CN111667414A - Image distortion correction method and computer-readable storage medium - Google Patents
Image distortion correction method and computer-readable storage medium Download PDFInfo
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Abstract
The invention discloses an image distortion correction method and a computer readable storage medium, the method comprises: acquiring an original image and a distorted image; decomposing the distorted image to obtain a plurality of sub-images only containing a single distorted line segment; respectively acquiring distortion line segments in the sub-images, and respectively acquiring characteristic points of the distortion line segments; generating a correction curve according to the characteristic points of the distorted line segment and the original line segment corresponding to the distorted line segment; generating a corrected image according to the correction curve corresponding to each original line segment; projecting the corrected image. The invention can counteract the distortion generated after optical refraction and present correct images.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to an image distortion correction method and a computer-readable storage medium.
Background
With the continuous development of social economy and the improvement of living standard, more and more families begin to own automobiles. Nowadays, the driver assistance function can help people to realize the accurate control to the vehicle, and the navigation suggestion in the driver assistance equipment is gone with the vehicle like head-up display (HUD), and important information such as road conditions and speed of a motor vehicle, rotational speed shows on the front windshield in the car, lets the driver need not to bow at the in-process of going and looks over the panel board, has brought very big facility for driving.
However, the HUD projection effect is not ideal, and the image projected on the front windshield is distorted to some extent (image distortion is distortion, deviation, and dislocation of geometric positions of pixels of the image relative to a reference system during optical imaging, which changes the position, shape, orientation, and the like of the image to some extent), and affects the driver's observation of the display effect.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: an image distortion correction method and a computer readable storage medium are provided, which can cancel the distortion generated by optical refraction and present a correct image.
In order to solve the technical problems, the invention adopts the technical scheme that: an image distortion correction method comprising:
acquiring an original image and a distorted image;
decomposing the distorted image to obtain a plurality of sub-images only containing a single distorted line segment;
respectively acquiring distortion line segments in the sub-images, and respectively acquiring characteristic points of the distortion line segments;
generating a correction curve according to the characteristic points of the distorted line segment and the original line segment corresponding to the distorted line segment;
generating a corrected image according to the correction curve corresponding to each original line segment;
projecting the corrected image.
The invention also relates to a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of:
acquiring an original image and a distorted image;
decomposing the distorted image to obtain a plurality of sub-images only containing a single distorted line segment;
respectively acquiring distortion line segments in the sub-images, and respectively acquiring characteristic points of the distortion line segments;
generating a correction curve according to the characteristic points of the distorted line segment and the original line segment corresponding to the distorted line segment;
generating a corrected image according to the correction curve corresponding to each original line segment;
projecting the corrected image.
The invention has the beneficial effects that: decomposing the distorted image, respectively analyzing and processing each distorted line segment, and adjusting the original image to obtain a corrected image, so that a correct image without distortion is presented in the visual field of a driver; by the feature point-based analysis, the correction accuracy can be improved. The invention can counteract the distortion generated by the image projected on the front windshield after optical refraction, thereby acquiring the corrected correct image in the visual field of a driver and enhancing the use experience of the driver.
Drawings
FIG. 1 is a flowchart illustrating an image distortion correction method according to a first embodiment of the present invention;
FIG. 2 is a first schematic diagram illustrating a process of generating a calibration curve according to a first embodiment of the present invention;
FIG. 3 is a second schematic diagram illustrating a process of generating a calibration curve according to a first embodiment of the present invention;
FIG. 4 is a third schematic diagram illustrating a process of generating a calibration curve according to a first embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a principle of image distortion correction according to a first embodiment of the present invention.
Detailed Description
In order to explain technical contents, objects and effects of the present invention in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.
The most key concept of the invention is as follows: and respectively analyzing each distorted line segment in the distorted image, and reversely adjusting the original line segment.
