Fixed several issues found by static analysis

modules/calib3d/src/fisheye.cpp

@@ -42,6 +42,7 @@
 
 #include "precomp.hpp"
 #include "fisheye.hpp"
+#include <limits>
 
 namespace cv { namespace
 {
@@ -760,7 +761,7 @@ double cv::fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArray
 
 
     //-------------------------------Optimization
-    for(int iter = 0; ; ++iter)
+    for(int iter = 0; iter <= std::numeric_limits<int>::max(); ++iter)
     {
         if ((criteria.type == 1 && iter >= criteria.maxCount)  ||
             (criteria.type == 2 && change <= criteria.epsilon) ||

modules/core/src/command_line_parser.cpp

@@ -276,10 +276,10 @@ CommandLineParser& CommandLineParser::operator = (const CommandLineParser& parse
 {
     if( this != &parser )
     {
+        CV_XADD(&parser.impl->refcount, 1);
         if(CV_XADD(&impl->refcount, -1) == 1)
             delete impl;
         impl = parser.impl;
-        CV_XADD(&impl->refcount, 1);
     }
     return *this;
 }

modules/core/src/copy.cpp

@@ -283,8 +283,9 @@ void Mat::copyTo( OutputArray _dst ) const
         }
         _dst.create( dims, size.p, type() );
         UMat dst = _dst.getUMat();
-
+        CV_Assert(dst.u != NULL);
         size_t i, sz[CV_MAX_DIM] = {0}, dstofs[CV_MAX_DIM], esz = elemSize();
+        CV_Assert(dims >= 0 && dims < CV_MAX_DIM);
         for( i = 0; i < (size_t)dims; i++ )
             sz[i] = size.p[i];
         sz[dims-1] *= esz;

modules/core/src/datastructs.cpp

@@ -2547,6 +2547,7 @@ cvSetAdd( CvSet* set, CvSetElem* element, CvSetElem** inserted_element )
 CV_IMPL void
 cvSetRemove( CvSet* set, int index )
 {
+    CV_Assert(set != NULL);
     CvSetElem* elem = cvGetSetElem( set, index );
     if( elem )
         cvSetRemoveByPtr( set, elem );

modules/core/src/matrix.cpp

@@ -1129,7 +1129,7 @@ Mat Mat::diag(const Mat& d)
 
 int Mat::checkVector(int _elemChannels, int _depth, bool _requireContinuous) const
 {
-    return (depth() == _depth || _depth <= 0) &&
+    return data && (depth() == _depth || _depth <= 0) &&
         (isContinuous() || !_requireContinuous) &&
         ((dims == 2 && (((rows == 1 || cols == 1) && channels() == _elemChannels) ||
                         (cols == _elemChannels && channels() == 1))) ||

modules/core/src/persistence.cpp

@@ -804,7 +804,7 @@ cvGetFileNode( CvFileStorage* fs, CvFileNode* _map_node,
 
         if( !map_node )
             map_node = (CvFileNode*)cvGetSeqElem( fs->roots, k );
-
+        CV_Assert(map_node != NULL);
         if( !CV_NODE_IS_MAP(map_node->tag) )
         {
             if( (!CV_NODE_IS_SEQ(map_node->tag) || map_node->data.seq->total != 0) &&
@@ -6777,6 +6777,7 @@ cvLoad( const char* filename, CvMemStorage* memstorage,
             CvSeqReader reader;
 
             node = (CvFileNode*)cvGetSeqElem( (*fs)->roots, k );
+            CV_Assert(node != NULL);
             if( !CV_NODE_IS_MAP( node->tag ))
                 return 0;
             seq = node->data.seq;

modules/core/src/system.cpp

@@ -1192,11 +1192,14 @@ Mutex::Mutex(const Mutex& m)
 }
 
 Mutex& Mutex::operator = (const Mutex& m)
+{
+    if (this != &m)
     {
         CV_XADD(&m.impl->refcount, 1);
         if( CV_XADD(&impl->refcount, -1) == 1 )
             delete impl;
         impl = m.impl;
+    }
     return *this;
 }
 

modules/core/src/trace.cpp

@@ -225,6 +225,11 @@ Region::LocationExtraData::LocationExtraData(const LocationStaticStorage& locati
         ittHandle_name = __itt_string_handle_create(location.name);
         ittHandle_filename = __itt_string_handle_create(location.filename);
     }
+    else
+    {
+        ittHandle_name = 0;
+        ittHandle_filename = 0;
+    }
 #endif
 }
 
