CN109146844A - The image mosaic detection method and readable storage medium storing program for executing of more camera lens multisensor photographic devices - Google Patents
The image mosaic detection method and readable storage medium storing program for executing of more camera lens multisensor photographic devices Download PDFInfo
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- CN109146844A CN109146844A CN201810759475.7A CN201810759475A CN109146844A CN 109146844 A CN109146844 A CN 109146844A CN 201810759475 A CN201810759475 A CN 201810759475A CN 109146844 A CN109146844 A CN 109146844A
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- image mosaic
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- 238000001514 detection method Methods 0.000 title claims abstract description 26
- 238000004590 computer program Methods 0.000 claims description 5
- 230000002950 deficient Effects 0.000 abstract description 4
- 238000011009 performance qualification Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 230000002194 synthesizing effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
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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
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4038—Image mosaicing, e.g. composing plane images from plane sub-images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
The invention discloses the image mosaic detection methods and readable storage medium storing program for executing of a kind of more camera lens multisensor photographic devices.The image mosaic detection method includes: step 1: providing a caliberating device with calibration pattern；Step 2: more camera lens multisensor photographic devices to be measured being subjected to shooting towards the calibration pattern on the caliberating device and obtain uncalibrated image；Step 3: the uncalibrated image relatively per two adjacent sensors determines that the image mosaic performance of more camera lens multisensor photographic devices to be measured is qualified if the picture registration rate between all two adjacent sensors is all larger than or is equal to preset value.The image mosaic detection method can detect the image mosaic performance of more camera lens multisensor photographic devices before factory, to filter out the product of image mosaic performance qualification, remove defective products, the quality of control factory product.
Description
Technical field
The present invention relates to field of photography more particularly to a kind of image mosaic detection sides of more camera lens multisensor photographic devices
Method and readable storage medium storing program for executing.
Background technique
Existing more camera lens multisensor photographic devices as shown in Figure 1, a plurality of lenses 11 ' and sensor 12 ' to not Tongfang
To shooting of finding a view is carried out, the image that then each sensor 12 ' obtains carries out synthesis splicing by Processing Algorithm, forms big visual angle
Or panoramic picture, when synthesizing splicing, picture registration rate between adjacent sensor 12 ' is too small to be seriously affected to the end
Splicing effect.
Summary of the invention
In order to solve above-mentioned the deficiencies in the prior art, the present invention provides a kind of image of more camera lens multisensor photographic devices
Splice detection method and readable storage medium storing program for executing.The image mosaic detection method can image more camera lens multisensors before factory
The image mosaic performance of device is detected, and to filter out the product of image mosaic performance qualification, removes defective products, control factory
The quality of product.
The technical problems to be solved by the invention are achieved by the following technical programs:
A kind of image mosaic detection method of more camera lens multisensor photographic devices, comprising:
Step 1: a caliberating device with calibration pattern is provided；
Step 2: more camera lens multisensor photographic devices to be measured being subjected to shooting towards the calibration pattern on the caliberating device and are obtained
Take uncalibrated image；
Step 3: the uncalibrated image relatively per two adjacent sensors, if the image weight between all two adjacent sensors
Conjunction rate is all larger than or is equal to preset value, then determines that the image mosaic performance of more camera lens multisensor photographic devices to be measured is qualified.
Further, in step 1 further include: a fixed bracket is provided；In step 2 further include: by more camera lenses to be measured
Multisensor photographic device is fixed on the fixed bracket, and more camera lens multisensor photographic devices to be measured is made to be located at shooting
On position.
Further, the caliberating device has an Internal Spherical Surface, and the calibration pattern is arranged in Internal Spherical Surface；In step 2
In, more camera lens multisensor photographic devices to be measured are placed on the centre of sphere of the Internal Spherical Surface.