Referring to fig. 1, an image distortion correction method includes:
acquiring an original image and a distorted image;
decomposing the distorted image to obtain a plurality of sub-images only containing a single distorted line segment;
respectively acquiring distortion line segments in the sub-images, and respectively acquiring characteristic points of the distortion line segments;
generating a correction curve according to the characteristic points of the distorted line segment and the original line segment corresponding to the distorted line segment;
generating a corrected image according to the correction curve corresponding to each original line segment;
projecting the corrected image.
From the above description, the beneficial effects of the present invention are: the distortion generated after the optical refraction can be counteracted, and a correct image is presented.
Further, the respectively obtaining the distortion line segments in the sub-images specifically includes:
carrying out graying processing on a sub-image;
respectively carrying out binarization processing on the sub-image after the graying processing according to a preset threshold value;
and obtaining pixel points with the gray value of a preset gray value in the sub-image after the binarization processing to obtain distorted line segments.
From the above description, a more accurate distorted line segment can be obtained.
Further, the feature points include a start point, an end point, a most significant point between the start point and the end point, a bisector between the start point and the most significant point, and a bisector between the most significant point and the end point.
Further, the generating a correction curve according to the feature points of the distorted line segment and the original line segment corresponding to the distorted line segment specifically includes:
obtaining a distorted line segment and an original line segment corresponding to the distorted line segment;
acquiring original points of the original line segment, which respectively correspond to the characteristic points of the distorted line segment;
making a first straight line, wherein the first straight line passes through the maximum point on the distorted line segment and is parallel to the straight line where the starting point and the end point of the original line segment are located;
respectively calculating the distance from each characteristic point to the first straight line;
respectively acquiring correction points corresponding to the original points according to the distance of each characteristic point;
a correction curve is generated from the correction points.
As can be seen from the above description, the accuracy of correction is ensured by performing the reverse adjustment according to the deviation value.
Further, the original line segment corresponding to the distorted line segment is a straight line segment;
the generating of the correction curve according to the feature points of the distorted line segment and the original line segment corresponding to the distorted line segment specifically comprises:
obtaining a distorted line segment and an original line segment corresponding to the distorted line segment;
taking the starting point of the distorted line segment as an origin, taking the straight line of the original line segment as a coordinate axis, and establishing a rectangular coordinate system;
calculating to obtain a second coordinate value set of the distortion line segment in the rectangular coordinate system according to the first coordinate value set of the distortion line segment in the sub-image;
fitting to obtain a corresponding curve formula according to the second coordinate value set of the distorted line segment;
according to the curve formula and a second coordinate value of the characteristic point in the rectangular coordinate system, obtaining the curvature of the distorted line segment at each characteristic point;
and carrying out reverse rotation on the original line segment corresponding to the distorted line segment according to the curvature of each characteristic point to obtain a correction curve.
As can be seen from the above description, by performing the inverse adjustment according to the curvature, the data processing amount can be reduced, and the correction efficiency can be improved.
The invention also proposes a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of:
acquiring an original image and a distorted image;
decomposing the distorted image to obtain a plurality of sub-images only containing a single distorted line segment;
respectively acquiring distortion line segments in the sub-images, and respectively acquiring characteristic points of the distortion line segments;
generating a correction curve according to the characteristic points of the distorted line segment and the original line segment corresponding to the distorted line segment;
generating a corrected image according to the correction curve corresponding to each original line segment;
projecting the corrected image.
Further, the respectively obtaining the distortion line segments in the sub-images specifically includes:
carrying out graying processing on a sub-image;
respectively carrying out binarization processing on the sub-image after the graying processing according to a preset threshold value;
and obtaining pixel points with the gray value of a preset gray value in the sub-image after the binarization processing to obtain distorted line segments.
Further, the feature points include a start point, an end point, a most significant point between the start point and the end point, a bisector between the start point and the most significant point, and a bisector between the most significant point and the end point.
