Fix typos

backport commit 8c09249

Author: bwignall

modules/aruco/include/opencv2/aruco.hpp

@@ -354,7 +354,7 @@ class CV_EXPORTS_W GridBoard : public Board {
     // number of markers in X and Y directions
     int _markersX, _markersY;
 
-    // marker side lenght (normally in meters)
+    // marker side length (normally in meters)
     float _markerLength;
 
     // separation between markers in the grid

modules/aruco/src/apriltag_quad_thresh.cpp

@@ -661,7 +661,7 @@ int fit_quad(const Ptr<DetectorParameters> &_params, const Mat im, zarray_t *clu
     if (dot < 0)
         return 0;
 
-    // we now sort the points according to theta. This is a prepatory
+    // we now sort the points according to theta. This is a preparatory
     // step for segmenting them into four lines.
     if (1) {
         //        zarray_sort(cluster, pt_compare_theta);

modules/aruco/src/charuco.cpp

@@ -616,7 +616,7 @@ void drawDetectedCornersCharuco(InputOutputArray _image, InputArray _charucoCorn
 
 /**
   * Check if a set of 3d points are enough for calibration. Z coordinate is ignored.
-  * Only axis paralel lines are considered
+  * Only axis parallel lines are considered
   */
 static bool _arePointsEnoughForPoseEstimation(const vector< Point3f > &points) {
 

modules/aruco/src/dictionary.cpp

@@ -122,7 +122,7 @@ bool Dictionary::identify(const Mat &onlyBits, int &idx, int &rotation,
             }
         }
 
-        // if maxCorrection is fullfilled, return this one
+        // if maxCorrection is fulfilled, return this one
         if(currentMinDistance <= maxCorrectionRecalculed) {
             idx = m;
             rotation = currentRotation;

modules/aruco/tutorials/charuco_detection/charuco_detection.markdown

@@ -32,7 +32,7 @@ This class, as the rest of ChArUco functionalities, are defined in:
     #include <opencv2/aruco/charuco.hpp>
 @endcode
 
-To define a ```CharucoBoard```, it is necesary:
+To define a ```CharucoBoard```, it is necessary:
 
 - Number of chessboard squares in X direction.
 - Number of chessboard squares in Y direction.

modules/aruco/tutorials/charuco_diamond_detection/charuco_diamond_detection.markdown

@@ -102,7 +102,7 @@ function and, for each diamond, the corners are represented in the same order th
 starting with the top-left corner. The second returned parameter, ```diamondIds```, contains all the ids of the returned
 diamond corners in ```diamondCorners```. Each id is actually an array of 4 integers that can be represented with ```Vec4i```.
 
-The detected diamond can be visualized using the function ```drawDetectedDiamonds()``` which simply recieves the image and the diamond
+The detected diamond can be visualized using the function ```drawDetectedDiamonds()``` which simply receives the image and the diamond
 corners and ids:
 
 @code{.cpp}

modules/bioinspired/doc/retina.markdown

@@ -134,7 +134,7 @@ For more information, refer to the following papers :
 
 -   Please have a look at the reference work of Jeanny Herault that you can read in his book : @cite Herault2010
 
-This retina filter code includes the research contributions of phd/research collegues from which
+This retina filter code includes the research contributions of phd/research colleagues from which
 code has been redrawn by the author :
 
 -   take a look at the *retinacolor.hpp* module to discover Brice Chaix de Lavarene phD color

modules/bioinspired/samples/OpenEXRimages_HDR_Retina_toneMapping.cpp

@@ -75,7 +75,7 @@ static void rescaleGrayLevelMat(const cv::Mat &inputMat, cv::Mat &outputMat, con
 		cvtColor(rgbIntImg, intGrayImage, cv::COLOR_BGR2GRAY);
 	}
 
