Merge pull request #9332 from csukuangfj:improve-documentation

CMakeLists.txt

@@ -29,9 +29,9 @@ else()
   cmake_minimum_required(VERSION "${MIN_VER_CMAKE}" FATAL_ERROR)
 endif()
 
-# Following block can broke build in case of cross-compilng
+# Following block can break build in case of cross-compilng
 # but CMAKE_CROSSCOMPILING variable will be set only on project(OpenCV) command
-# so we will try to detect crosscompiling by presense of CMAKE_TOOLCHAIN_FILE
+# so we will try to detect cross-compiling by presense of CMAKE_TOOLCHAIN_FILE
 if(NOT DEFINED CMAKE_INSTALL_PREFIX)
   if(NOT CMAKE_TOOLCHAIN_FILE)
     # it _must_ go before project(OpenCV) in order to work
@@ -43,7 +43,7 @@ if(NOT DEFINED CMAKE_INSTALL_PREFIX)
   else(NOT CMAKE_TOOLCHAIN_FILE)
     #Android: set output folder to ${CMAKE_BINARY_DIR}
     set( LIBRARY_OUTPUT_PATH_ROOT ${CMAKE_BINARY_DIR} CACHE PATH "root for library output, set this to change where android libs are compiled to" )
-    # any crosscompiling
+    # any cross-compiling
     set(CMAKE_INSTALL_PREFIX "${CMAKE_BINARY_DIR}/install" CACHE PATH "Installation Directory")
   endif(NOT CMAKE_TOOLCHAIN_FILE)
 endif()
@@ -141,7 +141,7 @@ include(cmake/OpenCVDownload.cmake)
 # ----------------------------------------------------------------------------
 if(NOT CMAKE_SIZEOF_VOID_P GREATER 0)
   message(FATAL_ERROR "CMake fails to deterimine the bitness of target platform.
-  Please check your CMake and compiler installation. If you are crosscompiling then ensure that your CMake toolchain file correctly sets the compiler details.")
+  Please check your CMake and compiler installation. If you are cross-compiling then ensure that your CMake toolchain file correctly sets the compiler details.")
 endif()
 
 # ----------------------------------------------------------------------------

modules/core/include/opencv2/core/persistence.hpp

@@ -108,7 +108,7 @@ XML/YAML/JSON file storages.     {#xml_storage}
 Writing to a file storage.
 --------------------------
 You can store and then restore various OpenCV data structures to/from XML (<http://www.w3c.org/XML>),
-YAML (<http://www.yaml.org>) or JSON (<http://www.json.org/>) formats. Also, it is possible store
+YAML (<http://www.yaml.org>) or JSON (<http://www.json.org/>) formats. Also, it is possible to store
 and load arbitrarily complex data structures, which include OpenCV data structures, as well as
 primitive data types (integer and floating-point numbers and text strings) as their elements.
 
@@ -155,7 +155,7 @@ Here is an example:
         return 0;
     }
 @endcode
-The sample above stores to XML and integer, text string (calibration date), 2 matrices, and a custom
+The sample above stores to YML an integer, a text string (calibration date), 2 matrices, and a custom
 structure "feature", which includes feature coordinates and LBP (local binary pattern) value. Here
 is output of the sample:
 @code{.yaml}

modules/imgproc/src/deriv.cpp

@@ -444,7 +444,7 @@ void cv::Sobel( InputArray _src, OutputArray _dst, int ddepth, int dx, int dy,
     if( scale != 1 )
     {
         // usually the smoothing part is the slowest to compute,
-        // so try to scale it instead of the faster differenciating part
+        // so try to scale it instead of the faster differentiating part
         if( dx == 0 )
             kx *= scale;
         else