Misc. modules/ typos

Found via `codespell`

Author: luzpaz

modules/core/include/opencv2/core/core_c.h

@@ -1788,7 +1788,7 @@ CVAPI(int)  cvGraphRemoveVtx( CvGraph* graph, int index );
 CVAPI(int)  cvGraphRemoveVtxByPtr( CvGraph* graph, CvGraphVtx* vtx );
 
 
-/** Link two vertices specifed by indices or pointers if they
+/** Link two vertices specified by indices or pointers if they
    are not connected or return pointer to already existing edge
    connecting the vertices.
    Functions return 1 if a new edge was created, 0 otherwise */
@@ -2648,7 +2648,7 @@ CVAPI(void) cvSetErrStatus( int status );
 #define CV_ErrModeParent   1   /* Print error and continue */
 #define CV_ErrModeSilent   2   /* Don't print and continue */
 
-/** Retrives current error processing mode */
+/** Retrieves current error processing mode */
 CVAPI(int)  cvGetErrMode( void );
 
 /** Sets error processing mode, returns previously used mode */
@@ -2738,7 +2738,7 @@ static char cvFuncName[] = Name
 /**
  CV_CALL macro calls CV (or IPL) function, checks error status and
  signals a error if the function failed. Useful in "parent node"
- error procesing mode
+ error processing mode
  */
 #define CV_CALL( Func )                                             \
 {                                                                   \

modules/core/include/opencv2/core/cuda.hpp

@@ -56,7 +56,7 @@
   @{
     @defgroup cudacore Core part
     @{
-      @defgroup cudacore_init Initalization and Information
+      @defgroup cudacore_init Initialization and Information
       @defgroup cudacore_struct Data Structures
     @}
   @}

modules/core/include/opencv2/core/mat.hpp

@@ -2184,7 +2184,7 @@ template<typename _Tp> class Mat_ : public Mat
     Mat_(int _ndims, const int* _sizes);
     //! n-dim array constructor that sets each matrix element to specified value
     Mat_(int _ndims, const int* _sizes, const _Tp& value);
-    //! copy/conversion contructor. If m is of different type, it's converted
+    //! copy/conversion constructor. If m is of different type, it's converted
     Mat_(const Mat& m);
     //! copy constructor
     Mat_(const Mat_& m);
@@ -2275,7 +2275,7 @@ template<typename _Tp> class Mat_ : public Mat
     static MatExpr eye(int rows, int cols);
     static MatExpr eye(Size size);
 
-    //! some more overriden methods
+    //! some more overridden methods
     Mat_& adjustROI( int dtop, int dbottom, int dleft, int dright );
     Mat_ operator()( const Range& rowRange, const Range& colRange ) const;
     Mat_ operator()( const Rect& roi ) const;
@@ -2943,7 +2943,7 @@ template<typename _Tp> class SparseMat_ : public SparseMat
 
     //! the default constructor
     SparseMat_();
-    //! the full constructor equivelent to SparseMat(dims, _sizes, DataType<_Tp>::type)
+    //! the full constructor equivalent to SparseMat(dims, _sizes, DataType<_Tp>::type)
     SparseMat_(int dims, const int* _sizes);
     //! the copy constructor. If DataType<_Tp>.type != m.type(), the m elements are converted
     SparseMat_(const SparseMat& m);

modules/core/include/opencv2/core/matx.hpp

@@ -92,7 +92,7 @@ Except of the plain constructor which takes a list of elements, Matx can be init
     float values[] = { 1, 2, 3};
     Matx31f m(values);
 @endcode
-In case if C++11 features are avaliable, std::initializer_list can be also used to initialize Matx:
+In case if C++11 features are available, std::initializer_list can be also used to initialize Matx:
 @code{.cpp}
     Matx31f m = { 1, 2, 3};
 @endcode

modules/core/include/opencv2/core/opengl.hpp

@@ -245,7 +245,7 @@ class CV_EXPORTS Buffer
 
     /** @brief Maps OpenGL buffer to CUDA device memory.
 
