CN112492296A - Imaging quality evaluation system and imaging quality evaluation method - Google Patents
Imaging quality evaluation system and imaging quality evaluation method Download PDFInfo
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Abstract
The invention relates to the field of computer image processing, aims to solve the problems that the existing imaging quality evaluation is greatly influenced by the subjectivity of a person participating in evaluation and the accuracy of an evaluation result is low, and provides an imaging quality evaluation system and an imaging quality evaluation method. A light and shade two-part live-action picture, a gray-scale picture and a three-line target are arranged on a static test card of the system; a Siemens star pattern comprising 36 sectors is arranged on the dynamic test card; the speed regulating motor is used for driving the dynamic test card to rotate. The method comprises the following steps: observing the static test card by using a camera unit, and recording observation data; keeping the dynamic test card still, observing the dynamic test card by using a camera unit, and recording the observed minimum concentric circle radius R0 of the black part of the distinguishable Siemens star-shaped stripe; enabling the speed regulating motor to rotate at a certain speed, and recording the observed minimum concentric circle radius R of the black part of the distinguishable Siemens star-shaped stripe; and evaluating the dynamic imaging quality according to the value of R/R0.
Description
Technical Field
The invention relates to the field of computer image processing, in particular to a dynamic imaging quality evaluation technology of camera equipment.
Background
For an observation combination (imaging unit + observation information processing unit) imaging unit, objects to be observed are divided into dynamic objects and static objects. The static target is static, compared with the static target, the dynamic target has more uncertainty, the requirements on the software and hardware performance of the observation combined camera unit are higher, and the uncontrollable abnormal conditions of the non-static state are caused, for example, the number of the changed pixels of the static scene is less, the occupied transmission bandwidth is small, once a motion scene appears, each frame image has more changes, the required bandwidth is increased sharply, and if the design is insufficient, the abnormal phenomena of image blocking, mosaic, delay and the like can occur. Therefore, in order to satisfy the imaging effect of the designed observation combination, the imaging quality of the observation combination needs to be evaluated. However, the imaging quality is generally evaluated in a subjective judgment mode, which is greatly influenced by the subjectivity of the evaluation personnel, and the accuracy of the evaluation result is not high due to the lack of quantitative evaluation criteria.
Therefore, in view of the above disadvantages, it is desirable to provide a novel imaging quality evaluation system and evaluation method combining static and dynamic states.
Disclosure of Invention
The invention aims to solve the technical problems that the existing imaging quality evaluation is greatly influenced by subjectivity of evaluation personnel, and the accuracy of an evaluation result is not high due to the lack of quantitative evaluation standards, and provides an imaging quality evaluation system and an imaging quality evaluation method aiming at the defects in the prior art.
In order to solve the above technical problem, the present invention provides an imaging quality evaluation system, including: the system comprises a static test card, a dynamic test card, a light supplement lamp and a speed regulating motor;
the static test card is provided with a light and shade two-part live-action picture, a gray-scale picture and a three-line target;
the dynamic test card is provided with a Siemens star pattern comprising a plurality of sectors;
the light supplement lamp is used for supplementing light to the static test card/dynamic test card during observation;
the speed regulating motor is used for driving the dynamic test card to rotate.
Optionally, the system further comprises: the base and the support are used for supporting a transmission shaft of the speed regulating motor.
Optionally, the number of the light supplement lamps is eight, and the light supplement lamps are respectively located at four corners of the static test card and the dynamic test card.
Optionally, the grayscale map is a 13-level grayscale map.
Optionally, the minimum line width of the three-line target is an integral multiple of the stripe interval of the minimum resolution of the image pickup unit.
Optionally, a siemens star pattern including 36 sectors is disposed on the dynamic test card.
The invention also provides a method for evaluating the imaging quality by adopting the system, which comprises the following steps:
static imaging quality evaluation:
observing the static test card by using a camera unit, and recording observation data;
and (3) dynamic imaging quality evaluation:
keeping the dynamic test card in a static state, observing the dynamic test card by using a camera unit, and recording the observed minimum concentric circle radius R0 of the black part of the distinguishable Siemens star-shaped stripe;
controlling a speed regulating motor to rotate at a certain speed, observing the dynamic test card by using a camera unit, and recording the observed minimum concentric circle radius R of the black part of the distinguishable Siemens star-shaped stripe;
and evaluating the dynamic imaging quality according to the value of R/R0.
Optionally, the method further comprises:
controlling a speed regulating motor, changing the rotating speed of the speed regulating motor, observing the dynamic test card by using a camera unit, and recording the observed minimum concentric circle radius R of the black part of the distinguishable Siemens star-shaped stripe;
and evaluating the dynamic imaging quality according to the value of R/R0.
The imaging quality evaluation system and the imaging quality evaluation method have the following beneficial effects:
static and dynamic imaging quality evaluation is combined, so that the overall software and hardware performance of the observation combination can be better tested, the development level of the observation combination is improved, and the actual combat capability of the observation combination is improved.