@@ -1019,6 +1024,10 @@ struct TraceArg::ExtraData
             //     Consecutive calls to __itt_string_handle_create with the same name return the same value.
             ittHandle_name = __itt_string_handle_create(arg.name);
         }
+        else
+        {
+            ittHandle_name = 0;
+        }
 #endif
     }
 };

modules/dnn/src/dnn.cpp

@@ -317,9 +317,9 @@ private:
 
 struct LayerData
 {
-    LayerData() {}
+    LayerData() : id(-1), flag(0) {}
     LayerData(int _id, const String &_name, const String &_type, LayerParams &_params)
-        : id(_id), name(_name), type(_type), params(_params)
+        : id(_id), name(_name), type(_type), params(_params), flag(0)
     {
         //add logging info
         params.name = name;

modules/dnn/src/layers/convolution_layer.cpp

@@ -287,7 +287,10 @@ public:
         bool is1x1_;
         bool useAVX2;
 
-        ParallelConv() {}
+        ParallelConv()
+            : input_(0), weights_(0), output_(0), ngroups_(0), nstripes_(0),
+              is1x1_(false), useAVX2(false)
+        {}
 
         static void run( const Mat& input, Mat& output, const Mat& weights,
                          const std::vector<float>& biasvec,
@@ -921,7 +924,11 @@ public:
         int nstripes;
         bool is1x1;
 
-        Col2ImInvoker() {}
+        Col2ImInvoker()
+            : data_col(0), biasvec(0), channels(0), height(0), width(0),
+              kernel_h(0), kernel_w(0), pad_h(0), pad_w(0), stride_h(0), stride_w(0), data_im(0),
+              height_col(0), width_col(0), nstripes(0), is1x1(0)
+        {}
 
         static void run(const float* data_col,
                         int channels, int height, int width,

modules/dnn/src/layers/elementwise_layers.cpp

@@ -105,7 +105,7 @@ public:
         }
     };
 
-    ElementWiseLayer(const Func &f=Func()) { func = f; }
+    ElementWiseLayer(const Func &f=Func()) : run_parallel(false) { func = f; }
 
     virtual bool supportBackend(int backendId)
     {

modules/dnn/src/layers/permute_layer.cpp

@@ -83,10 +83,10 @@ public:
     }
 
     PermuteLayerImpl(const LayerParams &params)
+        : _count(0), _needsPermute(false), _numAxes(0)
     {
         if (!params.has("order"))
         {
-            _needsPermute = false;
             return;
         }
 

modules/dnn/src/layers/prior_box_layer.cpp

@@ -160,6 +160,7 @@ public:
     }
 
     PriorBoxLayerImpl(const LayerParams &params)
+        : _boxWidth(0), _boxHeight(0)
     {
         setParamsFrom(params);
         _minSize = getParameter<unsigned>(params, "min_size");

modules/dnn/src/layers/recurrent_layers.cpp

@@ -94,6 +94,7 @@ class LSTMLayerImpl : public LSTMLayer
 public:
 
     LSTMLayerImpl(const LayerParams& params)
+        : numTimeStamps(0), numSamples(0)
     {
         setParamsFrom(params);
         type = "LSTM";
@@ -307,6 +308,7 @@ class RNNLayerImpl : public RNNLayer
 public:
 
     RNNLayerImpl(const LayerParams& params)
+        : numX(0), numH(0), numO(0), numSamples(0), numTimestamps(0), numSamplesTotal(0), dtype(0)
     {
         setParamsFrom(params);
         type = "RNN";

modules/dnn/src/torch/THDiskFile.cpp

@@ -556,6 +556,8 @@ static long THDiskFile_readString(THFile *self, const char *format, char **str_)
         total += TBRS_BSZ;
         p = (char*)THRealloc(p, total);
       }
+      if (p == NULL)
+        THError("read error: failed to allocate buffer");
       if (fgets(p+pos, total-pos, dfself->handle) == NULL) /* eof? */
       {
         if(pos == 0L)

