CN111325669A - Correction scale for oblique photography and oblique photography image correction method - Google Patents
Correction scale for oblique photography and oblique photography image correction method Download PDFInfo
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- CN111325669A CN111325669A CN202010145575.8A CN202010145575A CN111325669A CN 111325669 A CN111325669 A CN 111325669A CN 202010145575 A CN202010145575 A CN 202010145575A CN 111325669 A CN111325669 A CN 111325669A
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- 238000012937 correction Methods 0.000 title claims description 25
- 238000003702 image correction Methods 0.000 title claims description 12
- 230000009466 transformation Effects 0.000 claims abstract description 36
- 239000011159 matrix material Substances 0.000 claims description 20
- 238000013507 mapping Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 5
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/60—Rotation of whole images or parts thereof
- G06T3/608—Rotation of whole images or parts thereof by skew deformation, e.g. two-pass or three-pass rotation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
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Abstract
The invention discloses a correcting ruler for oblique shooting and a method for correcting an oblique shooting image, wherein the method comprises the following steps: acquiring an image to be corrected containing a correcting ruler, and respectively acquiring picture center points of four sign pictures arranged on the correcting ruler in the image to be corrected; and carrying out perspective transformation on the image to be corrected according to the central point of the image to obtain a corrected image. The invention corrects the obliquely shot picture under the condition of not changing the field environment, so that the corrected picture can reflect objective contents to the maximum extent.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a correcting ruler for oblique shooting and an oblique shooting image correcting method.
Background
The field survey is an essential link in the process of handling cases by public security. In the field investigation process, the personnel handling the case need to take a large number of pictures of the field. Many times, on-site desk clerks cannot shoot strictly according to the operation procedures, sometimes are limited to on-site environmental factors (such as shelters), and because the on-site environment is not allowed to change, the desk clerks cannot shoot from right above the object, so that the shot picture is deformed due to oblique shooting.
In addition, when taking a picture of the footprint, a survey technician typically places a ruler or a survey-dedicated L-shaped ruler as a reference scale beside the footprint, so that the length and width of the footprint can be calculated on the picture. However, if the picture is taken at an unknown inclination angle, the zoom ratios of the picture are inconsistent, and the relative size of the footprint in the picture cannot be accurately measured through the scale.
Disclosure of Invention
The embodiment of the invention provides a correcting ruler for oblique shooting and an oblique shooting image correcting method, which are used for solving the problems in the prior art.
The embodiment of the invention provides a correcting ruler for oblique shooting, which comprises:
the correcting ruler is at least provided with four sign pictures for correcting pictures.
The embodiment of the invention also provides a method for correcting the oblique shooting image, which comprises the following steps:
acquiring an image to be corrected containing a correcting ruler, and respectively acquiring picture center points of four sign pictures arranged on the correcting ruler in the image to be corrected;
and carrying out perspective transformation on the image to be corrected according to the central point of the image to obtain a corrected image.
An embodiment of the present invention further provides an apparatus for correcting an image captured at an oblique angle, including: the device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the computer program realizes the steps of the inclination shooting image correction method when being executed by the processor.
The embodiment of the invention also provides a computer readable storage medium, wherein an implementation program for information transmission is stored on the computer readable storage medium, and the program is executed by a processor to implement the steps of the oblique shooting image correction method.
By adopting the embodiment of the invention, the obliquely shot picture is corrected under the condition of not changing the field environment, so that the corrected picture can reflect objective contents to the maximum extent.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic view of a correction scale for oblique photographing according to an embodiment of the present invention;
fig. 2 is a flowchart of a tilt shot image correction method of an embodiment of the present invention;
fig. 3 is a schematic diagram of detailed processing of the tilt shot image correction method of the embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating the matching effect of feature points of a logo picture according to an embodiment of the present invention;
FIG. 5 is a schematic diagram illustrating an effect of calculating center points of four marker pictures according to an embodiment of the present invention;
FIG. 6 is a schematic illustration of a pre-corrected image according to an embodiment of the invention;
FIG. 7 is a schematic illustration of a pre-correction image of an embodiment of the present invention;
fig. 8 is a schematic diagram of a tilt-shooting image correction apparatus of an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Apparatus embodiment one
According to an embodiment of the present invention, a correction scale for oblique photography is provided, and fig. 1 is a schematic view of the correction scale for oblique photography according to the embodiment of the present invention, as shown in fig. 1, the correction scale is provided with at least four sign pictures for picture correction. That is, in the embodiment of the present invention, the number of the logo pictures is at least 4. Specifically, in one embodiment of the present invention, the calibration scale may be a rectangle, and the mark picture is disposed at four corners of the rectangle. In another embodiment of the present invention, as shown in fig. 1, the calibration ruler may be a concave shape, and the logo images are disposed at four corners of the concave shape. Furthermore, scales are provided on the sides of the correction scale.