-    This operatation doesn't copy data. Several buffer objects can be mapped to CUDA memory at a time.
+    This operation doesn't copy data. Several buffer objects can be mapped to CUDA memory at a time.
 
     A mapped data store must be unmapped with ogl::Buffer::unmapDevice before its buffer object is used.
      */

modules/core/include/opencv2/core/optim.hpp

@@ -115,7 +115,7 @@ class CV_EXPORTS MinProblemSolver : public Algorithm
     always sensible) will be used.
 
     @param x The initial point, that will become a centroid of an initial simplex. After the algorithm
-    will terminate, it will be setted to the point where the algorithm stops, the point of possible
+    will terminate, it will be set to the point where the algorithm stops, the point of possible
     minimum.
     @return The value of a function at the point found.
      */
@@ -288,7 +288,7 @@ Bland's rule <http://en.wikipedia.org/wiki/Bland%27s_rule> is used to prevent cy
 contain 32- or 64-bit floating point numbers. As a convenience, column-vector may be also submitted,
 in the latter case it is understood to correspond to \f$c^T\f$.
 @param Constr `m`-by-`n+1` matrix, whose rightmost column corresponds to \f$b\f$ in formulation above
-and the remaining to \f$A\f$. It should containt 32- or 64-bit floating point numbers.
+and the remaining to \f$A\f$. It should contain 32- or 64-bit floating point numbers.
 @param z The solution will be returned here as a column-vector - it corresponds to \f$c\f$ in the
 formulation above. It will contain 64-bit floating point numbers.
 @return One of cv::SolveLPResult

modules/core/include/opencv2/core/softfloat.hpp

@@ -82,7 +82,7 @@ namespace cv
   Both types support the following:
   - Construction from signed and unsigned 32-bit and 64 integers,
   float/double or raw binary representation
-  - Conversions betweeen each other, to float or double and to int
+  - Conversions between each other, to float or double and to int
   using @ref cvRound, @ref cvTrunc, @ref cvFloor, @ref cvCeil or a bunch of
   saturate_cast functions
   - Add, subtract, multiply, divide, remainder, square root, FMA with absolute precision

modules/core/include/opencv2/core/vsx_utils.hpp

@@ -555,7 +555,7 @@ VSX_IMPL_CONV_EVEN_2_4(vec_uint4,  vec_double2, vec_ctu, vec_ctuo)
 // vector population count
 #define vec_popcntu vec_popcnt
 
-// overload and redirect wih setting second arg to zero
+// overload and redirect with setting second arg to zero
 // since we only support conversions without the second arg
 #define VSX_IMPL_OVERLOAD_Z2(rt, rg, fnm) \
 VSX_FINLINE(rt) fnm(const rg& a) { return fnm(a, 0); }
@@ -610,7 +610,7 @@ VSX_IMPL_CONV_ODD_2_4(vec_uint4,  vec_double2, vec_ctuo, vec_ctu)
 
 #endif // XLC VSX compatibility
 
-// ignore GCC warning that casued by -Wunused-but-set-variable in rare cases
+// ignore GCC warning that caused by -Wunused-but-set-variable in rare cases
 #if defined(__GNUG__) && !defined(__clang__)
 #   define VSX_UNUSED(Tvec) Tvec __attribute__((__unused__))
 #else // CLANG, XLC
@@ -736,7 +736,7 @@ VSX_IMPL_LOAD_L8(vec_double2, double)
 #   define vec_cmpne(a, b) vec_not(vec_cmpeq(a, b))
 #endif
 
-// absoulte difference
+// absolute difference
 #ifndef vec_absd
 #   define vec_absd(a, b) vec_sub(vec_max(a, b), vec_min(a, b))
 #endif

modules/core/include/opencv2/core/wimage.hpp

@@ -289,7 +289,7 @@ class WImageC : public WImage<T>
 };
 