Further, the generating a correction curve according to the feature points of the distorted line segment and the original line segment corresponding to the distorted line segment specifically includes:
obtaining a distorted line segment and an original line segment corresponding to the distorted line segment;
acquiring original points of the original line segment, which respectively correspond to the characteristic points of the distorted line segment;
making a first straight line, wherein the first straight line passes through the maximum point on the distorted line segment and is parallel to the straight line where the starting point and the end point of the original line segment are located;
respectively calculating the distance from each characteristic point to the first straight line;
respectively acquiring correction points corresponding to the original points according to the distance of each characteristic point;
a correction curve is generated from the correction points.
Further, the original line segment corresponding to the distorted line segment is a straight line segment;
the generating of the correction curve according to the feature points of the distorted line segment and the original line segment corresponding to the distorted line segment specifically comprises:
obtaining a distorted line segment and an original line segment corresponding to the distorted line segment;
taking the starting point of the distorted line segment as an origin, taking the straight line of the original line segment as a coordinate axis, and establishing a rectangular coordinate system;
calculating to obtain a second coordinate value set of the distortion line segment in the rectangular coordinate system according to the first coordinate value set of the distortion line segment in the sub-image;
fitting to obtain a corresponding curve formula according to the second coordinate value set of the distorted line segment;
according to the curve formula and a second coordinate value of the characteristic point in the rectangular coordinate system, obtaining the curvature of the distorted line segment at each characteristic point;
and carrying out reverse rotation on the original line segment corresponding to the distorted line segment according to the curvature of each characteristic point to obtain a correction curve.
Example one
Referring to fig. 1-5, a first embodiment of the present invention is: an image distortion correction method, applicable to distortion correction of HUD projection images, comprises the following steps:
s1: acquiring an original image and a distorted image; namely, the original image before projection and the distorted image after projection are obtained.
S2: decomposing the distorted image to obtain a plurality of sub-images only containing a single distorted line segment; specifically, a distorted line segment in the distorted image may be selected first, and the other parts may be blanked to obtain a sub-image including only the distorted line segment, and then a next distorted line segment may be selected, and the other parts may be blanked, and so on.
Further, if a distorted line segment includes more than two peaks, such as a double peak or a wave, the line segment formula of the distorted line segment can be calculated through the coordinates of the distorted line segment in the distorted image, then the points with the second derivative equal to 0 are calculated for the formula, and the points are used as the dividing points to divide the distorted line segment into a plurality of lines. That is, the single distortion line segment obtained is a curved line segment or a straight line segment containing only one peak.
S3: and respectively acquiring distortion line segments in the sub-images, and respectively acquiring characteristic points of the distortion line segments.
Specifically, graying a sub-image; then, according to a preset threshold value, respectively carrying out binarization processing on the sub-image after the graying processing, wherein the gray value of a pixel point of a background part in the sub-image can be set to be 0, and the gray value of a pixel point of an object part can be set to be 1; and then obtaining pixel points with the gray value of 1 in the sub-image after binarization processing, so as to obtain distorted line segments. The initial value of the preset threshold may be 0.5, and if the distorted line segment cannot be obtained, the adjustment is performed, such as 0.6 and 0.7, to filter out more background portions.
And then selecting characteristic points in the distorted line segment, wherein the characteristic points are preferably points capable of reflecting the specific line type of the line segment, and comprise a starting point, an end point, a maximum point between the starting point and the end point, an equant point between the starting point and the maximum point, and an equant point between the maximum point and the end point, wherein the maximum point can be a highest point of a protrusion or a lowest point of a depression, and the equant point can be a trisection point.
S4: and generating a correction curve according to the characteristic points of the distorted line segment and the original line segment corresponding to the distorted line segment.