Further, step 3 includes:
Step 3.1: reading the uncalibrated image that more camera lens multisensor photographic device shootings to be measured obtain；
Step 3.2: the uncalibrated image relatively per two adjacent sensors, if the image between all two adjacent sensors
Coincidence factor is all larger than or is equal to preset value, then determines that the image mosaic performance of more camera lens multisensor photographic devices to be measured is qualified.
Further, step 3.2 includes:
Step 3.2.1: the picture registration region between per two adjacent sensors is obtained；
Step 3.2.2: the picture registration area between per two adjacent sensors is calculated；
Step 3.2.3: accounting of the picture registration area in the original image area of uncalibrated image is calculated, as every adjacent
Picture registration rate between two sensors；
Step 3.2.4: if the picture registration rate between all two adjacent sensors is all larger than or is equal to preset value, determine
The image mosaic performance of more camera lens multisensor photographic devices to be measured is qualified.
Further, it is described calibration pattern include along camera lens and sensor orientation it is vertically disposed different types of
Multiple groups lines group is judged in step 3.2.1 by the type of the lines group in identification uncalibrated image per two adjacent biographies
Picture registration region between sensor.
Further, color, thickness, actual situation line or the wave-like of different group lines groups are different, lead in step 3.2.1
Color, thickness, actual situation line or the wave-like of the lines group crossed in identification uncalibrated image judges the type of lines group.
A kind of readable storage medium storing program for executing stores the computer program executed for processor, and the computer program is by processor
When execution, the step 3 in above-mentioned image mosaic detection method is carried out.
The invention has the following beneficial effects: the image mosaic detection methods can be before factory to more camera lens multisensors
The image mosaic performance of photographic device is detected, and to filter out the product of image mosaic performance qualification, removes defective products, control
The quality of factory product.
Detailed description of the invention
Fig. 1 is the schematic diagram of existing more camera lens multisensor photographic devices；
Fig. 2 is the schematic diagram of image mosaic detection system provided by the invention；
Fig. 3 is the schematic diagram for the uncalibrated image that more camera lens multisensor photographic devices take；
The block diagram step by step of step 3 in Fig. 4 image mosaic detection method provided by the invention.
Specific embodiment
The present invention will be described in detail with reference to the accompanying drawings and examples.
Embodiment one
A kind of image mosaic detection method of more camera lens multisensor photographic devices, comprising:
Step 1: as shown in Fig. 2, what is provided has a caliberating device 2 of calibration pattern；
In the step 1 further include: provide a fixed bracket 3, the fixed bracket 3 passes more for installing fixed more camera lenses to be measured
Sensor photographic device 1.
Step 2: more camera lens multisensor photographic devices 1 to be measured are carried out towards the calibration pattern on the caliberating device 2
Shooting obtains uncalibrated image；
In the step 2 further include: more camera lens multisensor photographic devices 1 to be measured are fixed on the fixed bracket 3,
It is located at more camera lens multisensor photographic devices 1 to be measured on camera site.
Preferably, the caliberating device 2 has an Internal Spherical Surface 21, and the calibration pattern is arranged in Internal Spherical Surface 21；In step
In rapid 2, more camera lens multisensor photographic devices 1 to be measured are placed on the centre of sphere of the Internal Spherical Surface 21.
The caliberating device 2 makes calibration pattern using an Internal Spherical Surface 21, will be to be measured when carrying out image mosaic detection
More camera lens multisensor photographic devices 1 are placed on the centre of sphere of the Internal Spherical Surface 21, the calibration pattern energy in the Internal Spherical Surface 21
Enough cover the camera lens and sensor of different view directions, and the calibration pattern is to the camera lens and sensor of different view directions
Distance it is consistent, can reduce the error of testing result.
Step 3: the uncalibrated image relatively per two adjacent sensors, if the figure between all two adjacent sensors
As coincidence factor is all larger than or equal to preset value, then determines that the image mosaic performance of more camera lens multisensor photographic devices 1 to be measured is closed
Lattice.