As shown in FIG. 1, the Contraband-shaped correction ruler has an inner length of 35-40 cm and a width of 17-20 cm, and can completely cover a footprint. Besides the conventional length scale, the four corners of the correcting ruler are respectively provided with a different marking picture which is similar to the structure of a two-dimensional code.
By adopting the technical scheme of the embodiment of the invention, the Contraband-shaped correcting ruler is used for replacing the traditional straight ruler or L ruler, so that the method not only can be used for expressing the image proportion, but also can be used for correcting the deformation of the image. This correction capability is camera independent. In addition, the four corners of the 'Contraband' font correcting ruler use the logo images of the two-dimensional code type with fixed content, so that the logo images are easily matched by the classical image algorithm, thereby accurately obtaining the quadrilateral range enclosed by the four corners of the 'Contraband' font correcting ruler, and no matter how the quadrilateral shows deformation on the image, the quadrilateral corresponds to a rectangle with a known size, so that the image content in the range can be corrected by the classical projection transformation algorithm.
Method embodiment
According to an embodiment of the present invention, there is provided a method for correcting an image captured at an inclination, fig. 2 is a flowchart of the method for correcting an image captured at an inclination according to an embodiment of the present invention, and as shown in fig. 2, the method for correcting an image captured at an inclination according to an embodiment of the present invention specifically includes:
step 201, acquiring an image to be corrected containing a correction scale, and respectively acquiring picture center points of four sign pictures set on the correction scale in the image to be corrected; the method specifically comprises the following steps:
1. acquiring a first Scale-invariant feature transform (SIFT) feature point of a pre-stored mark picture;
2. acquiring a second SIFT feature point of the image to be corrected;
3. matching the first SIFT feature points and the second SIFT feature points, and respectively recording the matched feature points and the corresponding relations thereof;
4. deleting mismatching feature points based on a Random sample consensus (RANSAC);
5. obtaining a first optimal single mapping transformation matrix according to the finally matched feature points;
6. and respectively calculating the picture center points of the four sign pictures arranged at the four corners of the correcting ruler in the image to be corrected according to the center points of the sign pictures stored in advance and the first optimal single mapping transformation matrix.
Step 202, performing perspective transformation on the image to be corrected according to the picture center point to obtain a corrected image. In the embodiment of the invention, the image to be corrected is a top-view oblique shot image, and the corrected image is a top-view forward shot image.
Step 202 specifically includes the following processing:
1. determining the height and width of the corrected image according to the position relationship of the image center points of four sign images arranged on a correcting ruler in the image to be corrected, and deducing four target center points of the four sign images, wherein the positions of the four target center points are four corners of the corrected image;
2. obtaining a second optimal single mapping transformation matrix according to the four picture center points and the four target center points;
3. and carrying out perspective transformation on the image according to the second optimal single mapping transformation matrix to finally obtain a corrected image.
The above technical solutions of the embodiments of the present invention are described in detail below with reference to the accompanying drawings.
In an embodiment of the invention, when taking a picture, a correction scale as shown in fig. 1 is placed around the footprint. Four corners of the correcting ruler are respectively provided with a mark picture, the center of each mark picture is found through the matching of the mark pictures, and the perspective transformation of the image is carried out through the four center points.
In the embodiment of the invention, two algorithm functions of classical image matching and perspective transformation are mainly included, and four marker maps on the correcting ruler also need to be stored in advance. After the footmark picture shot with the Contraband-shaped ruler is called, the central point of each mark map on the footmark picture can be found through a classical image matching algorithm; the quadrangle formed by sequentially connecting the four central points presents an irregular quadrangle due to oblique shooting, and can be corrected into a correct rectangle by using a perspective transformation algorithm of a classical digital image, so that pixels in the irregular quadrangle can be mapped into the correct rectangle, and the correction of the image is realized.