Specifically, a distorted line segment and an original line segment corresponding to the distorted line segment are obtained, and original points corresponding to feature points of the distorted line segment on the original line segment are obtained. In this embodiment, an original line segment corresponding to the distorted line segment is taken as an example for explanation, and it is assumed that a start point and an end point of the distorted line segment coincide with a start point and an end point of the original line segment corresponding thereto, respectively, and then a group of distorted line segments and the original line segments corresponding thereto are obtained, as shown in fig. 2, the straight line segment is an original line segment, the curve segment is a distorted line segment, points a and G are a start point and an end point, respectively, point D 'is a maximum point of the distorted line segment, point D is an original point corresponding to point D', point B and point C are trisection points of AD, point E and point F are trisection points of DG, and point B ', point C', point E ', and point F' are feature points corresponding to the points B, point C, point E, and point F, respectively (a connection line of the feature points and the original points corresponding thereto is perpendicular to the original line segment. That is, in the present embodiment, the bisector in the feature points is obtained from the bisector in the original point.
And then, making a first straight line which passes through a maximum point D' on the distorted line segment and is parallel to a straight line where a starting point and an end point of the original line segment are located, wherein the original line segment is a straight line segment, so that the original line segment is parallel to the original line segment, and then respectively calculating to obtain the distance from each characteristic point to the first straight line. As shown in FIG. 3, AA ' is perpendicular to the first straight line, B ' is perpendicular to the first straight line, C ' is perpendicular to the first straight line, E ' is perpendicular to the first straight line, F ' is perpendicular to the first straight line, GG ' is perpendicular to the first straight line, the distance from the feature point D ' to the first straight line is 0, and the distances from other feature points to the first straight line are respectively the distances from AA ', B ', C ' C ", E ' E", F ' and GG '.
Further, a rectangular coordinate system may be established with the origin, i.e. the point a, as the origin, and the straight line of the original line segment as the coordinate axis (e.g. X axis), and the coordinate values of the points in the graph in the rectangular coordinate system may be obtained by analyzing according to the coordinate values of the original line segment in the original image and the coordinate values of the distorted line segment in the distorted image, and then the distances AA ', B' B ", C 'C", E' E ", F 'F", GG' may be obtained by coordinate value calculation or by vector calculation.
Then, acquiring correction points corresponding to the original points according to the distances of the characteristic points; specifically, a correction point is made on the same side of the distorted line segment with respect to the original line segment, and the distance between the correction point and its corresponding original point is equal to the distance from the corresponding feature point to the first straight line. As shown in fig. 4, the correction point of point a is point a ', the correction point of point G is point G ', the correction point of point D ' is point D, then B ' ", the distance between BB '" is equal to B ' B ", and so on, to obtain C '", E ' ", F '".
Finally, a correction curve is generated according to the correction points, namely, the correction curves are generated according to A ', B', C ', D, E', F ', G'.
S5: generating a corrected image according to the correction curve corresponding to each original line segment; specifically, the start point and the end point of the correction curve may be respectively overlapped with the positions of the start point and the end point of the original line segment in the original image, so as to obtain the corrected image.
S6: projecting the corrected image. As shown in fig. 5, (a) is an original image and is projected as a distorted image (b), and (c) is a corrected image obtained from the distorted image and is projected as a correct image (d).
The embodiment is based on the image processing technology, the image information source can be acquired through the shooting module, the image is analyzed and processed through the correction module to generate a correction image, and finally the correction image is projected onto the front windshield of the vehicle through the projection module, so that the distortion generated by the image projected onto the front windshield after optical refraction can be counteracted, the corrected correct image can be acquired in the field of vision of a driver, and the use experience of the driver can be enhanced.
Example two
The present embodiment is another implementation manner of the first embodiment in the step S4, when the original line segment corresponding to the distorted line segment is a straight line segment.
Firstly, obtaining a distorted line segment and an original line segment corresponding to the distorted line segment;
then, taking the starting point of the distorted line segment as an origin, taking the straight line where the original line segment is located as a coordinate axis, and establishing a rectangular coordinate system; similarly, a second coordinate value set of the distortion line segment in the rectangular coordinate system can be calculated according to the first coordinate value set of the distortion line segment in the sub-image.