modules/dnn/src/torch/torch_importer.cpp

@@ -876,7 +876,7 @@ struct TorchImporter : public ::cv::dnn::Importer
                 return mergeId;
             }
             else if (module->thName == "ConcatTable") {
-                int newId, splitId;
+                int newId = -1, splitId;
                 LayerParams splitParams;
 
                 splitId = net.addLayer(generateLayerName("torchSplit"), "Split", splitParams);

modules/features2d/src/brisk.cpp

@@ -720,6 +720,7 @@ BRISK_Impl::computeDescriptorsAndOrOrientation(InputArray _image, InputArray _ma
         const BriskLongPair* max = longPairs_ + noLongPairs_;
         for (BriskLongPair* iter = longPairs_; iter < max; ++iter)
         {
+          CV_Assert(iter->i < points_ && iter->j < points_);
           t1 = *(_values + iter->i);
           t2 = *(_values + iter->j);
           const int delta_t = (t1 - t2);

modules/flann/include/opencv2/flann/flann_base.hpp

@@ -80,9 +80,11 @@ NNIndex<Distance>* load_saved_index(const Matrix<typename Distance::ElementType>
     }
     IndexHeader header = load_header(fin);
     if (header.data_type != Datatype<ElementType>::type()) {
+        fclose(fin);
         throw FLANNException("Datatype of saved index is different than of the one to be created.");
     }
     if ((size_t(header.rows) != dataset.rows)||(size_t(header.cols) != dataset.cols)) {
+        fclose(fin);
         throw FLANNException("The index saved belongs to a different dataset");
     }
 

modules/highgui/src/window_gtk.cpp

@@ -1617,6 +1617,10 @@ CV_IMPL void cvSetTrackbarPos( const char* trackbar_name, const char* window_nam
         if( pos > trackbar->maxval )
             pos = trackbar->maxval;
     }
+    else
+    {
+        CV_ERROR( CV_StsNullPtr, "No trackbar found" );
+    }
 
     CV_LOCK_MUTEX();
 

modules/imgcodecs/src/bitstrm.cpp

@@ -76,6 +76,7 @@ RBaseStream::RBaseStream()
 {
     m_start = m_end = m_current = 0;
     m_file = 0;
+    m_block_pos = 0;
     m_block_size = BS_DEF_BLOCK_SIZE;
     m_is_opened = false;
     m_allocated = false;

modules/imgcodecs/src/grfmt_exr.cpp

@@ -208,9 +208,12 @@ bool  ExrDecoder::readData( Mat& img )
 
     xstep = m_native_depth ? 4 : 1;
 
+    AutoBuffer<char> copy_buffer;
+
     if( !m_native_depth || (!color && m_iscolor ))
     {
-        buffer = (char *)new float[ m_width * 3 ];
+        copy_buffer.allocate(sizeof(float) * m_width * 3);
+        buffer = copy_buffer;
         ystep = 0;
     }
     else
@@ -388,11 +391,6 @@ bool  ExrDecoder::readData( Mat& img )
 
     close();
 
-    if( !m_native_depth || (!color && m_iscolor ))
-    {
-        delete[] buffer;
-    }
-
     return result;
 }
 

modules/imgcodecs/src/grfmt_jpeg.cpp

@@ -364,7 +364,7 @@ int my_jpeg_load_dht (struct jpeg_decompress_struct *info, unsigned char *dht,
 
        if (index & 0x10)
        {
-           index -= 0x10;
+           index &= ~0x10;
            hufftbl = &ac_tables[index];
        }
        else

modules/imgproc/src/contours.cpp

@@ -525,7 +525,7 @@ icvFetchContour( schar                  *ptr,
     int             prev_s = -1, s, s_end;
     int             method = _method - 1;
 
-    assert( (unsigned) _method <= CV_CHAIN_APPROX_SIMPLE );
+    CV_DbgAssert( (unsigned) _method <= CV_CHAIN_APPROX_SIMPLE );
 
     /* initialize local state */
     CV_INIT_3X3_DELTAS( deltas, step, 1 );
@@ -557,6 +557,7 @@ icvFetchContour( schar                  *ptr,
     else
     {
         i3 = i0;
+        CV_Assert(i3 != NULL);
         prev_s = s ^ 4;
 
