OpenCV Python align 4 corners of an element





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I have the location of the 4 corners of the element but I want to straighten it
My image looks like this representation:



From misaligned to aligned element



The said element is in an image so I'd like to apply the alignment to the whole image.










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    0















    I have the location of the 4 corners of the element but I want to straighten it
    My image looks like this representation:



    From misaligned to aligned element



    The said element is in an image so I'd like to apply the alignment to the whole image.










    share|improve this question

























      0












      0








      0


      1






      I have the location of the 4 corners of the element but I want to straighten it
      My image looks like this representation:



      From misaligned to aligned element



      The said element is in an image so I'd like to apply the alignment to the whole image.










      share|improve this question














      I have the location of the 4 corners of the element but I want to straighten it
      My image looks like this representation:



      From misaligned to aligned element



      The said element is in an image so I'd like to apply the alignment to the whole image.







      python opencv image-processing






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 24 '18 at 23:06









      MushMush

      86




      86
























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          What you are searching for is a homography Transformation.



          First you need the positions of your 4 corner points of the image and then your have to define the destination of those 4 points. In your case it would be the image boundaries. If you have your destination points, you can call the function H, mask = cv.findHomography(srcPoints, dstPoints)(see documentation in calib3d module).



          The matrix H describes the transformation from your source image to the destination image. Next you need to apply the Matrix H on your image which can be done with the function
          dst = cv.warpPerspective(srcImage, destImage,H) (see documentation of this function here).



          If you want to do more stuff with the homography matrix, see OpenCv Homography tutorial with example code






          share|improve this answer


























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            1 Answer
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            What you are searching for is a homography Transformation.



            First you need the positions of your 4 corner points of the image and then your have to define the destination of those 4 points. In your case it would be the image boundaries. If you have your destination points, you can call the function H, mask = cv.findHomography(srcPoints, dstPoints)(see documentation in calib3d module).



            The matrix H describes the transformation from your source image to the destination image. Next you need to apply the Matrix H on your image which can be done with the function
            dst = cv.warpPerspective(srcImage, destImage,H) (see documentation of this function here).



            If you want to do more stuff with the homography matrix, see OpenCv Homography tutorial with example code






            share|improve this answer






























              0














              What you are searching for is a homography Transformation.



              First you need the positions of your 4 corner points of the image and then your have to define the destination of those 4 points. In your case it would be the image boundaries. If you have your destination points, you can call the function H, mask = cv.findHomography(srcPoints, dstPoints)(see documentation in calib3d module).



              The matrix H describes the transformation from your source image to the destination image. Next you need to apply the Matrix H on your image which can be done with the function
              dst = cv.warpPerspective(srcImage, destImage,H) (see documentation of this function here).



              If you want to do more stuff with the homography matrix, see OpenCv Homography tutorial with example code






              share|improve this answer




























                0












                0








                0







                What you are searching for is a homography Transformation.



                First you need the positions of your 4 corner points of the image and then your have to define the destination of those 4 points. In your case it would be the image boundaries. If you have your destination points, you can call the function H, mask = cv.findHomography(srcPoints, dstPoints)(see documentation in calib3d module).



                The matrix H describes the transformation from your source image to the destination image. Next you need to apply the Matrix H on your image which can be done with the function
                dst = cv.warpPerspective(srcImage, destImage,H) (see documentation of this function here).



                If you want to do more stuff with the homography matrix, see OpenCv Homography tutorial with example code






                share|improve this answer















                What you are searching for is a homography Transformation.



                First you need the positions of your 4 corner points of the image and then your have to define the destination of those 4 points. In your case it would be the image boundaries. If you have your destination points, you can call the function H, mask = cv.findHomography(srcPoints, dstPoints)(see documentation in calib3d module).



                The matrix H describes the transformation from your source image to the destination image. Next you need to apply the Matrix H on your image which can be done with the function
                dst = cv.warpPerspective(srcImage, destImage,H) (see documentation of this function here).



                If you want to do more stuff with the homography matrix, see OpenCv Homography tutorial with example code







                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Nov 25 '18 at 0:05

























                answered Nov 24 '18 at 23:39









                Ph1llip2Ph1llip2

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                1163
































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