Then, according to the second coordinate value set of the distorted line segment, fitting to obtain a corresponding curve formula, wherein the coordinate value set is a coordinate value of a preset point on the distorted line segment, and the more the number of the preset points is, the more accurate the curve formula obtained by fitting is, and the preset points can contain characteristic points; further, the optimized curve formula can be obtained by an approximation method.
Then, according to the curve formula and a second coordinate value of the characteristic point in the rectangular coordinate system, obtaining the curvature of the distorted line segment at each characteristic point; the curvature of the distorted line segment at each characteristic point can be calculated by using the existing curvature calculation formula.
And finally, carrying out reverse rotation on the original line segment corresponding to the distorted line segment according to the curvature of each characteristic point to obtain a correction curve. Specifically, each original point on the original line segment corresponding to each feature point may be obtained first, and then the correction curve may be obtained by performing reverse rotation according to the curvature of the corresponding feature point.
In the embodiment, by calculating the curvature, in the distortion correction process of the fixed image, the correction of the multiple-cycle distortion image is not needed in real time, only the curvature parameter which is calculated in advance is input into the system, and the correction is performed once, so that the data processing amount of the system is greatly reduced, the system operation speed is increased, and the efficiency is improved.
EXAMPLE III
The present embodiment is a computer-readable storage medium corresponding to the above-described embodiments, on which a computer program is stored, which when executed by a processor, implements the steps of:
acquiring an original image and a distorted image;
decomposing the distorted image to obtain a plurality of sub-images only containing a single distorted line segment;
respectively acquiring distortion line segments in the sub-images, and respectively acquiring characteristic points of the distortion line segments;
generating a correction curve according to the characteristic points of the distorted line segment and the original line segment corresponding to the distorted line segment;
generating a corrected image according to the correction curve corresponding to each original line segment;
projecting the corrected image.
Further, the respectively obtaining the distortion line segments in the sub-images specifically includes:
carrying out graying processing on a sub-image;
respectively carrying out binarization processing on the sub-image after the graying processing according to a preset threshold value;
and obtaining pixel points with the gray value of a preset gray value in the sub-image after the binarization processing to obtain distorted line segments.
Further, the feature points include a start point, an end point, a most significant point between the start point and the end point, a bisector between the start point and the most significant point, and a bisector between the most significant point and the end point.
Further, the generating a correction curve according to the feature points of the distorted line segment and the original line segment corresponding to the distorted line segment specifically includes:
obtaining a distorted line segment and an original line segment corresponding to the distorted line segment;
acquiring original points of the original line segment, which respectively correspond to the characteristic points of the distorted line segment;
making a first straight line, wherein the first straight line passes through the maximum point on the distorted line segment and is parallel to the straight line where the starting point and the end point of the original line segment are located;
respectively calculating the distance from each characteristic point to the first straight line;
respectively acquiring correction points corresponding to the original points according to the distance of each characteristic point;
a correction curve is generated from the correction points.
Further, the original line segment corresponding to the distorted line segment is a straight line segment;
the generating of the correction curve according to the feature points of the distorted line segment and the original line segment corresponding to the distorted line segment specifically comprises:
obtaining a distorted line segment and an original line segment corresponding to the distorted line segment;
taking the starting point of the distorted line segment as an origin, taking the straight line of the original line segment as a coordinate axis, and establishing a rectangular coordinate system;
calculating to obtain a second coordinate value set of the distortion line segment in the rectangular coordinate system according to the first coordinate value set of the distortion line segment in the sub-image;
fitting to obtain a corresponding curve formula according to the second coordinate value set of the distorted line segment;
according to the curve formula and a second coordinate value of the characteristic point in the rectangular coordinate system, obtaining the curvature of the distorted line segment at each characteristic point;
and carrying out reverse rotation on the original line segment corresponding to the distorted line segment according to the curvature of each characteristic point to obtain a correction curve.