-	// get histogram density probability in order to cut values under above edges limits (here 5-95%)... usefull for HDR pixel errors cancellation
+	// get histogram density probability in order to cut values under above edges limits (here 5-95%)... useful for HDR pixel errors cancellation
 	cv::Mat dst, hist;
 	int histSize = 256;
 	calcHist(&intGrayImage, 1, 0, cv::Mat(), hist, 1, &histSize, 0);
@@ -233,7 +233,7 @@ int main(int argc, char* argv[])
 		// save default retina parameters file in order to let you see this and maybe modify it and reload using method "setup"
 		retina->write("RetinaDefaultParameters.xml");
 
-		// desactivate Magnocellular pathway processing (motion information extraction) since it is not usefull here
+		// desactivate Magnocellular pathway processing (motion information extraction) since it is not useful here
 		retina->activateMovingContoursProcessing(false);
 
 		// declare retina output buffers

modules/bioinspired/samples/cpp/OpenEXRimages_HDR_Retina_toneMapping.cpp

@@ -74,7 +74,7 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
          cvtColor(rgbIntImg, intGrayImage, cv::COLOR_BGR2GRAY);
      }
 
-     // get histogram density probability in order to cut values under above edges limits (here 5-95%)... usefull for HDR pixel errors cancellation
+     // get histogram density probability in order to cut values under above edges limits (here 5-95%)... useful for HDR pixel errors cancellation
      cv::Mat dst, hist;
      int histSize = 256;
      calcHist(&intGrayImage, 1, 0, cv::Mat(), hist, 1, &histSize, 0);
@@ -231,7 +231,7 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
          // save default retina parameters file in order to let you see this and maybe modify it and reload using method "setup"
          retina->write("RetinaDefaultParameters.xml");
 
-         // desactivate Magnocellular pathway processing (motion information extraction) since it is not usefull here
+         // desactivate Magnocellular pathway processing (motion information extraction) since it is not useful here
          retina->activateMovingContoursProcessing(false);
 
          // declare retina output buffers

modules/bioinspired/src/retina_ocl.cpp

@@ -1367,7 +1367,7 @@ void RetinaFilter::setGlobalParameters(const float OPLspatialResponse1, const fl
     _normalizeMagnoOutput_0_maxOutputValue = normalizeMagnoOutput_0_maxOutputValue;
     _maxOutputValue = maxOutputValue;
     _photoreceptorsPrefilter.setV0CompressionParameter(0.9f, maxInputValue, meanValue);
-    _photoreceptorsPrefilter.setLPfilterParameters(0, 0, 10, 3); // keeps low pass filter with low cut frequency in memory (usefull for the tone mapping function)
+    _photoreceptorsPrefilter.setLPfilterParameters(0, 0, 10, 3); // keeps low pass filter with low cut frequency in memory (useful for the tone mapping function)
     _ParvoRetinaFilter.setOPLandParvoFiltersParameters(0, OPLtemporalresponse1, OPLspatialResponse1, OPLassymetryGain, OPLtemporalresponse2, OPLspatialResponse2);
     _ParvoRetinaFilter.setV0CompressionParameter(0.9f, maxInputValue, meanValue);
     _MagnoRetinaFilter.setCoefficientsTable(LPfilterGain, LPfilterTemporalresponse, LPfilterSpatialResponse, MovingContoursExtractorCoefficient, 0, 2.0f * LPfilterSpatialResponse);
@@ -1433,7 +1433,7 @@ bool RetinaFilter::runFilter(const UMat &imageInput, const bool useAdaptiveFilte
 
     if (_useParvoOutput)
     {
-        _ParvoRetinaFilter.normalizeGrayOutputCentredSigmoide(); // models the saturation of the cells, usefull for visualisation of the ON-OFF Parvo Output, Bipolar cells outputs do not change !!!
+        _ParvoRetinaFilter.normalizeGrayOutputCentredSigmoide(); // models the saturation of the cells, useful for visualisation of the ON-OFF Parvo Output, Bipolar cells outputs do not change !!!
         _ParvoRetinaFilter.centerReductImageLuminance(); // best for further spectrum analysis
 
         if (_normalizeParvoOutput_0_maxOutputValue)