Fix spelling typos

backport commit 659ffaddb4

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

@@ -1309,7 +1309,7 @@ CVAPI(void) cvMulTransposed( const CvArr* src, CvArr* dst, int order,
                              const CvArr* delta CV_DEFAULT(NULL),
                              double scale CV_DEFAULT(1.) );
 
-/** Tranposes matrix. Square matrices can be transposed in-place */
+/** Transposes matrix. Square matrices can be transposed in-place */
 CVAPI(void)  cvTranspose( const CvArr* src, CvArr* dst );
 #define cvT cvTranspose
 

modules/core/include/opencv2/core/hal/intrin_avx.hpp

@@ -569,7 +569,7 @@ inline v_int64x4 v256_blend(const v_int64x4& a, const v_int64x4& b)
 { return v_int64x4(v256_blend<m>(v_uint64x4(a.val), v_uint64x4(b.val)).val); }
 
 // shuffle
-// todo: emluate 64bit
+// todo: emulate 64bit
 #define OPENCV_HAL_IMPL_AVX_SHUFFLE(_Tpvec, intrin)  \
     template<int m>                                  \
     inline _Tpvec v256_shuffle(const _Tpvec& a)      \

modules/core/include/opencv2/core/hal/intrin_cpp.hpp

@@ -73,7 +73,7 @@ implemented as a structure based on a one SIMD register.
 
 - cv::v_uint8x16 and cv::v_int8x16: sixteen 8-bit integer values (unsigned/signed) - char
 - cv::v_uint16x8 and cv::v_int16x8: eight 16-bit integer values (unsigned/signed) - short
-- cv::v_uint32x4 and cv::v_int32x4: four 32-bit integer values (unsgined/signed) - int
+- cv::v_uint32x4 and cv::v_int32x4: four 32-bit integer values (unsigned/signed) - int
 - cv::v_uint64x2 and cv::v_int64x2: two 64-bit integer values (unsigned/signed) - int64
 - cv::v_float32x4: four 32-bit floating point values (signed) - float
 - cv::v_float64x2: two 64-bit floating point values (signed) - double

modules/core/include/opencv2/core/hal/intrin_msa.hpp

@@ -1805,7 +1805,7 @@ inline v_float32x4 v_broadcast_element(const v_float32x4& a)
     return v_setall_f32(v_extract_n<i>(a));
 }
 
-////// FP16 suport ///////
+////// FP16 support ///////
 #if CV_FP16
 inline v_float32x4 v_load_expand(const float16_t* ptr)
 {

modules/core/include/opencv2/core/hal/intrin_wasm.hpp

@@ -94,7 +94,7 @@ struct v_uint16x8
     }
     ushort get0() const
     {
-        return (ushort)wasm_i16x8_extract_lane(val, 0);    // wasm_u16x8_extract_lane() unimplemeted yet
+        return (ushort)wasm_i16x8_extract_lane(val, 0);    // wasm_u16x8_extract_lane() unimplemented yet
     }
 
     v128_t val;

modules/core/include/opencv2/core/hal/msa_macros.h

@@ -50,7 +50,7 @@ typedef double v1f64 __attribute__ ((vector_size(8), aligned(8)));
 #define msa_ld1q_f32(__a) ((v4f32)__builtin_msa_ld_w(__a, 0))
 #define msa_ld1q_f64(__a) ((v2f64)__builtin_msa_ld_d(__a, 0))
 
-/* Store 64bits vector elments values to the given memory address. */
+/* Store 64bits vector elements values to the given memory address. */
 #define msa_st1_s8(__a, __b)  (*((v8i8*)(__a)) = __b)
 #define msa_st1_s16(__a, __b) (*((v4i16*)(__a)) = __b)
 #define msa_st1_s32(__a, __b) (*((v2i32*)(__a)) = __b)
@@ -377,7 +377,7 @@ typedef double v1f64 __attribute__ ((vector_size(8), aligned(8)));
 })
 
 /* Right shift elements in a 128 bits vector by an immediate value, saturate the results and them in a 64 bits vector.
-   Input is signed and outpus is unsigned. */
+   Input is signed and output is unsigned. */
 #define msa_qrshrun_n_s16(__a, __b) \
 ({ \
   v8i16 __d = __builtin_msa_srlri_h(__builtin_msa_max_s_h(__builtin_msa_fill_h(0), (v8i16)(__a)), (int)(__b)); \

modules/core/include/opencv2/core/opencl/opencl_info.hpp

@@ -62,7 +62,7 @@ static String getDeviceTypeString(const cv::ocl::Device& device)
         }
     }
 
-    return "unkown";
+    return "unknown";
 }
 } // namespace
 

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

@@ -165,7 +165,7 @@ public:
 
     /** @brief Sets the initial step that will be used in downhill simplex algorithm.
 
