Spell checked the documentation with VIM (issue #223)

modules/features2d/doc/common_interfaces_of_feature_detectors.rst

@@ -500,7 +500,7 @@ The constructor
 
     :param max_features: Maximum desired number of features.
 
-    :param max_iters: Maximum number of times to try adjusting the feature detector parameters. For :ocv:class:`FastAdjuster` , this number can be high, but with ``Star`` or ``Surf``  many iterations can be time-comsuming.  At each iteration the detector is rerun.
+    :param max_iters: Maximum number of times to try adjusting the feature detector parameters. For :ocv:class:`FastAdjuster` , this number can be high, but with ``Star`` or ``Surf``  many iterations can be time-consuming.  At each iteration the detector is rerun.
 
 AdjusterAdapter
 ---------------

modules/features2d/doc/common_interfaces_of_generic_descriptor_matchers.rst

@@ -196,7 +196,7 @@ Finds the ``k`` best matches for each query keypoint.
 
 .. ocv:function:: void GenericDescriptorMatcher::knnMatch(           const Mat& queryImage, vector<KeyPoint>& queryKeypoints,      vector<vector<DMatch> >& matches, int k,       const vector<Mat>& masks=vector<Mat>(),       bool compactResult=false )
     
-The methods are extended variants of ``GenericDescriptorMatch::match``. The parameters are similar, and the  the semantics is similar to ``DescriptorMatcher::knnMatch``. But this class does not require explicitly computed keypoint descriptors.
+The methods are extended variants of ``GenericDescriptorMatch::match``. The parameters are similar, and the semantics is similar to ``DescriptorMatcher::knnMatch``. But this class does not require explicitly computed keypoint descriptors.
 
 
 

modules/features2d/doc/feature_detection_and_description.rst

@@ -15,7 +15,7 @@ Detects corners using the FAST algorithm
 
     :param threshold: Threshold on difference between intensity of the central pixel and pixels on a circle around this pixel. See the algorithm description below.
 
-    :param nonmaxSupression: If it is true, non-maximum supression is applied to detected corners (keypoints).
+    :param nonmaxSupression: If it is true, non-maximum suppression is applied to detected corners (keypoints).
 
 Detects corners using the FAST algorithm by E. Rosten (*Machine Learning for High-speed Corner Detection*, 2006).
 
@@ -43,7 +43,7 @@ Maximally stable extremal region extractor. ::
     };
 
 The class encapsulates all the parameters of the MSER extraction algorithm (see
-http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions). Also see http://opencv.willowgarage.com/wiki/documentation/cpp/features2d/MSER for usefull comments and parameters description.
+http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions). Also see http://opencv.willowgarage.com/wiki/documentation/cpp/features2d/MSER for useful comments and parameters description.
 
 
 StarDetector

modules/features2d/doc/object_categorization.rst

@@ -186,7 +186,7 @@ Computes an image descriptor using the set visual vocabulary.
 
 BOWImgDescriptorExtractor::descriptorSize
 ---------------------------------------------
-Returns an image discriptor size if the vocabulary is set. Otherwise, it returns 0.
+Returns an image descriptor size if the vocabulary is set. Otherwise, it returns 0.
 
 .. ocv:function:: int BOWImgDescriptorExtractor::descriptorSize() const