Drawings
FIG. 1 is a schematic structural diagram of a static test card according to a first embodiment of the present invention, in which a represents a bright-dark live view, b represents a gray-scale view, and c represents a three-line target;
FIG. 2 is a grayscale diagram of FIG. 1;
the three-wire target of FIG. 1 in FIG. 3;
FIG. 4 is a layout diagram of a static test environment according to a first embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a dynamic test card according to a first embodiment of the present invention;
FIG. 6 is a front view of a system for dynamic testing in accordance with a first embodiment of the present invention;
FIG. 7 is a side view of FIG. 6;
FIG. 8 is a diagram of the environment layout of dynamic testing according to the first embodiment of the present invention;
FIG. 9 is a sector of a Siemens star according to a first embodiment of the present invention;
fig. 10 is a sample image observed by the camera unit during a dynamic test, where (a) is a static situation, (b) is an ideal dynamic test situation, and (c) is an actual dynamic test situation.
Wherein, 1 represents unit test equipment, 2 represents a fixing plate, 3 represents an LED lamp, 4 represents a base and a bracket, 5 represents a dynamic test card, 6 represents a speed regulating motor, 7 represents a transmission shaft, 8 represents a controller, 9 represents a camera unit, and 10 represents an observation information processing unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Example one
The imaging quality evaluation system provided by the embodiment of the invention comprises a static test card, a dynamic test card, 8 light supplementing lamps, a speed regulating motor, a base and a bracket;
as shown in fig. 1, 2 and 3, the static test card is provided with a light and dark two-part live-action image, a 13-order gray-scale image and a three-line target;
as shown in fig. 5, a siemens star pattern including 36 sectors is disposed on the dynamic test card;
as shown in fig. 6, the light supplement lamps are used for supplementing light to the static test card/dynamic test card during observation, and 8 light supplement lamps are respectively located at four corners of the static test card and the dynamic test card;
the speed regulating motor is used for driving the dynamic test card to rotate;
the bottom of the bracket is fixed on the base, and the static test card/dynamic test card is fixed at the top of the bracket and used for supporting the transmission shaft of the speed regulating motor.
As shown in fig. 4, during the static test, the camera unit is aligned to the front surface of the static test card, and the distance from the camera unit to the test card is 3m (which can be adjusted appropriately according to the actual situation), and the observation information processing unit and the unit test equipment are connected to complete the environmental arrangement. The unit test device 1 can display images including real-time display of images, automatic saving of video or images to the local, playback of video, and display of camera unit parameters including exposure, gain, temperature, field size, etc.
After the equipment is arranged as shown in fig. 4, the camera unit is powered on, the camera unit starts to observe the static test card, a light and dark live-action picture, a 13-order gray-scale picture and a three-line target with the minimum line width of 3.45mm integral multiple are observed, and observation data are recorded. The type of the three-line target can be clearly distinguished through the image displayed by the camera shooting unit, such as a column of images with marks on the leftmost side in fig. 2, the line width of the three-line target of the type can be directly judged according to the type, and the static imaging quality of the camera shooting unit is evaluated according to observation data. The distance between the camera unit and the test card can be changed to carry out comparison experiments.
As shown in fig. 6 and 7, during dynamic testing, the dynamic test card 5 can be installed on the fixing plate, the LED fill light 3 is installed at each of four corners of the fixing plate 2, the adjustable speed motor 6 drives the dynamic test card 5 to rotate through the transmission shaft 7 of the adjustable speed motor under the control of the controller 8, the transmission shaft can be supported through the base and the support 4, wherein the dynamic test card can be selected as the YE0220 test card and is composed of a siemens star with 36 sectors.
As shown in fig. 8, the camera unit is aligned to the center of the front of the dynamic test card, the distance from the camera unit 9 to the test card is 3m (which can be adjusted as appropriate according to the actual situation), and the observation information processing unit 10 and the unit test equipment are connected to complete the environmental arrangement.
After the equipment is arranged as shown in fig. 8, the camera unit is powered on, the dynamic test card is kept in a static state, the camera unit is used for observing the test card, the value of R0 in fig. 9 is recorded by software in the unit test equipment, and the theoretical value of R0 is not more than 40 mm. Then the speed regulating motor and the controller are electrified to enable the speed regulating motor to rotate at a certain speed (unit r/s), the test card is observed by the camera unit again, and observation data are recorded.
The size of a single pixel of the camera unit detector is 6.5 μm for example, and the focal length is 11.3mm for example, then the calculation formula for the size of an object whose size of an image is a single pixel at a specified distance is as follows:
wherein λ is the size of a single pixel, f is the focal length of the detector, S is the distance between the object and the optical center of the detector (i.e. the center of the optical lens of the camera unit), and L is the size of the object to be calculated.
And calculating by using the minimum stripe distance which can be distinguished by the dynamic test card and corresponding to 2 pixels, wherein the stripe interval which can be distinguished by the minimum of the camera shooting unit is 3.45mm at a distance of 3m according to the calculation.
