CN112067254B - Ghost image measuring method and system for optical system - Google Patents
Ghost image measuring method and system for optical system Download PDFInfo
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Abstract
The invention provides a ghost image measuring method and a ghost image measuring system of an optical system, which evaluate the ghost image performance of a lens in a quantitative mode, and the method comprises the following steps: dividing the brightness related parameters of the sensor into N brightness levels according to the ascending or descending sequence of the image brightness, wherein each brightness level corresponds to one parameter set, and the brightness between the adjacent brightness levels is M times of the relationship; acquiring imaging pictures through a sensor and circularly executing the imaging pictures for N times, acquiring pictures of one brightness level each time, and numbering the pictures of each brightness level acquired by the sensor as Pn, wherein N is 1,2,. N; and quantizing the brightness of each pixel of the picture Pn, calculating the quantized light source brightness and the ghost brightness to obtain a lens ghost value of the lens, and generating a plurality of ghost report pictures. The system comprises: the device comprises an image acquisition module, an image brightness quantization module, a ghost image energy calculation module, a ghost image shape calculation module and a ghost image shape energy display module.
Description
Technical Field
The invention relates to a ghost image measuring method and a ghost image measuring system of an optical system.
Background
The stray light refers to light energy of non-target imaging which can reach a target surface of a detector of the optoelectronic system, and the existence of the stray light can increase output noise of the optical system, so that the image plane contrast is reduced, and in serious cases, target signals output by the system are completely annihilated in the noise, so that the effective acting distance and the resolution capability of the optical system are influenced, and therefore, the suppression level of the optical system on the stray light needs to be improved, and the signal-to-noise ratio and the performance of the whole system are improved.
One of the important manifestations of stray light is ghost image, which refers to an image formed by the convergence of part of the imaging light in the optical path of the optical system due to the residual reflection on the surface of the optical element. The ghost image testing is necessary for the development of the optical system, and particularly for large-aperture, multispectral and zooming photoelectric testing equipment, the ghost image testing, analyzing and positioning work of the equipment directly relates to the imaging quality of the optical system, so that the establishment of a measuring device for efficiently measuring the ghost image of the optical system is necessary.
Disclosure of Invention
Based on the problems mentioned in the background art, the invention provides a method and a system for measuring a ghost image of an optical system, which evaluate the ghost image performance of a lens in a quantitative mode, and the specific technical content is as follows:
the ghost image measuring method of the optical system comprises the following steps:
setting a sensor, and dividing the brightness parameter of the sensor into N continuous brightness levels;
acquiring images under various brightness levels through a sensor and quantizing the brightness of each pixel of the images;
and calculating according to the light source brightness value and the ghost brightness value obtained by quantification to obtain a ghost value quantification value of the optical system, and generating a plurality of ghost report graphs for displaying the measurement result.