-    Step, together with initial point (givin in DownhillSolver::minimize) are two `n`-dimensional
+    Step, together with initial point (given in DownhillSolver::minimize) are two `n`-dimensional
     vectors that are used to determine the shape of initial simplex. Roughly said, initial point
     determines the position of a simplex (it will become simplex's centroid), while step determines the
     spread (size in each dimension) of a simplex. To be more precise, if \f$s,x_0\in\mathbb{R}^n\f$ are

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

@@ -317,7 +317,7 @@ VSX_IMPL_1RG(vec_udword2, wi, vec_float4,  wf, xvcvspuxds, vec_ctulo)
  * Also there's already an open bug https://bugs.llvm.org/show_bug.cgi?id=31837
  *
  * So we're not able to use inline asm and only use built-in functions that CLANG supports
- * and use __builtin_convertvector if clang missng any of vector conversions built-in functions
+ * and use __builtin_convertvector if clang missing any of vector conversions built-in functions
  *
  * todo: clang asm template bug is fixed, need to reconsider the current workarounds.
 */
@@ -491,7 +491,7 @@ VSX_IMPL_CONV_EVEN_2_4(vec_uint4,  vec_double2, vec_ctu, vec_ctuo)
 // Only for Eigen!
 /*
  * changing behavior of conversion intrinsics for gcc has effect on Eigen
- * so we redfine old behavior again only on gcc, clang
+ * so we redefine old behavior again only on gcc, clang
 */
 #if !defined(__clang__) || __clang_major__ > 4
     // ignoring second arg since Eigen only truncates toward zero

modules/core/src/array.cpp

@@ -250,7 +250,7 @@ cvInitMatNDHeader( CvMatND* mat, int dims, const int* sizes,
     for( int i = dims - 1; i >= 0; i-- )
     {
         if( sizes[i] < 0 )
-            CV_Error( CV_StsBadSize, "one of dimesion sizes is non-positive" );
+            CV_Error( CV_StsBadSize, "one of dimension sizes is non-positive" );
         mat->dim[i].size = sizes[i];
         if( step > INT_MAX )
             CV_Error( CV_StsOutOfRange, "The array is too big" );
@@ -545,7 +545,7 @@ cvCreateSparseMat( int dims, const int* sizes, int type )
     for( i = 0; i < dims; i++ )
     {
         if( sizes[i] <= 0 )
-            CV_Error( CV_StsBadSize, "one of dimesion sizes is non-positive" );
+            CV_Error( CV_StsBadSize, "one of dimension sizes is non-positive" );
     }
 
     CvSparseMat* arr = (CvSparseMat*)cvAlloc(sizeof(*arr)+MAX(0,dims-CV_MAX_DIM)*sizeof(arr->size[0]));

modules/core/src/convert_scale.simd.hpp

@@ -53,7 +53,7 @@ cvtabs_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
     }
 }
 
-// variant for convrsions 16f <-> ... w/o unrolling
+// variant for conversions 16f <-> ... w/o unrolling
 template<typename _Ts, typename _Td> inline void
 cvtabs1_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
              Size size, float a, float b )
@@ -123,7 +123,7 @@ cvt_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
     }
 }
 
-// variant for convrsions 16f <-> ... w/o unrolling
+// variant for conversions 16f <-> ... w/o unrolling
 template<typename _Ts, typename _Td> inline void
 cvt1_32f( const _Ts* src, size_t sstep, _Td* dst, size_t dstep,
           Size size, float a, float b )

modules/core/src/downhill_simplex.cpp

@@ -77,7 +77,7 @@ Replaced y(1,ndim,0.0) ------> y(1,ndim+1,0.0)
 
 ***********************************************************************************************************************************
 
-The code below was used in tesing the source code.
+The code below was used in testing the source code.
 Created by @SareeAlnaghy
 
 #include <iostream>

modules/core/src/system.cpp

@@ -1592,7 +1592,7 @@ public:
     {
         TlsAbstraction* tls = getTlsAbstraction();
         if (NULL == tls)
-            return;  // TLS signleton is not available (terminated)
+            return;  // TLS singleton is not available (terminated)
         ThreadData *pTD = tlsValue == NULL ? (ThreadData*)tls->getData() : (ThreadData*)tlsValue;
         if (pTD == NULL)
             return;  // no OpenCV TLS data for this thread
@@ -1683,7 +1683,7 @@ public:
 
         TlsAbstraction* tls = getTlsAbstraction();
         if (NULL == tls)
-            return NULL;  // TLS signleton is not available (terminated)
+            return NULL;  // TLS singleton is not available (terminated)
 
         ThreadData* threadData = (ThreadData*)tls->getData();
         if(threadData && threadData->slots.size() > slotIdx)
@@ -1719,7 +1719,7 @@ public:
 
         TlsAbstraction* tls = getTlsAbstraction();
         if (NULL == tls)
-            return;  // TLS signleton is not available (terminated)
+            return;  // TLS singleton is not available (terminated)
 
         ThreadData* threadData = (ThreadData*)tls->getData();
         if(!threadData)