Fig. 3 is a schematic diagram of detailed processing of the tilt-shooting image correction method according to the embodiment of the present invention, and as shown in fig. 3, the method specifically includes the following processing:
step 1, acquiring a picture to be corrected and a sign picture;
step 2, acquiring SIFT feature points of a pre-stored mark picture;
step 3, acquiring SIFT feature points of the image to be corrected;
step 4, as shown in fig. 4, matching two groups of feature points, and respectively recording the matched feature points and the corresponding relations thereof;
step 5, deleting the characteristic points which are mismatched according to the principle of the RANSAC algorithm;
step 6, obtaining an optimal single mapping transformation matrix according to the two groups of matched characteristic points, and calculating the central point of the mark on the picture according to the central point of the mark picture, namely the matrix;
and 7, as shown in fig. 5, performing perspective transformation on the picture through four central points. The specific transformation operation is as follows:
firstly, central points of four marks on the graph are obtained according to a characteristic point matching algorithm. And secondly, deriving target center points of the four marks (the positions of the four target center points are four corners of the corrected image, and the target center points are derived according to the relationship between the positions of the center points of the four marks (mainly, the distances between the four points roughly determine the height and the width of the corrected image). And thirdly, obtaining an optimal single mapping transformation matrix according to two groups of central points (the two groups of characteristic points, four points in each group correspond to the central points of the mark on the original image and the correction image respectively, so that no mismatching exists). And fourthly, carrying out perspective transformation on the image according to the matrix to finally obtain a target image. The image before correction is shown in fig. 6, and the image after correction is shown in fig. 7.
The system can be suitable for any shooting equipment by combining the correcting ruler to leave the correcting mark in the shot picture, finding the mark in the image through the algorithm and correcting the image.
Device embodiment II
An embodiment of the present invention provides an oblique shooting image correction apparatus, as shown in fig. 8, including: a memory 80, a processor 82 and a computer program stored on the memory 80 and executable on the processor 82, which computer program, when executed by the processor 82, performs the following method steps:
step 201, acquiring an image to be corrected containing a correction scale, and respectively acquiring picture center points of four sign pictures set on the correction scale in the image to be corrected; the method specifically comprises the following steps:
1. acquiring a first Scale-invariant feature transform (SIFT) feature point of a pre-stored mark picture;
2. acquiring a second SIFT feature point of the image to be corrected;
3. matching the first SIFT feature points and the second SIFT feature points, and respectively recording the matched feature points and the corresponding relations thereof;
4. deleting mismatching feature points based on a Random sample consensus (RANSAC);
5. obtaining a first optimal single mapping transformation matrix according to the finally matched feature points;
6. and respectively calculating the picture center points of the four sign pictures set on the correcting scale in the image to be corrected according to the center points of the sign pictures stored in advance and the first optimal single mapping transformation matrix.
Step 202, performing perspective transformation on the image to be corrected according to the picture center point to obtain a corrected image. In the embodiment of the invention, the image to be corrected is a top-view oblique shot image, and the corrected image is a top-view forward shot image.
Step 202 specifically includes the following processing:
1. determining the height and width of the corrected image according to the position relationship of the image center points of four sign images arranged on a correcting ruler in the image to be corrected, and deducing four target center points of the four sign images, wherein the positions of the four target center points are four corners of the corrected image;
2. obtaining a second optimal single mapping transformation matrix according to the four picture center points and the four target center points;
3. and carrying out perspective transformation on the image according to the second optimal single mapping transformation matrix to finally obtain a corrected image.
Device embodiment III
The embodiment of the invention provides a computer readable storage medium, wherein an implementation program for information transmission is stored on the computer readable storage medium, and when being executed by a processor 82, the implementation program realizes the following method steps:
step 201, acquiring an image to be corrected containing a correction scale, and respectively acquiring picture center points of four sign pictures set on the correction scale in the image to be corrected; the method specifically comprises the following steps:
1. acquiring a first Scale-invariant feature transform (SIFT) feature point of a pre-stored mark picture;
2. acquiring a second SIFT feature point of the image to be corrected;
3. matching the first SIFT feature points and the second SIFT feature points, and respectively recording the matched feature points and the corresponding relations thereof;
4. deleting mismatching feature points based on a Random sample consensus (RANSAC);
5. obtaining a first optimal single mapping transformation matrix according to the finally matched feature points;
6. and respectively calculating the picture center points of the four sign pictures set on the correcting scale in the image to be corrected according to the center points of the sign pictures stored in advance and the first optimal single mapping transformation matrix.