         /* follow border */
@@ -568,6 +569,7 @@ icvFetchContour( schar                  *ptr,
             while( s < MAX_SIZE - 1 )
             {
                 i4 = i3 + deltas[++s];
+                CV_Assert(i4 != NULL);
                 if( *i4 != 0 )
                     break;
             }
@@ -615,7 +617,7 @@ icvFetchContour( schar                  *ptr,
     if( _method != CV_CHAIN_CODE )
         cvBoundingRect( contour, 1 );
 
-    assert( (writer.seq->total == 0 && writer.seq->first == 0) ||
+    CV_DbgAssert( (writer.seq->total == 0 && writer.seq->first == 0) ||
             writer.seq->total > writer.seq->first->count ||
             (writer.seq->first->prev == writer.seq->first &&
              writer.seq->first->next == writer.seq->first) );
@@ -638,7 +640,7 @@ icvTraceContour( schar *ptr, int step, schar *stop_ptr, int is_hole )
     CV_INIT_3X3_DELTAS( deltas, step, 1 );
     memcpy( deltas + 8, deltas, 8 * sizeof( deltas[0] ));
 
-    assert( (*i0 & -2) != 0 );
+    CV_DbgAssert( (*i0 & -2) != 0 );
 
     s_end = s = is_hole ? 0 : 4;
 
@@ -650,6 +652,7 @@ icvTraceContour( schar *ptr, int step, schar *stop_ptr, int is_hole )
     while( *i1 == 0 && s != s_end );
 
     i3 = i0;
+    CV_Assert(i3 != NULL);
 
     /* check single pixel domain */
     if( s != s_end )
@@ -662,6 +665,7 @@ icvTraceContour( schar *ptr, int step, schar *stop_ptr, int is_hole )
             while( s < MAX_SIZE - 1 )
             {
                 i4 = i3 + deltas[++s];
+                CV_Assert(i4 != NULL);
                 if( *i4 != 0 )
                     break;
             }
@@ -693,8 +697,8 @@ icvFetchContourEx( schar*               ptr,
     int         prev_s = -1, s, s_end;
     int         method = _method - 1;
 
-    assert( (unsigned) _method <= CV_CHAIN_APPROX_SIMPLE );
+    CV_DbgAssert( (unsigned) _method <= CV_CHAIN_APPROX_SIMPLE );
-    assert( 1 < nbd && nbd < 128 );
+    CV_DbgAssert( 1 < nbd && nbd < 128 );
 
     /* initialize local state */
     CV_INIT_3X3_DELTAS( deltas, step, 1 );
@@ -799,7 +803,7 @@ icvFetchContourEx( schar*               ptr,
     if( _method != CV_CHAIN_CODE )
         ((CvContour*)contour)->rect = rect;
 
-    assert( (writer.seq->total == 0 && writer.seq->first == 0) ||
+    CV_DbgAssert( (writer.seq->total == 0 && writer.seq->first == 0) ||
             writer.seq->total > writer.seq->first->count ||
             (writer.seq->first->prev == writer.seq->first &&
              writer.seq->first->next == writer.seq->first) );
@@ -882,7 +886,7 @@ icvFetchContourEx_32s( int*                 ptr,
     const int   nbd0 = ccomp_val | new_flag;
     const int   nbd1 = nbd0 | right_flag;
 
-    assert( (unsigned) _method <= CV_CHAIN_APPROX_SIMPLE );
+    CV_DbgAssert( (unsigned) _method <= CV_CHAIN_APPROX_SIMPLE );
 
     /* initialize local state */
     CV_INIT_3X3_DELTAS( deltas, step, 1 );
@@ -984,7 +988,7 @@ icvFetchContourEx_32s( int*                 ptr,
     if( _method != CV_CHAIN_CODE )
         ((CvContour*)contour)->rect = rect;
 