In one or more embodiments of the present invention, the method specifically includes the following steps:
step1, arranging a sensor; dividing the brightness related parameters of the sensor into N brightness levels according to the ascending or descending sequence of the image brightness, wherein each brightness level corresponds to one parameter set, and the brightness between the adjacent brightness levels is M times of the relationship;
acquiring imaging pictures through a sensor and executing the imaging pictures circularly for N times, acquiring pictures of one brightness level each time, and numbering the pictures of each brightness level acquired by the sensor as Pn, wherein N is 1,2,. N;
step3, scanning the picture Pn of each brightness level, extracting an overexposure area A1n in the picture Pn, subtracting | A1(n +1) -A1 n | from the overexposure areas of adjacent brightness levels, and obtaining a difference value which is a brightness area A2n of each brightness level;
step4, calculating the maximum brightness MAXn and the minimum brightness MINn of the picture in the brightness area A2 n;
step5, quantizing the brightness of each pixel point in each brightness level area A2n, wherein the quantization formula comprises:
L(i,j)＝K*Pow(M,n)+(1-K)*Pow(M,n+1)； (1)
K＝(LightVal(i,j)-MINn)/(MAXn-MINn)； (2)
wherein, Pow (M, n) is an index with M as the base n, K is a luminance equal-proportion coefficient, LightVal (i, j) is a picture luminance value of a pixel point, and a luminance quantization value L (i, j) of the corresponding pixel point is obtained by combining formulas (1) and (2); then, all the A2n areas are combined to form a complete picture, and the brightness quantization value L (i, j) of each pixel point on the picture can be obtained;
step6, scanning the picture Pn of each brightness level to find an effective light source, wherein the effective light source is an area containing a plurality of pixel points with brightness values larger than or equal to the brightness upper limit; when a plurality of pictures have effective light sources, selecting the picture with the minimum brightness level;
step7, calculating the brightness quantization value of the light source pixel;
S(i,j)＝＝K*Pow(M,n)+(1-K)*Pow(M,n+1)； (3)
combining the formulas (2) and (3) to obtain a brightness quantization value S (i, j) of the corresponding light source pixel;
step8, calculating the brightness quantization value of the ghost image pixel;
G(i,j)＝L’(i,j)–B(i,j)； (4)
l' (i, j) is the picture brightness quantization value of the position of the ghost pixel, and B (i, j) is the minimum brightness quantization value near the ghost pixel;
step 9, calculating the ratio of the ghost image energy of the light source;
light source ghost image energy ratio G (i, j)/S (i, j)
＝(L’(i,j)–B(i,j))/S(i,j)； (5)
Step 10, generating a plurality of ghost image report graphs, wherein the ghost image report graphs comprise ghost image shape graphs or/and ghost image energy graphs;
selecting several pictures with obvious ghost phenomenon from the picture Pn to combine into one ghost shape picture;
and the ghost image energy map is associated with a plurality of color gradients according to the quantized values obtained in the step so as to display the change of the ghost image energy intensity.
In one or more embodiments of the present invention, when generating the ghost shape map, a plurality of frames with obvious ghost are selected for synthesis by observing the frames according to the collected frames and the corresponding numbers thereof.
In one or more embodiments of the invention, when generating the ghost shape map, the first X frames that are not completely over-exposed in the frames are identified and selected for composition.
In one or more embodiments of the present invention, an energy upper limit value and an energy lower limit value are set, and a plurality of color gradients are associated with each quantized value obtained by calculation in an interval between the energy upper limit value and the energy lower limit value to realize the display of the ghost image energy intensity change.
In one or more embodiments of the present invention, the ghost report map further includes a brightest-lighted ghost value map; providing the complete picture generated in the step5, and framing and selecting a strong brightness area in the picture through manual observation; identifying and calculating a ghost brightness quantization value in the area, obtaining a brightest point ghost value through comparing the ghost brightness quantization values, and marking and displaying the brightest point ghost value in the brightest point ghost value image.
In one or more embodiments of the present invention, a plurality of measurement angles are set, and the steps 2-10 are respectively performed at each measurement angle to correspondingly generate a plurality of ghost report maps at the measurement angle.
The optical system ghost image measuring system of the present invention includes:
the image acquisition module is used for acquiring images according to preset parameters and numbering imaging pictures;
the image brightness quantization module is used for performing brightness quantization calculation on the pictures at all brightness levels;
the ghost image energy calculation module is used for carrying out ghost image quantitative calculation on the picture under each brightness level;
a ghost shape calculation module for generating a ghost shape graph according to the quantization calculation result;
and the ghost shape energy display module is used for generating a ghost energy image according to the quantization calculation result.
In one or more embodiments of the present invention, the image capturing module includes a brightness parameter level dividing unit for dividing the brightness of the image into N brightness levels in an increasing or decreasing order, a parameter configuring unit for configuring and storing a parameter set of each brightness level, and an image capturing unit for image sensing imaging;
the image brightness quantization module comprises an area calculation unit for quantizing the brightness of pixel points, and an area merging unit for extracting an overexposed area in a picture, processing and merging the overexposed area and the overexposed area to form a complete picture;
the ghost energy calculating module comprises a light source brightness calculating unit for acquiring a picture light source and calculating the brightness of the picture light source, a ghost picture brightness calculating unit for acquiring and calculating the brightness value of each ghost pixel in a ghost picture, and a ghost energy ratio calculating unit for calculating the ratio of light source energy to ghost energy.