In summary, the image distortion correction method and the computer-readable storage medium provided by the present invention decompose the distorted image, analyze and process each distorted line segment, and adjust the original image, so as to obtain a corrected image, and enable the driver to present a correct image without distortion in the visual field; by the feature point-based analysis, the correction accuracy can be improved. The invention can counteract the distortion generated by the image projected on the front windshield after optical refraction, thereby acquiring the corrected correct image in the visual field of a driver and enhancing the use experience of the driver.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.
Claims (10)
1. An image distortion correction method, comprising:
acquiring an original image and a distorted image;
decomposing the distorted image to obtain a plurality of sub-images only containing a single distorted line segment;
respectively acquiring distortion line segments in the sub-images, and respectively acquiring characteristic points of the distortion line segments;
generating a correction curve according to the characteristic points of the distorted line segment and the original line segment corresponding to the distorted line segment;
generating a corrected image according to the correction curve corresponding to each original line segment;
projecting the corrected image.
2. The image distortion correction method according to claim 1, wherein the respectively obtaining distortion line segments in the sub-images specifically includes:
carrying out graying processing on a sub-image;
respectively carrying out binarization processing on the sub-image after the graying processing according to a preset threshold value;
and obtaining pixel points with the gray value of a preset gray value in the sub-image after the binarization processing to obtain distorted line segments.
3. The image distortion correction method according to claim 1, wherein the feature points include a start point, an end point, a most significant point between the start point and the end point, a bisector between the start point and the most significant point, and a bisector between the most significant point and the end point.
4. The image distortion correction method according to claim 3, wherein the generating of the correction curve according to the feature points of the distortion line segment and the original line segment corresponding to the distortion line segment specifically includes:
obtaining a distorted line segment and an original line segment corresponding to the distorted line segment;
acquiring original points of the original line segment, which respectively correspond to the characteristic points of the distorted line segment;
making a first straight line, wherein the first straight line passes through the maximum point on the distorted line segment and is parallel to the straight line where the starting point and the end point of the original line segment are located;
respectively calculating the distance from each characteristic point to the first straight line;
respectively acquiring correction points corresponding to the original points according to the distance of each characteristic point;
a correction curve is generated from the correction points.
5. The image distortion correction method of claim 3, wherein the original line segment corresponding to the distorted line segment is a straight line segment;
the generating of the correction curve according to the feature points of the distorted line segment and the original line segment corresponding to the distorted line segment specifically comprises:
obtaining a distorted line segment and an original line segment corresponding to the distorted line segment;
taking the starting point of the distorted line segment as an origin, taking the straight line of the original line segment as a coordinate axis, and establishing a rectangular coordinate system;
calculating to obtain a second coordinate value set of the distortion line segment in the rectangular coordinate system according to the first coordinate value set of the distortion line segment in the sub-image;
fitting to obtain a corresponding curve formula according to the second coordinate value set of the distorted line segment;
according to the curve formula and a second coordinate value of the characteristic point in the rectangular coordinate system, obtaining the curvature of the distorted line segment at each characteristic point;
and carrying out reverse rotation on the original line segment corresponding to the distorted line segment according to the curvature of each characteristic point to obtain a correction curve.
6. A computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, carries out the steps of:
acquiring an original image and a distorted image;
decomposing the distorted image to obtain a plurality of sub-images only containing a single distorted line segment;
respectively acquiring distortion line segments in the sub-images, and respectively acquiring characteristic points of the distortion line segments;
generating a correction curve according to the characteristic points of the distorted line segment and the original line segment corresponding to the distorted line segment;
generating a corrected image according to the correction curve corresponding to each original line segment;
projecting the corrected image.
7. The computer-readable storage medium of claim 6, wherein the obtaining the distortion line segments in the sub-images respectively is specifically:
carrying out graying processing on a sub-image;
respectively carrying out binarization processing on the sub-image after the graying processing according to a preset threshold value;
and obtaining pixel points with the gray value of a preset gray value in the sub-image after the binarization processing to obtain distorted line segments.