The 36 sectors in the siemens star are uniformly distributed, and each sector corresponds to an arc value of 5 °, as shown in fig. 9. The arc length L is n × pi × R/180, where n is the central angle degree, R is the radius, and L is the central angle arc length. When L is 3.45mm, R is calculated to be about 40 mm.
When the test card is rotated at a constant speed, and observed by the camera unit at a distance of 3m, the sampled image of the camera unit may be as shown in fig. 10: in the static state (rotational speed 0), R is R0, in the ideal dynamic state R1, and in the actual dynamic state R2.
As shown in fig. 10, R0, R1, and R2 are minimum concentric circle radii of the black part of the star-shaped fringe of siemens that can be distinguished, and the numerical value can be used as a criterion for determining the dynamic performance of the image. The closer R/R0 is to 1, the better the dynamic performance of the imaging unit.
Example two
The embodiment provides a method for evaluating imaging quality by using the imaging quality evaluation system described in the first embodiment, and the method includes two parts, namely static imaging quality evaluation and dynamic imaging quality evaluation.
Static imaging quality evaluation:
observing the static test card by using a camera unit, and recording observation data;
and (3) dynamic imaging quality evaluation:
keeping the dynamic test card in a static state, observing the dynamic test card by using a camera unit, and recording the observed minimum concentric circle radius R0 of the black part of the distinguishable Siemens star-shaped stripe;
the speed regulating motor is controlled to rotate according to the speed of 1R/s and the speed of 2R/s respectively, the imaging definition degree of the dynamic test card by the camera unit is observed under the two rotating speeds respectively, the observed minimum concentric circle radius R of the black part of the star-shaped stripes of the Siemens can be distinguished is recorded, and according to the observation result, the imaging definition degree is better when the dynamic test card is in a static state, and the imaging effect is better under the condition that the rotating speed is slower when the dynamic test card is in a rotating motion state.
And evaluating the dynamic imaging quality according to the value of R/R0.
And comprehensively judging the imaging quality according to the static imaging quality evaluation result and the dynamic imaging quality evaluation.
In summary, the imaging quality evaluation system and the method for evaluating imaging quality by using the system of the embodiment of the invention have the following effects:
(1) the method combines the static and rotary dynamic imaging quality evaluation, thereby improving the accuracy and efficiency of the imaging quality evaluation;
(2) the quality of the observed image is compared by adopting design quantitative indexes (such as a bright and dark live-action image, a gray-scale image, a three-line target, R/R0 and the like), and a more accurate test conclusion can be obtained;
(3) high cost performance can be achieved.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. An imaging quality evaluation system characterized by comprising: the system comprises a static test card, a dynamic test card, a light supplement lamp and a speed regulating motor;
the static test card is provided with a light and shade two-part live-action picture, a gray-scale picture and a three-line target;
the dynamic test card is provided with a Siemens star pattern comprising a plurality of sectors;
the light supplement lamp is used for supplementing light to the static test card/dynamic test card during observation;
the speed regulating motor is used for driving the dynamic test card to rotate.
2. The system of claim 1, further comprising: the base and the support are used for supporting a transmission shaft of the speed regulating motor.
3. The system of claim 1, wherein the number of the fill-in lamps is eight, and the fill-in lamps are respectively located at four corners of the static test card and the dynamic test card.
4. The system of any of claims 1 to 3, wherein the grayscale map is a 13-level grayscale map.
5. The system according to any one of claims 1 to 3, wherein the minimum line width of the three-line target is an integer multiple of the fringe spacing for minimum resolution of the camera unit.
6. The system of any one of claims 1 to 3, wherein a Siemens star pattern comprising 36 sectors is disposed on the dynamic test card.
7. A method for imaging quality assessment using the system of claim 1, comprising:
static imaging quality evaluation:
observing the static test card by using a camera unit, and recording observation data;
and (3) dynamic imaging quality evaluation:
keeping the dynamic test card in a static state, observing the dynamic test card by using a camera unit, and recording the observed minimum concentric circle radius R0 of the black part of the distinguishable Siemens star-shaped stripe;
controlling a speed regulating motor to rotate at a certain speed, observing the dynamic test card by using a camera unit, and recording the observed minimum concentric circle radius R of the black part of the distinguishable Siemens star-shaped stripe;
and evaluating the dynamic imaging quality according to the value of R/R0.
8. The method of claim 7, further comprising:
controlling a speed regulating motor, changing the rotating speed of the speed regulating motor, observing the dynamic test card by using a camera unit, and recording the observed minimum concentric circle radius R of the black part of the distinguishable Siemens star-shaped stripe;
and evaluating the dynamic imaging quality according to the value of R/R0.
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Cited By (1)
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| CN116071354A (en) * | 2023-03-06 | 2023-05-05 | 深圳思谋信息科技有限公司 | Image processing method, device, computer equipment and computer readable storage medium |
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