 /** Image class which owns the data, so it can be allocated and is always
-freed.  It cannot be copied but can be explicity cloned.
+freed.  It cannot be copied but can be explicitly cloned.
 */
 template<typename T>
 class WImageBuffer : public WImage<T>

modules/core/src/array.cpp

@@ -1914,7 +1914,7 @@ cvPtrND( const CvArr* arr, const int* idx, int* _type,
 }
 
 
-// Returns specifed element of n-D array given linear index
+// Returns specified element of n-D array given linear index
 CV_IMPL  CvScalar
 cvGet1D( const CvArr* arr, int idx )
 {
@@ -1949,7 +1949,7 @@ cvGet1D( const CvArr* arr, int idx )
 }
 
 
-// Returns specifed element of 2D array
+// Returns specified element of 2D array
 CV_IMPL  CvScalar
 cvGet2D( const CvArr* arr, int y, int x )
 {
@@ -1983,7 +1983,7 @@ cvGet2D( const CvArr* arr, int y, int x )
 }
 
 
-// Returns specifed element of 3D array
+// Returns specified element of 3D array
 CV_IMPL  CvScalar
 cvGet3D( const CvArr* arr, int z, int y, int x )
 {
@@ -2005,7 +2005,7 @@ cvGet3D( const CvArr* arr, int z, int y, int x )
 }
 
 
-// Returns specifed element of nD array
+// Returns specified element of nD array
 CV_IMPL  CvScalar
 cvGetND( const CvArr* arr, const int* idx )
 {
@@ -2025,7 +2025,7 @@ cvGetND( const CvArr* arr, const int* idx )
 }
 
 
-// Returns specifed element of n-D array given linear index
+// Returns specified element of n-D array given linear index
 CV_IMPL  double
 cvGetReal1D( const CvArr* arr, int idx )
 {
@@ -2064,7 +2064,7 @@ cvGetReal1D( const CvArr* arr, int idx )
 }
 
 
-// Returns specifed element of 2D array
+// Returns specified element of 2D array
 CV_IMPL  double
 cvGetReal2D( const CvArr* arr, int y, int x )
 {
@@ -2103,7 +2103,7 @@ cvGetReal2D( const CvArr* arr, int y, int x )
 }
 
 
-// Returns specifed element of 3D array
+// Returns specified element of 3D array
 CV_IMPL  double
 cvGetReal3D( const CvArr* arr, int z, int y, int x )
 {
@@ -2131,7 +2131,7 @@ cvGetReal3D( const CvArr* arr, int z, int y, int x )
 }
 
 
-// Returns specifed element of nD array
+// Returns specified element of nD array
 CV_IMPL  double
 cvGetRealND( const CvArr* arr, const int* idx )
 {
@@ -2156,7 +2156,7 @@ cvGetRealND( const CvArr* arr, const int* idx )
 }
 
 
-// Assigns new value to specifed element of nD array given linear index
+// Assigns new value to specified element of nD array given linear index
 CV_IMPL  void
 cvSet1D( CvArr* arr, int idx, CvScalar scalar )
 {
@@ -2187,7 +2187,7 @@ cvSet1D( CvArr* arr, int idx, CvScalar scalar )
 }
 
 
-// Assigns new value to specifed element of 2D array
+// Assigns new value to specified element of 2D array
 CV_IMPL  void
 cvSet2D( CvArr* arr, int y, int x, CvScalar scalar )
 {
@@ -2216,7 +2216,7 @@ cvSet2D( CvArr* arr, int y, int x, CvScalar scalar )
 }
 
 
-// Assigns new value to specifed element of 3D array
+// Assigns new value to specified element of 3D array
 CV_IMPL  void
 cvSet3D( CvArr* arr, int z, int y, int x, CvScalar scalar )
 {
@@ -2234,7 +2234,7 @@ cvSet3D( CvArr* arr, int z, int y, int x, CvScalar scalar )
 }
 
 
-// Assigns new value to specifed element of nD array
+// Assigns new value to specified element of nD array
 CV_IMPL  void
 cvSetND( CvArr* arr, const int* idx, CvScalar scalar )
 {