As shown in figure 4, the step 3 includes:
Step 3.1: reading the uncalibrated image that more shootings of camera lens multisensor photographic device 1 to be measured obtain；
In the step 3.1, each sensor shooting obtains an at least uncalibrated image.
Step 3.2: the uncalibrated image relatively per two adjacent sensors, if between all two adjacent sensors
Picture registration rate is all larger than or is equal to preset value, then determines the image mosaic performance of more camera lens multisensor photographic devices 1 to be measured
It is qualified.
Wherein, which specifically includes:
Step 3.2.1: the picture registration region between per two adjacent sensors is obtained；
The calibration pattern includes the vertically disposed different types of multiple groups lines group of orientation along camera lens and sensor, if
All camera lenses and sensor are arranged along first direction, then all lines groups are vertically arranged along first direction, if partial lens
And sensor is arranged along first direction, partial lens and sensor arrange in a second direction, then lines group in part is along first direction
It is vertically arranged, part lines group is vertically arranged in a second direction, and longitude and latitude grid is staggered to form between lines group.In the step
3.2.1 the picture registration between per two adjacent sensors is judged in by the type of the lines group in identification uncalibrated image
Region.
Using lines group as the calibration pattern, can directly from the uncalibrated image of shooting lines group gradient
To determine whether more camera lens multisensor photographic devices 1 to be measured are put just on camera site.
The differences such as color, thickness, actual situation line or wave-likes of difference group lines groups, wherein every group of lines group include
At least one lines.Pass through color, thickness, actual situation line or the wave of the lines group in identification uncalibrated image in step 3.2.1
Shape wave shape etc. judges the type of lines group.
By taking three sensor photographic device of three-lens as an example, three of them camera lens and sensor successively along arranged in a straight line, then
When detection, as shown in figure 3, first sensor shooting obtains the first uncalibrated image A, second sensor shooting obtains the second calibration maps
As B, 3rd sensor shooting obtains third uncalibrated image C.
For lines group in different colors, as shown in figure 3, having in red lines group on the right side of the first uncalibrated image A
Three red lines have three in red lines group red lines, right sides to have green lines group on the left of the second uncalibrated image B
In three green lines, have three in green lines group green lines on the left of third uncalibrated image C, then according to red
In lines group and green lines group preset lines quantity come first determine between the first uncalibrated image A and the second uncalibrated image B, the
Picture registration region between two uncalibrated image B and the second uncalibrated image B, for example, the red preset lines quantity of lines group if
Three, then the picture registration region between the first uncalibrated image A and the second uncalibrated image B just covers the model of three red lines
It encloses, the green preset lines quantity of lines group is if six, then the figure between the second uncalibrated image B and third uncalibrated image C
As overlapping region even the range of a green line does not all have, or it can consider the second uncalibrated image B and third uncalibrated image C
Between there is no picture registration region.
Step 3.2.2: the picture registration area between per two adjacent sensors is calculated；
In step 3.2.2, the spacing between adjacent lines is it is known that can be by numerical digit in the lines in picture registration region
Quantity calculates picture registration area, it is of course also possible to which numerical digit calculates figure in pixel quantity in picture registration region
As overlapping area.
Step 3.2.3: accounting of the picture registration area in the original image area of uncalibrated image is calculated, as every phase
Picture registration rate between two adjacent sensors；
Step 3.2.4: if the picture registration rate between all two adjacent sensors is all larger than or is equal to preset value, determine
The image mosaic performance of more camera lens multisensor photographic devices 1 to be measured is qualified.
In step 3.2.4, the preset value for determining that image mosaic performance is closed can be taken the photograph according to more camera lens multisensors to be measured
As device 1 different type or shooting purpose and be set as different numerical value, this is not restricted.
The image mosaic detection method can be before factory to the image mosaic performance of more camera lens multisensor photographic devices
It is detected, to filter out the product of image mosaic performance qualification, removes defective products, the quality of control factory product.