In one or more embodiments of the present invention, the optical system ghost image measuring system has an interactive interface for a user to operate, and the interactive interface is provided with:
the measuring button is used for triggering the image acquisition module and the image brightness quantization module to execute operation;
a calculate energy button for triggering the ghost energy calculating module to execute the operation;
a report output button for deriving a ghost report map;
an input box for setting an energy upper limit value and an energy lower limit value;
a frame selection button for triggering pop-up pictures and triggering ghost shape energy display modules to execute operation;
the ghost shape energy display module is also used for identifying the manually framed picture area, calculating and obtaining the brightest point ghost value in the area, and generating a ghost brightest point display image for displaying the brightest point ghost value.
In one or more embodiments of the present invention, the interactive interface is provided with a plurality of measurement angle options for a user to select a currently measured light source angle; and after the corresponding measurement angle option is selected, clicking a measurement button to start measurement operation.
The invention has the beneficial effects that: the method is mainly used for evaluating the ghost performance of the measuring lens in ghost measuring equipment, and comprises the ghost shape, ghost energy distribution and ghost values of all points, the brightness parameters of the sensor are divided into N continuous brightness levels, images under different levels are collected and quantified, the quantified light source brightness and the ghost brightness are calculated to obtain the lens ghost value of the lens, and the ghost performance of the lens is evaluated in a quantitative mode.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
FIG. 2 is a flow chart of the method of the present invention (continuation of FIG. 1)
FIG. 3 is a system framework diagram of the present invention.
FIG. 4 is a schematic view of an interactive interface according to the present invention.
FIG. 5 is a ghost shape diagram of the present invention.
FIG. 6 is a ghost energy diagram of the present invention.
FIG. 7 is a diagram of the brightest point ghost value according to the present invention.
Detailed Description
The scheme of the present application is further described below with reference to the accompanying drawings, 1 to 7:
referring to fig. 1 to 2 and 5 to 7, a ghost image measuring method of an optical system includes the steps of:
step1, setting a Sensor, namely drawing a Sensor; dividing the brightness related parameters of the sensor into N brightness levels according to the ascending or descending sequence of the image brightness, wherein each brightness level corresponds to one parameter set, and the brightness between the adjacent brightness levels is M times of the relationship;
acquiring imaging pictures through a sensor and executing the imaging pictures circularly for N times, acquiring pictures of one brightness level each time, and numbering the pictures of each brightness level acquired by the sensor as Pn, wherein N is 1,2,. N;
step3, scanning the picture Pn of each brightness level, extracting an overexposure area A1n in the picture Pn, subtracting | A1(n +1) -A1 n | from the overexposure areas of adjacent brightness levels, and obtaining a difference value which is a brightness area A2n of each brightness level;
step4, calculating the maximum brightness MAXn and the minimum brightness MINn of the picture in the brightness area A2 n;
step5, quantizing the brightness of each pixel point in each brightness level area A2n, wherein the quantization formula comprises:
L(i,j)＝K*Pow(M,n)+(1-K)*Pow(M,n+1)； (1)
K＝(LightVal(i,j)-MINn)/(MAXn-MINn)； (2)
wherein, Pow (M, n) is an index with M as the base n, K is a luminance equal-proportion coefficient, LightVal (i, j) is a picture luminance value of a pixel point, and a luminance quantization value L (i, j) of the corresponding pixel point is obtained by combining formulas (1) and (2); then, all the A2n areas are combined to form a complete picture, and the brightness quantization value L (i, j) of each pixel point on the picture can be obtained;
assuming a brightness level of 1, the processed picture is P1;