-    assert( (writer.seq->total == 0 && writer.seq->first == 0) ||
+    CV_DbgAssert( (writer.seq->total == 0 && writer.seq->first == 0) ||
            writer.seq->total > writer.seq->first->count ||
            (writer.seq->first->prev == writer.seq->first &&
             writer.seq->first->next == writer.seq->first) );

modules/imgproc/src/emd.cpp

@@ -773,6 +773,7 @@ icvNewSolution( CvEMDState * state )
     }
 
     /* remove the leaving basic variable */
+    CV_Assert(leave_x != NULL);
     i = leave_x->i;
     j = leave_x->j;
     state->is_x[i][j] = 0;

modules/imgproc/src/filter.cpp

@@ -70,16 +70,10 @@ BaseFilter::~BaseFilter() {}
 void BaseFilter::reset() {}
 
 FilterEngine::FilterEngine()
+    : srcType(-1), dstType(-1), bufType(-1), maxWidth(0), wholeSize(-1, -1), dx1(0), dx2(0),
+      rowBorderType(BORDER_REPLICATE), columnBorderType(BORDER_REPLICATE),
+      borderElemSize(0), bufStep(0), startY(0), startY0(0), endY(0), rowCount(0), dstY(0)
 {
-    srcType = dstType = bufType = -1;
-    rowBorderType = columnBorderType = BORDER_REPLICATE;
-    bufStep = startY = startY0 = endY = rowCount = dstY = 0;
-    maxWidth = 0;
-
-    wholeSize = Size(-1,-1);
-    dx1 = 0;
-    borderElemSize = 0;
-    dx2 = 0;
 }
 
 
@@ -89,12 +83,10 @@ FilterEngine::FilterEngine( const Ptr<BaseFilter>& _filter2D,
                             int _srcType, int _dstType, int _bufType,
                             int _rowBorderType, int _columnBorderType,
                             const Scalar& _borderValue )
+    : srcType(-1), dstType(-1), bufType(-1), maxWidth(0), wholeSize(-1, -1), dx1(0), dx2(0),
+      rowBorderType(BORDER_REPLICATE), columnBorderType(BORDER_REPLICATE),
+      borderElemSize(0), bufStep(0), startY(0), startY0(0), endY(0), rowCount(0), dstY(0)
 {
-    startY0 = 0;
-    endY = 0;
-    dstY = 0;
-    dx2 = 0;
-    rowCount = 0;
     init(_filter2D, _rowFilter, _columnFilter, _srcType, _dstType, _bufType,
          _rowBorderType, _columnBorderType, _borderValue);
 }
@@ -194,6 +186,7 @@ int FilterEngine::start(const Size &_wholeSize, const Size &sz, const Point &ofs
         srcRow.resize(esz*(maxWidth + ksize.width - 1));
         if( columnBorderType == BORDER_CONSTANT )
         {
+            CV_Assert(constVal != NULL);
             constBorderRow.resize(getElemSize(bufType)*(maxWidth + ksize.width - 1 + VEC_ALIGN));
             uchar *dst = alignPtr(&constBorderRow[0], VEC_ALIGN), *tdst;
             int n = (int)constBorderValue.size(), N;
@@ -227,6 +220,7 @@ int FilterEngine::start(const Size &_wholeSize, const Size &sz, const Point &ofs
     {
         if( rowBorderType == BORDER_CONSTANT )
         {
+            CV_Assert(constVal != NULL);
             int nr = isSeparable() ? 1 : (int)rows.size();
             for( i = 0; i < nr; i++ )
             {

modules/imgproc/src/lsd.cpp

@@ -1000,6 +1000,7 @@ double LineSegmentDetectorImpl::rect_nfa(const rect& rec) const
             }
         }
     }
+    CV_Assert(leftmost != NULL);
     leftmost->taken = true;
 
     // Find rightmost untaken point;
@@ -1018,6 +1019,7 @@ double LineSegmentDetectorImpl::rect_nfa(const rect& rec) const
             }
         }
     }
+    CV_Assert(rightmost != NULL);
     rightmost->taken = true;
 
     // Find last untaken point;
@@ -1036,6 +1038,7 @@ double LineSegmentDetectorImpl::rect_nfa(const rect& rec) const
             }
         }
     }
+    CV_Assert(tailp != NULL);
     tailp->taken = true;
 
     double flstep = (min_y->p.y != leftmost->p.y) ?