Embodiment two
A kind of readable storage medium storing program for executing, stores the computer program executed for processor, which is executed by processor
When, carry out the step 3 in image mosaic detection method described in embodiment one.
Embodiments of the present invention above described embodiment only expresses, the description thereof is more specific and detailed, but can not
Therefore limitations on the scope of the patent of the present invention are interpreted as, as long as skill obtained in the form of equivalent substitutions or equivalent transformations
Art scheme should all be fallen within the scope and spirit of the invention.
Claims (8)
1. a kind of image mosaic detection method of more camera lens multisensor photographic devices characterized by comprising
Step 1: a caliberating device with calibration pattern is provided；
Step 2: more camera lens multisensor photographic devices to be measured being subjected to shooting towards the calibration pattern on the caliberating device and are obtained
Take uncalibrated image；
Step 3: the uncalibrated image relatively per two adjacent sensors, if the image weight between all two adjacent sensors
Conjunction rate is all larger than or is equal to preset value, then determines that the image mosaic performance of more camera lens multisensor photographic devices to be measured is qualified.
2. the image mosaic detection method of more camera lens multisensor photographic devices according to claim 1, which is characterized in that
In step 1 further include: a fixed bracket is provided；In step 2 further include: pacify more camera lens multisensor photographic devices to be measured
Dress is fixed on the fixed bracket, is located at more camera lens multisensor photographic devices to be measured on camera site.
3. the image mosaic detection method of more camera lens multisensor photographic devices according to claim 1 or 2, feature exist
In the caliberating device has an Internal Spherical Surface, and the calibration pattern is arranged in Internal Spherical Surface；In step 2, by more camera lenses to be measured
Multisensor photographic device is placed on the centre of sphere of the Internal Spherical Surface.
4. the image mosaic detection method of more camera lens multisensor photographic devices according to claim 1, which is characterized in that
Step 3 includes:
Step 3.1: reading the uncalibrated image that more camera lens multisensor photographic device shootings to be measured obtain；
Step 3.2: the uncalibrated image relatively per two adjacent sensors, if the image between all two adjacent sensors
Coincidence factor is all larger than or is equal to preset value, then determines that the image mosaic performance of more camera lens multisensor photographic devices to be measured is qualified.
5. the image mosaic detection method of more camera lens multisensor photographic devices according to claim 4, which is characterized in that
Step 3.2 includes:
Step 3.2.1: the picture registration region between per two adjacent sensors is obtained；
Step 3.2.2: the picture registration area between per two adjacent sensors is calculated；
Step 3.2.3: accounting of the picture registration area in the original image area of uncalibrated image is calculated, as every adjacent
Picture registration rate between two sensors；
Step 3.2.4: if the picture registration rate between all two adjacent sensors is all larger than or is equal to preset value, determine
The image mosaic performance of more camera lens multisensor photographic devices to be measured is qualified.
6. the image mosaic detection method of more camera lens multisensor photographic devices according to claim 5, which is characterized in that
The calibration pattern includes the vertically disposed different types of multiple groups lines group of orientation along camera lens and sensor, in step
3.2.1 the picture registration between per two adjacent sensors is judged in by the type of the lines group in identification uncalibrated image
Region.
7. the image mosaic detection method of more camera lens multisensor photographic devices according to claim 6, which is characterized in that
Color, thickness, actual situation line or the wave-like of difference group lines group are different, by identification uncalibrated image in step 3.2.1
Color, thickness, actual situation line or the wave-like of lines group judge the type of lines group.
8. a kind of readable storage medium storing program for executing stores the computer program executed for processor, which is characterized in that the computer program
When being executed by processor, the step 3 in claim 6-7 in any image mosaic detection method is carried out.
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Cited By (1)
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| CN112449175A (en) * | 2019-08-29 | 2021-03-05 | 浙江宇视科技有限公司 | Image splicing test method, device, equipment and storage medium |
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