searching for the luminance value MIN1 of the darkest pixel and the luminance value MAX1 of the brightest pixel in the area A21 in the picture P1; the final calculation is:
L(i,j)＝K*Pow(M,1)+(1-K)*Pow(M,2)
K＝(LightVal(i,j)–MIN1)/(MAX1–MIN1)；
picture P19 is processed assuming brightness level 19);
searching the brightness value MIN19 of the darkest pixel and the brightness value MAX19 of the brightest pixel in the area A219 in the picture P19; the final calculation is:
L(i,j)＝K*Pow(M,19)+(1-K)*Pow(M,20)
K＝(LightVal(i,j)–MIN19)/(MAX19 MIN19)；
(i, j) is a pixel coordinate index, assuming that the resolution of the image sensor is Width XHeight, the upper left corner is an original point, the Width is in the direction of i, the height is in the direction of j, i is gradually increased towards the right, and j is gradually increased downwards;
step6, scanning the picture Pn of each brightness level to find an effective light source, wherein the effective light source is an area containing a plurality of pixel points with brightness values larger than or equal to the brightness upper limit; when a plurality of pictures have effective light sources, selecting the picture with the minimum brightness level;
among these, the explanation for the upper luminance limit is:
the brightness level is divided into N levels, so that N has a value in the range of (1, 2, 3, N);
each brightness level will capture a picture, and for each picture, the brightness value is not infinite, but rather has a range, for example:
for an 8-bit picture, the upper limit of the brightness is 255 (8 th power-1 of 2), and the lower limit is 0;
for a 10bit picture, the upper limit of the luminance is 1023 (10 th power-1 of 2), and the lower limit is 0;
in this example, 12 bits, 14 bits and 16 bits are pushed; and acquiring the brightness upper limit according to the number of the actually shot pictures.
Step7, calculating the brightness quantization value of the light source pixel;
S(i,j)＝＝K*Pow(M,n)+(1-K)*Pow(M,n+1)； (3)
combining the formulas (2) and (3) to obtain a brightness quantization value S (i, j) of the corresponding light source pixel;
step8, calculating the brightness quantization value of the ghost image pixel;
G(i,j)＝L’(i,j)–B(i,j)； (4)
l' (i, j) is the picture brightness quantization value of the position of the ghost pixel, and B (i, j) is the minimum brightness quantization value near the ghost pixel;
step 9, calculating the ratio of the ghost image energy of the light source;
light source ghost image energy ratio G (i, j)/S (i, j)
＝(L’(i,j)–B(i,j))/S(i,j)； (5)
Step 10, generating a plurality of ghost report graphs, wherein the ghost report graphs comprise a ghost shape graph, a ghost energy graph and a brightest point ghost value graph; the specific generation steps include:
1) ghost image shape diagram
Selecting several pictures with obvious ghost phenomenon from the picture Pn to synthesize the pictures into one picture; selecting a plurality of pictures with obvious ghost images for synthesis by observing the pictures according to the collected pictures and the corresponding numbers thereof; alternatively, the first X frames which are not completely overexposed (full white) in the frames are identified and selected and synthesized, and the X value is set according to practical experience, and may be, for example, the first 3 to 5 frames.
2) Ghost energy map
According to the quantized values obtained in the step, associating a plurality of color gradients to display the ghost image energy intensity change; firstly, setting an upper energy limit value and a lower energy limit value, and combining each quantized value obtained by calculation in an interval of the upper energy limit value and the lower energy limit value, such as [1.0e-002,1.0e-010], wherein a plurality of colors are gradually changed corresponding to the interval according to a linear relation so as to realize the display of the intensity change of ghost image energy, for example, a ghost image energy graph is displayed in a mode of gradually changing red, green, blue and three colors; the red area represents high energy value, the green area is centered, the blue area represents low energy value, the red concentration is gradually reduced, the green area is transited to the green area, and the blue area is transited to the blue area through gradual reduction.