Step 202, performing perspective transformation on the image to be corrected according to the picture center point to obtain a corrected image. In the embodiment of the invention, the image to be corrected is a top-view oblique shot image, and the corrected image is a top-view forward shot image.
Step 202 specifically includes the following processing:
1. determining the height and width of the corrected image according to the position relationship of the image center points of four sign images arranged on a correcting ruler in the image to be corrected, and deducing four target center points of the four sign images, wherein the positions of the four target center points are four corners of the corrected image;
2. obtaining a second optimal single mapping transformation matrix according to the four picture center points and the four target center points;
3. and carrying out perspective transformation on the image according to the second optimal single mapping transformation matrix to finally obtain a corrected image.
The computer-readable storage medium of this embodiment includes, but is not limited to: ROM, RAM, magnetic or optical disks, and the like.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
In summary, according to the technical solution of the embodiment of the present invention, the obliquely photographed picture is corrected without changing the field environment, so that the corrected picture can reflect objective contents to the maximum extent.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A correcting ruler for oblique shooting is characterized in that at least four sign pictures for picture correction are arranged on the correcting ruler.
2. The ruler of claim 1, wherein the ruler is a rectangle, and the four logo images are disposed at four corners of the rectangle.
3. The ruler of claim 1, wherein the ruler is a concave shape, and the four logo images are disposed at four corners of the concave shape.
4. The alignment ruler of claim 1 wherein the alignment ruler is provided with graduations.
5. A method for correcting an image taken at an oblique angle,
acquiring an image to be corrected containing a correcting ruler, and respectively acquiring picture center points of four sign pictures arranged on the correcting ruler in the image to be corrected;
and carrying out perspective transformation on the image to be corrected according to the picture center point to obtain a corrected image.
6. The method according to claim 1, wherein the acquiring an image to be corrected including a correction scale, and the respectively acquiring picture center points of four sign pictures set on the correction scale in the image to be corrected specifically comprises:
acquiring a first Scale Invariant Feature Transform (SIFT) feature point of a pre-stored mark picture;
acquiring a second SIFT feature point of the image to be corrected;
matching the first SIFT feature points and the second SIFT feature points, and respectively recording the matched feature points and the corresponding relations thereof;
deleting the characteristic points which are mismatched based on a random sample consensus (RANSAC);
obtaining a first optimal single mapping transformation matrix according to the finally matched feature points;
and respectively calculating the picture center points of the four sign pictures arranged at the four corners of the correcting ruler in the image to be corrected according to the center points of the sign pictures stored in advance and the first optimal single mapping transformation matrix.
7. The method according to claim 5, wherein performing perspective transformation on the image to be corrected according to the picture center point to obtain a corrected image specifically comprises:
determining the height and width of the corrected image according to the position relationship of the image center points of four sign images arranged on a correcting ruler in the image to be corrected, and deducing four target center points of the four sign images, wherein the positions of the four target center points are four corners of the corrected image;
obtaining a second optimal single mapping transformation matrix according to the four picture center points and the four target center points;
and carrying out perspective transformation on the image according to the second optimal single mapping transformation matrix to finally obtain a corrected image.
8. The method according to claim 5, wherein the image to be corrected is a top view oblique shot image, and the corrected image is a top view forward shot image.
9. An oblique shooting image correction apparatus, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the tilt capture image correction method according to any one of claims 5 to 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon an implementation program of information transfer, which when executed by a processor implements the steps of the tilt-shot image correction method according to any one of claims 5 to 8.
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2020
- 2020-03-05 CN CN202010145575.8A patent/CN111325669A/en active Pending
Patent Citations (6)
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| CN101065969A (en) * | 2004-11-24 | 2007-10-31 | 爱信精机株式会社 | Camera calibrating method and camera calibrating device |
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| CN203259087U (en) * | 2013-05-13 | 2013-10-30 | 刘兰平 | Perspective correction scale for trace material evidence photographing |
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