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Merge pull request #24566 from MaximSmolskiy:fix-typos-in-calibinit.cpp
Fix typos in calibinit.cpp
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8bbf08f0de
@ -46,7 +46,7 @@
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Here is the copyright notice from the original Vladimir's code:
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===============================================================
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The algorithms developed and implemented by Vezhnevets Vldimir
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The algorithms developed and implemented by Vezhnevets Vladimir
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aka Dead Moroz (vvp@graphics.cs.msu.ru)
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See http://graphics.cs.msu.su/en/research/calibration/opencv.html
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for detailed information.
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@ -54,7 +54,7 @@
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Reliability additions and modifications made by Philip Gruebele.
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<a href="mailto:pgruebele@cox.net">pgruebele@cox.net</a>
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Some further improvements for detection of partially ocluded boards at non-ideal
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Some further improvements for detection of partially occluded boards at non-ideal
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lighting conditions have been made by Alex Bovyrin and Kurt Kolonige
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\************************************************************************************/
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@ -325,7 +325,7 @@ static void icvGradientOfHistogram256(const ArrayContainer& piHist, ArrayContain
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piHistGrad[255] = 0;
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}
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/***************************************************************************************************/
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//PERFORM SMART IMAGE THRESHOLDING BASED ON ANALYSIS OF INTENSTY HISTOGRAM
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//PERFORM SMART IMAGE THRESHOLDING BASED ON ANALYSIS OF INTENSITY HISTOGRAM
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static void icvBinarizationHistogramBased(Mat & img)
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{
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CV_Assert(img.channels() == 1 && img.depth() == CV_8U);
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@ -671,7 +671,7 @@ bool findChessboardCorners(InputArray image_, Size pattern_size,
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// of the neighbor corners in the same row/column.
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//
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// This function has been created as temporary workaround for the bug in current implementation
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// of cvFindChessboardCornes that produces absolutely unordered sets of corners.
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// of cvFindChessboardCorners that produces absolutely unordered sets of corners.
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//
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bool ChessBoardDetector::checkBoardMonotony(const std::vector<cv::Point2f>& corners)
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{
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@ -1213,7 +1213,7 @@ int ChessBoardDetector::cleanFoundConnectedQuads(std::vector<ChessBoardQuad*>& q
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// We iteratively remove the point which reduces the size of
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// the bounding box of the blobs the most
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// (since we want the rectangle to be as small as possible)
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// remove the quadrange that causes the biggest reduction
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// remove the quadrangle that causes the biggest reduction
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// in pattern size until we have the correct number
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for (; quad_count > count; quad_count--)
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{
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