8. The computer-readable storage medium of claim 6, wherein the feature points comprise a start point, an end point, a most significant point between the start point and the end point, a bisector point between the start point and the most significant point, and a bisector point between the most significant point and the end point.
9. The computer-readable storage medium according to claim 8, wherein the generating a correction curve according to the feature points of the distorted line segment and the original line segment corresponding to the distorted line segment specifically includes:
obtaining a distorted line segment and an original line segment corresponding to the distorted line segment;
acquiring original points of the original line segment, which respectively correspond to the characteristic points of the distorted line segment;
making a first straight line, wherein the first straight line passes through the maximum point on the distorted line segment and is parallel to the straight line where the starting point and the end point of the original line segment are located;
respectively calculating the distance from each characteristic point to the first straight line;
respectively acquiring correction points corresponding to the original points according to the distance of each characteristic point;
a correction curve is generated from the correction points.
10. The computer-readable storage medium of claim 8, wherein the distorted line segment corresponds to an original line segment that is a straight line segment;
the generating of the correction curve according to the feature points of the distorted line segment and the original line segment corresponding to the distorted line segment specifically comprises:
obtaining a distorted line segment and an original line segment corresponding to the distorted line segment;
taking the starting point of the distorted line segment as an origin, taking the straight line of the original line segment as a coordinate axis, and establishing a rectangular coordinate system;
calculating to obtain a second coordinate value set of the distortion line segment in the rectangular coordinate system according to the first coordinate value set of the distortion line segment in the sub-image;
fitting to obtain a corresponding curve formula according to the second coordinate value set of the distorted line segment;
according to the curve formula and a second coordinate value of the characteristic point in the rectangular coordinate system, obtaining the curvature of the distorted line segment at each characteristic point;
and carrying out reverse rotation on the original line segment corresponding to the distorted line segment according to the curvature of each characteristic point to obtain a correction curve.
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Cited By (4)
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| CN112070705A (en) * | 2020-11-16 | 2020-12-11 | 天津天瞳威势电子科技有限公司 | Camera evaluation method and device and storage medium |
| CN112164377A (en) * | 2020-08-27 | 2021-01-01 | 江苏泽景汽车电子股份有限公司 | Self-adaption method for HUD image correction |
| CN114302044A (en) * | 2021-12-30 | 2022-04-08 | 江西盛泰精密光学有限公司 | AA assembling method for medical lens module |
| CN115760595A (en) * | 2022-10-26 | 2023-03-07 | 中国电子科技集团公司第五十四研究所 | Ultra-wide-angle lens photo distortion correction method based on line segment characteristics |
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- 2019-03-06 CN CN201910167303.5A patent/CN111667414A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112164377A (en) * | 2020-08-27 | 2021-01-01 | 江苏泽景汽车电子股份有限公司 | Self-adaption method for HUD image correction |
| CN112164377B (en) * | 2020-08-27 | 2022-04-01 | 江苏泽景汽车电子股份有限公司 | Self-adaption method for HUD image correction |
| CN112070705A (en) * | 2020-11-16 | 2020-12-11 | 天津天瞳威势电子科技有限公司 | Camera evaluation method and device and storage medium |
| CN112070705B (en) * | 2020-11-16 | 2021-02-02 | 天津天瞳威势电子科技有限公司 | Camera evaluation method and device and storage medium |
| CN114302044A (en) * | 2021-12-30 | 2022-04-08 | 江西盛泰精密光学有限公司 | AA assembling method for medical lens module |
| CN114302044B (en) * | 2021-12-30 | 2023-11-28 | 江西盛泰精密光学有限公司 | AA assembling method for medical lens module |
| CN115760595A (en) * | 2022-10-26 | 2023-03-07 | 中国电子科技集团公司第五十四研究所 | Ultra-wide-angle lens photo distortion correction method based on line segment characteristics |
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