Merge pull request #24566 from MaximSmolskiy:fix-typos-in-calibinit.cpp

Fix typos in calibinit.cpp
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Alexander Smorkalov 2023-11-21 11:37:42 +03:00 committed by GitHub
commit 8bbf08f0de
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@ -46,7 +46,7 @@
Here is the copyright notice from the original Vladimir's code:
===============================================================
The algorithms developed and implemented by Vezhnevets Vldimir
The algorithms developed and implemented by Vezhnevets Vladimir
aka Dead Moroz (vvp@graphics.cs.msu.ru)
See http://graphics.cs.msu.su/en/research/calibration/opencv.html
for detailed information.
@ -54,7 +54,7 @@
Reliability additions and modifications made by Philip Gruebele.
<a href="mailto:pgruebele@cox.net">pgruebele@cox.net</a>
Some further improvements for detection of partially ocluded boards at non-ideal
Some further improvements for detection of partially occluded boards at non-ideal
lighting conditions have been made by Alex Bovyrin and Kurt Kolonige
\************************************************************************************/
@ -325,7 +325,7 @@ static void icvGradientOfHistogram256(const ArrayContainer& piHist, ArrayContain
piHistGrad[255] = 0;
}
/***************************************************************************************************/
//PERFORM SMART IMAGE THRESHOLDING BASED ON ANALYSIS OF INTENSTY HISTOGRAM
//PERFORM SMART IMAGE THRESHOLDING BASED ON ANALYSIS OF INTENSITY HISTOGRAM
static void icvBinarizationHistogramBased(Mat & img)
{
CV_Assert(img.channels() == 1 && img.depth() == CV_8U);
@ -671,7 +671,7 @@ bool findChessboardCorners(InputArray image_, Size pattern_size,
// of the neighbor corners in the same row/column.
//
// This function has been created as temporary workaround for the bug in current implementation
// of cvFindChessboardCornes that produces absolutely unordered sets of corners.
// of cvFindChessboardCorners that produces absolutely unordered sets of corners.
//
bool ChessBoardDetector::checkBoardMonotony(const std::vector<cv::Point2f>& corners)
{
@ -1213,7 +1213,7 @@ int ChessBoardDetector::cleanFoundConnectedQuads(std::vector<ChessBoardQuad*>& q
// We iteratively remove the point which reduces the size of
// the bounding box of the blobs the most
// (since we want the rectangle to be as small as possible)
// remove the quadrange that causes the biggest reduction
// remove the quadrangle that causes the biggest reduction
// in pattern size until we have the correct number
for (; quad_count > count; quad_count--)
{