OpenCV Python align 4 corners of an element
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
asked Nov 24 '18 at 23:06
MushMush
86
add a comment |
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
asked Nov 24 '18 at 23:06
MushMush
86
add a comment |
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
asked Nov 24 '18 at 23:06
MushMush
86
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
python opencv image-processing
asked Nov 24 '18 at 23:06
MushMush
86
asked Nov 24 '18 at 23:06
MushMush
86
asked Nov 24 '18 at 23:06
MushMush
86
asked Nov 24 '18 at 23:06
MushMush
86
asked Nov 24 '18 at 23:06
MushMush
86
86
add a comment |
add a comment |
1 Answer
1
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oldest
votes
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
answered Nov 24 '18 at 23:39
Ph1llip2Ph1llip2
1163
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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
answered Nov 24 '18 at 23:39
Ph1llip2Ph1llip2
1163
add a comment |
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
answered Nov 24 '18 at 23:39
Ph1llip2Ph1llip2
1163
add a comment |
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
answered Nov 24 '18 at 23:39
Ph1llip2Ph1llip2
1163
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
answered Nov 24 '18 at 23:39
Ph1llip2Ph1llip2
1163
edited Nov 25 '18 at 0:05
answered Nov 24 '18 at 23:39
Ph1llip2Ph1llip2
1163
answered Nov 24 '18 at 23:39
Ph1llip2Ph1llip2
1163
answered Nov 24 '18 at 23:39
Ph1llip2Ph1llip2
1163
1163
add a comment |
add a comment |
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