modules/imgproc/src/smooth.cpp

@@ -2507,6 +2507,7 @@ medianBlur_8u_O1( const Mat& _src, Mat& _dst, int ksize )
     h_fine[ 16 * (n*(16*c+(x>>4)) + j) + (x & 0xF) ] op
 
     int cn = _dst.channels(), m = _dst.rows, r = (ksize-1)/2;
+    CV_Assert(cn > 0 && cn <= 4);
     size_t sstep = _src.step, dstep = _dst.step;
     Histogram CV_DECL_ALIGNED(16) H[4];
     HT CV_DECL_ALIGNED(16) luc[4][16];
@@ -2712,6 +2713,7 @@ medianBlur_8u_Om( const Mat& _src, Mat& _dst, int m )
     int     src_step = (int)_src.step, dst_step = (int)_dst.step;
     int     cn = _src.channels();
     const uchar*  src_max = src + size.height*src_step;
+    CV_Assert(cn > 0 && cn <= 4);
 
     #define UPDATE_ACC01( pix, cn, op ) \
     {                                   \

modules/imgproc/src/templmatch.cpp

@@ -888,12 +888,14 @@ static void common_matchTemplate( Mat& img, Mat& templ, Mat& result, int method,
         templNorm = std::sqrt(templNorm);
         templNorm /= std::sqrt(invArea); // care of accuracy here
 
+        CV_Assert(sqsum.data != NULL);
         q0 = (double*)sqsum.data;
         q1 = q0 + templ.cols*cn;
         q2 = (double*)(sqsum.data + templ.rows*sqsum.step);
         q3 = q2 + templ.cols*cn;
     }
 
+    CV_Assert(sum.data != NULL);
     double* p0 = (double*)sum.data;
     double* p1 = p0 + templ.cols*cn;
     double* p2 = (double*)(sum.data + templ.rows*sum.step);

modules/ml/src/tree.cpp

@@ -1442,6 +1442,7 @@ float DTreesImpl::predictTrees( const Range& range, const Mat& sample, int flags
                             CV_Error( CV_StsBadArg,
                                      "one of input categorical variable is not an integer" );
 
+                        CV_Assert(cmap != NULL);
                         while( a < b )
                         {
                             c = (a + b) >> 1;

modules/objdetect/src/cascadedetect.cpp

@@ -316,7 +316,7 @@ protected:
     }
 };
 //new grouping function with using meanshift
-static void groupRectangles_meanshift(std::vector<Rect>& rectList, double detectThreshold, std::vector<double>* foundWeights,
+static void groupRectangles_meanshift(std::vector<Rect>& rectList, double detectThreshold, std::vector<double>& foundWeights,
                                       std::vector<double>& scales, Size winDetSize)
 {
     int detectionCount = (int)rectList.size();
@@ -326,14 +326,13 @@ static void groupRectangles_meanshift(std::vector<Rect>& rectList, double detect
 
     for (int i=0; i < detectionCount; i++)
     {
-        hitWeights[i] = (*foundWeights)[i];
+        hitWeights[i] = foundWeights[i];
         hitCenter = (rectList[i].tl() + rectList[i].br())*(0.5); //center of rectangles
         hits[i] = Point3d(hitCenter.x, hitCenter.y, std::log(scales[i]));
     }
 
     rectList.clear();
-    if (foundWeights)
+    foundWeights.clear();
-        foundWeights->clear();
 
     double logZ = std::log(1.3);
     Point3d smothing(8, 16, logZ);
@@ -355,7 +354,7 @@ static void groupRectangles_meanshift(std::vector<Rect>& rectList, double detect
         if (resultWeights[i] > detectThreshold)
         {
             rectList.push_back(resultRect);
-            foundWeights->push_back(resultWeights[i]);
+            foundWeights.push_back(resultWeights[i]);
         }
     }
 }
@@ -387,7 +386,7 @@ void groupRectangles_meanshift(std::vector<Rect>& rectList, std::vector<double>&
 {
     CV_INSTRUMENT_REGION()
 
-    groupRectangles_meanshift(rectList, detectThreshold, &foundWeights, foundScales, winDetSize);
+    groupRectangles_meanshift(rectList, detectThreshold, foundWeights, foundScales, winDetSize);
 }
 
