " << ksize << "; " << size << 'x' << size << "; " << type_name[j] ;
+            const int ksize = 3;
+
+            SUBTEST << "ksize = " << ksize << "; " << size << 'x' << size << "; " << type_name[j] ;
 
-                Mat kernel;
-                gen(kernel, ksize, ksize, CV_32FC1, 0.0, 1.0);
+            Mat kernel;
+            gen(kernel, ksize, ksize, CV_32SC1, -3.0, 3.0);
 
-				Mat dst, ocl_dst;
-				dst.setTo(0);
-                cv::filter2D(src, dst, -1, kernel);
+            Mat dst, ocl_dst;
 
-                CPU_ON;
-                cv::filter2D(src, dst, -1, kernel);
-                CPU_OFF;
+            cv::filter2D(src, dst, -1, kernel);
 
-                ocl::oclMat d_src(src), d_dst;
+            CPU_ON;
+            cv::filter2D(src, dst, -1, kernel);
+            CPU_OFF;
 
-                WARMUP_ON;
-                ocl::filter2D(d_src, d_dst, -1, kernel);
-                WARMUP_OFF;
+            ocl::oclMat d_src(src), d_dst;
+
+            WARMUP_ON;
+            ocl::filter2D(d_src, d_dst, -1, kernel);
+            WARMUP_OFF;
 
-                GPU_ON;
-                ocl::filter2D(d_src, d_dst, -1, kernel);
-                GPU_OFF;
+            GPU_ON;
+            ocl::filter2D(d_src, d_dst, -1, kernel);
+            GPU_OFF;
 
-                GPU_FULL_ON;
-                d_src.upload(src);
-                ocl::filter2D(d_src, d_dst, -1, kernel);
-                d_dst.download(ocl_dst);
-                GPU_FULL_OFF;
+            GPU_FULL_ON;
+            d_src.upload(src);
+            ocl::filter2D(d_src, d_dst, -1, kernel);
+            d_dst.download(ocl_dst);
+            GPU_FULL_OFF;
 
-                TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 1e-5);
-            }
+            TestSystem::instance().ExpectedMatNear(ocl_dst, dst, 1e-5);
 
         }
 
diff --git a/modules/ocl/perf/perf_imgproc.cpp b/modules/ocl/perf/perf_imgproc.cpp
index 18c7429e840d..0aef8b27e41f 100644
--- a/modules/ocl/perf/perf_imgproc.cpp
+++ b/modules/ocl/perf/perf_imgproc.cpp
@@ -674,8 +674,8 @@ COOR do_meanShift(int x0, int y0, uchar *sptr, uchar *dptr, int sstep, cv::Size
     coor.y = static_cast<short>(y0);
     return coor;
 }
-void meanShiftFiltering_(const Mat &src_roi, Mat &dst_roi, int sp, int sr, cv::TermCriteria crit);
-void meanShiftFiltering_(const Mat &src_roi, Mat &dst_roi, int sp, int sr, cv::TermCriteria crit)
+
+static void meanShiftFiltering_(const Mat &src_roi, Mat &dst_roi, int sp, int sr, cv::TermCriteria crit)
 {
     if( src_roi.empty() )
         CV_Error( CV_StsBadArg, "The input image is empty" );
@@ -683,6 +683,8 @@ void meanShiftFiltering_(const Mat &src_roi, Mat &dst_roi, int sp, int sr, cv::T
     if( src_roi.depth() != CV_8U || src_roi.channels() != 4 )
         CV_Error( CV_StsUnsupportedFormat, "Only 8-bit, 4-channel images are supported" );
 
+    dst_roi.create(src_roi.size(), src_roi.type());
+
     CV_Assert( (src_roi.cols == dst_roi.cols) && (src_roi.rows == dst_roi.rows) );
     CV_Assert( !(dst_roi.step & 0x3) );
 
@@ -725,9 +727,6 @@ PERFTEST(meanShiftFiltering)
         SUBTEST << size << 'x' << size << "; 8UC3 vs 8UC4";
 
         gen(src, size, size, CV_8UC4, Scalar::all(0), Scalar::all(256));
-        //gen(dst, size, size, CV_8UC4, Scalar::all(0), Scalar::all(256));
-        dst = src;
-        dst.setTo(0);
 
         cv::TermCriteria crit(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, 5, 1);
 