 

modules/shape/src/emdL1.cpp

@@ -494,6 +494,7 @@ void EmdL1::initBVTree()
             }
             if(pNxtN != pCurN->pParent)
             {
+                CV_Assert(pNxtN != NULL);
                 pNxtE = pNxtN->pChild;
                 if(pNxtE && pNxtE->pChild==pCurN) // has connection
                 {
@@ -592,6 +593,7 @@ void EmdL1::findNewSolution()
     findLoopFromEnterBV();
     // Modify flow values along the loop
     cvPEmdEdge pE = NULL;
+    CV_Assert(m_pLeave != NULL);
     float	minFlow = m_pLeave->flow;
     int k;
     for(k=0; k<m_iFrom; k++)

modules/superres/src/btv_l1.cpp

@@ -447,17 +447,19 @@ namespace
     {
         CV_OCL_RUN(_dst.isUMat(),
                    ocl_calcBtvRegularization(_src, _dst, btvKernelSize, ubtvWeights))
-        (void)ubtvWeights;
+        CV_UNUSED(ubtvWeights);
-
+        if (_src.channels() == 1)
-        typedef void (*func_t)(InputArray _src, OutputArray _dst, int btvKernelSize, const std::vector<float>& btvWeights);
-        static const func_t funcs[] =
         {
-            0, calcBtvRegularizationImpl<float>, 0, calcBtvRegularizationImpl<Point3f>, 0
+            calcBtvRegularizationImpl<float>(_src, _dst, btvKernelSize, btvWeights);
-        };
+        }
-
+        else if (_src.channels() == 3)
-        const func_t func = funcs[_src.channels()];
+        {
-        CV_Assert(func != 0);
+            calcBtvRegularizationImpl<Point3f>(_src, _dst, btvKernelSize, btvWeights);
-        func(_src, _dst, btvKernelSize, btvWeights);
+        }
+        else
+        {
+            CV_Error(Error::StsBadArg, "Unsupported number of channels in _src");
+        }
     }
 
     class BTVL1_Base : public cv::superres::SuperResolution

modules/superres/src/input_array_utility.cpp

@@ -200,10 +200,11 @@ namespace
 
     void convertToDepth(InputArray src, OutputArray dst, int depth)
     {
-        CV_Assert( src.depth() <= CV_64F );
+        const int sdepth = src.depth();
+        CV_Assert( sdepth <= CV_64F );
         CV_Assert( depth == CV_8U || depth == CV_32F );
 
-        static const double maxVals[] =
+        static const double maxVals[CV_64F + 1] =
         {
             (double)std::numeric_limits<uchar>::max(),
             (double)std::numeric_limits<schar>::max(),
@@ -214,7 +215,7 @@ namespace
             1.0,
         };
 
-        const double scale = maxVals[depth] / maxVals[src.depth()];
+        const double scale = maxVals[depth] / maxVals[sdepth];
 
         switch (src.kind())
         {

modules/video/src/lkpyramid.cpp

@@ -654,6 +654,7 @@ void cv::detail::LKTrackerInvoker::operator()(const Range& range) const
             prevDelta = delta;
         }
 
+        CV_Assert(status != NULL);
         if( status[ptidx] && err && level == 0 && (flags & OPTFLOW_LK_GET_MIN_EIGENVALS) == 0 )
         {
             Point2f nextPoint = nextPts[ptidx] - halfWin;

modules/videoio/src/cap_images.cpp

@@ -209,7 +209,7 @@ static char* icvExtractPattern(const char *filename, unsigned *offset)
     char *at = strchr(name, '%');
     if(at)
     {
-        int dummy;
+        unsigned int dummy;
         if(sscanf(at + 1, "%ud", &dummy) != 1)
             return 0;
         name = strdup(filename);
@@ -236,6 +236,7 @@ static char* icvExtractPattern(const char *filename, unsigned *offset)
 
         int size = (int)strlen(filename) + 20;
         name = (char *)malloc(size);
+        CV_Assert(name != NULL);
         strncpy(name, filename, at - filename);
         name[at - filename] = 0;
 
@@ -245,7 +246,7 @@ static char* icvExtractPattern(const char *filename, unsigned *offset)
         char *extension;
         for(i = 0, extension = at; isdigit(at[i]); i++, extension++)
             ;
-        char places[10];
+        char places[13] = {0};
         sprintf(places, "%dd", i);
 
         strcat(name, places);