@@ -756,201 +755,21 @@ PERFTEST(meanShiftFiltering)
         TestSystem::instance().ExpectedMatNear(dst, ocl_dst, 0.0);
     }
 }
-///////////// meanShiftProc////////////////////////
-#if 0
-COOR do_meanShift(int x0, int y0, uchar *sptr, uchar *dptr, int sstep, cv::Size size, int sp, int sr, int maxIter, float eps, int *tab)
-{
-
-    int isr2 = sr * sr;
-    int c0, c1, c2, c3;
-    int iter;
-    uchar *ptr = NULL;
-    uchar *pstart = NULL;
-    int revx = 0, revy = 0;
-    c0 = sptr[0];
-    c1 = sptr[1];
-    c2 = sptr[2];
-    c3 = sptr[3];
-
-    // iterate meanshift procedure
-    for (iter = 0; iter < maxIter; iter++)
-    {
-        int count = 0;
-        int s0 = 0, s1 = 0, s2 = 0, sx = 0, sy = 0;
-
-        //mean shift: process pixels in window (p-sigmaSp)x(p+sigmaSp)
-        int minx = x0 - sp;
-        int miny = y0 - sp;
-        int maxx = x0 + sp;
-        int maxy = y0 + sp;
-
-        //deal with the image boundary
-        if (minx < 0)
-        {
-            minx = 0;
-        }
-
-        if (miny < 0)
-        {
-            miny = 0;
-        }
-
-        if (maxx >= size.width)
-        {
-            maxx = size.width - 1;
-        }
-
-        if (maxy >= size.height)
-        {
-            maxy = size.height - 1;
-        }
-
-        if (iter == 0)
-        {
-            pstart = sptr;
-        }
-        else
-        {
-            pstart = pstart + revy * sstep + (revx << 2); //point to the new position
-        }
-
-        ptr = pstart;
-        ptr = ptr + (miny - y0) * sstep + ((minx - x0) << 2); //point to the start in the row
-
-        for (int y = miny; y <= maxy; y++, ptr += sstep - ((maxx - minx + 1) << 2))
-        {
-            int rowCount = 0;
-            int x = minx;
-#if CV_ENABLE_UNROLLED
-
-            for (; x + 4 <= maxx; x += 4, ptr += 16)
-            {
-                int t0, t1, t2;
-                t0 = ptr[0], t1 = ptr[1], t2 = ptr[2];
-
-                if (tab[t0 - c0 + 255] + tab[t1 - c1 + 255] + tab[t2 - c2 + 255] <= isr2)
-                {
-                    s0 += t0;
-                    s1 += t1;
-                    s2 += t2;
-                    sx += x;
-                    rowCount++;
-                }
-
-                t0 = ptr[4], t1 = ptr[5], t2 = ptr[6];
-
-                if (tab[t0 - c0 + 255] + tab[t1 - c1 + 255] + tab[t2 - c2 + 255] <= isr2)
-                {
-                    s0 += t0;
-                    s1 += t1;
-                    s2 += t2;
-                    sx += x + 1;
-                    rowCount++;
-                }
-
-                t0 = ptr[8], t1 = ptr[9], t2 = ptr[10];
-
-                if (tab[t0 - c0 + 255] + tab[t1 - c1 + 255] + tab[t2 - c2 + 255] <= isr2)
-                {
-                    s0 += t0;
-                    s1 += t1;
-                    s2 += t2;
-                    sx += x + 2;
-                    rowCount++;
-                }
-
-                t0 = ptr[12], t1 = ptr[13], t2 = ptr[14];
-
-                if (tab[t0 - c0 + 255] + tab[t1 - c1 + 255] + tab[t2 - c2 + 255] <= isr2)
-                {
-                    s0 += t0;
-                    s1 += t1;
-                    s2 += t2;
-                    sx += x + 3;
-                    rowCount++;
-                }
-            }
-
-#endif
-
-            for (; x <= maxx; x++, ptr += 4)
-            {
-                int t0 = ptr[0], t1 = ptr[1], t2 = ptr[2];
-
-                if (tab[t0 - c0 + 255] + tab[t1 - c1 + 255] + tab[t2 - c2 + 255] <= isr2)
-                {
-                    s0 += t0;
-                    s1 += t1;
-                    s2 += t2;
-                    sx += x;
-                    rowCount++;
-                }
-            }
-
-            if (rowCount == 0)
-            {
-                continue;
-            }
-
-            count += rowCount;
-            sy += y * rowCount;
-        }
-
-        if (count == 0)
-        {
-            break;
-        }
-
-        int x1 = sx / count;
-        int y1 = sy / count;
-        s0 = s0 / count;
-        s1 = s1 / count;
-        s2 = s2 / count;
-
-        bool stopFlag = (x0 == x1 && y0 == y1) || (abs(x1 - x0) + abs(y1 - y0) +
-                        tab[s0 - c0 + 255] + tab[s1 - c1 + 255] + tab[s2 - c2 + 255] <= eps);
-
-        //revise the pointer corresponding to the new (y0,x0)
-        revx = x1 - x0;
-        revy = y1 - y0;
-
-        x0 = x1;
-        y0 = y1;
-        c0 = s0;
-        c1 = s1;
-        c2 = s2;
-
-        if (stopFlag)
-        {
-            break;
-        }
-    } //for iter
-
-    dptr[0] = (uchar)c0;
-    dptr[1] = (uchar)c1;
-    dptr[2] = (uchar)c2;
-    dptr[3] = (uchar)c3;
-
-    COOR coor;
-    coor.x = static_cast<short>(x0);
-    coor.y = static_cast<short>(y0);
-    return coor;
-}
-#endif
 
 void meanShiftProc_(const Mat &src_roi, Mat &dst_roi, Mat &dstCoor_roi, int sp, int sr, cv::TermCriteria crit)
 {
-
     if (src_roi.empty())
     {
         CV_Error(CV_StsBadArg, "The input image is empty");
     }
-
     if (src_roi.depth() != CV_8U || src_roi.channels() != 4)
     {
         CV_Error(CV_StsUnsupportedFormat, "Only 8-bit, 4-channel images are supported");
     }
 
+    dst_roi.create(src_roi.size(), src_roi.type());
+    dstCoor_roi.create(src_roi.size(), CV_16SC2);
+
     CV_Assert((src_roi.cols == dst_roi.cols) && (src_roi.rows == dst_roi.rows) &&
               (src_roi.cols == dstCoor_roi.cols) && (src_roi.rows == dstCoor_roi.rows));
     CV_Assert(!(dstCoor_roi.step & 0x3));
@@ -1008,8 +827,6 @@ PERFTEST(meanShiftProc)
         SUBTEST << size << 'x' << size << "; 8UC4 and CV_16SC2 ";
 
         gen(src, size, size, CV_8UC4, Scalar::all(0), Scalar::all(256));
-        gen(dst[0], size, size, CV_8UC4, Scalar::all(0), Scalar::all(256));
-        gen(dst[1], size, size, CV_16SC2, Scalar::all(0), Scalar::all(256));
 
         meanShiftProc_(src, dst[0], dst[1], 5, 6, crit);
 
diff --git a/modules/ocl/perf/perf_opticalflow.cpp b/modules/ocl/perf/perf_opticalflow.cpp
index 9887970204b7..97283b206cb6 100644
--- a/modules/ocl/perf/perf_opticalflow.cpp
+++ b/modules/ocl/perf/perf_opticalflow.cpp
@@ -48,8 +48,8 @@
 ///////////// PyrLKOpticalFlow ////////////////////////
 PERFTEST(PyrLKOpticalFlow)
 {
-    std::string images1[] = {"rubberwhale1.png", "aloeL.jpg"};
-    std::string images2[] = {"rubberwhale2.png", "aloeR.jpg"};
+    std::string images1[] = {"rubberwhale1.png", "basketball1.png"};
+    std::string images2[] = {"rubberwhale2.png", "basketball2.png"};
 
     for (size_t i = 0; i < sizeof(images1) / sizeof(std::string); i++)
     {