3) Maximum bright point ghost value map
Providing the complete picture generated in the step5, and framing and selecting a strong brightness area in the picture through manual observation; identifying and calculating a ghost brightness quantized value in the region, obtaining a brightest point ghost value by comparing the ghost brightness quantized values, marking and displaying the brightest point ghost value in the brightest point ghost value image, wherein the brightest point ghost value comprises a ghost highlight point coordinate and an energy value, and referring to fig. 6, the ghost highlight point coordinate is (-0.213, 0.013), and the energy value is 1.685299 e-005.
Furthermore, a measurement angle is set before measurement, and the steps 2-10 are respectively executed under each measurement angle, so that a plurality of ghost image report graphs under the measurement angle are correspondingly generated.
Referring to fig. 3 to 4, an optical system ghost image measuring system includes:
the image acquisition module 1 is used for acquiring images according to preset parameters and numbering imaging pictures, and comprises a brightness parameter grade division unit 101 for dividing the brightness of the pictures into N brightness grades in an increasing or decreasing sequence, a parameter configuration unit 102 for configuring and storing parameter sets of each brightness grade, and a picture sensing imaging image acquisition unit 103;
the image brightness quantization module 2 is used for performing brightness quantization calculation on the picture under each brightness level, and comprises an area calculation unit 201 for quantizing the brightness of pixel points, and an area merging unit 202 for extracting the overexposed area in the picture, processing and merging the overexposed area and the area to form a complete picture;
the ghost image energy calculating module 3 is used for carrying out ghost image quantization calculation on the image under each brightness level, and comprises a light source brightness calculating unit 301 for acquiring an image light source and calculating the brightness of the image light source, a ghost image brightness calculating unit 302 for acquiring and calculating the brightness value of each ghost image pixel in the ghost image, and a ghost image energy ratio calculating unit 303 for calculating the ratio of light source energy to ghost image energy;
a ghost shape calculation module 4 for generating a ghost shape map according to the quantization calculation result;
and the ghost shape energy display module 5 is used for generating a ghost energy image according to the quantization calculation result, and is also used for identifying the manually framed picture area, calculating and obtaining the brightest point ghost value in the area, and generating a ghost brightest point display image for displaying the brightest point ghost value.
The optical system ghost image measuring system is provided with an interactive interface 6 for operation of a user, and the interactive interface 6 is provided with:
a measurement button 601 for triggering the image acquisition module 1 and the image brightness quantization module 2 to execute operation;
a calculate energy button 602 for triggering the ghost energy calculation module 3 to perform an operation;
a report output button 603 for deriving a ghost report map;
an input box 604 for setting an energy upper limit value and an energy lower limit value;
a frame selection button 605 for triggering pop-up pictures and triggering the ghost-shaped energy display module 5 to perform operations;
a number of measurement angle options 606 for the user to select the currently measured light source angle; after selecting the corresponding measurement angle option, the measurement button 601 is clicked again to start the measurement operation.
The specific operation sequence is as follows:
step1, clicking a calibration light source button 607 by a mouse to calibrate the intensity of a 0-degree light source, wherein the operation only needs to be calibrated once at the beginning of measurement, and subsequent tests do not need to be calibrated every time; an empty light source data button 608 for resetting light source calibration data is further provided;
step2, adjusting the shooting angle of the lens to the light source, and clicking by a mouse to select the corresponding shooting angle;
step3, clicking a measurement button 601 by a mouse to start measurement, and acquiring images at different exposure levels;
step4, clicking a frame selection button 604 by a mouse, and observing a brightest area of the ghost image in the popped picture by naked eyes;
step5, clicking a calculate energy button 602 by a mouse;
step6, clicking a button 609 for checking the energy value by a mouse;
step7, repeating the step2 to the step6, and shooting the required angle;
step8, clicking a report output button 603 by a mouse to derive report pictures, namely generating three pictures for each test angle: a ghost shape map, a ghost energy map, and a brightest point ghost value map.
The above preferred embodiments should be considered as examples of the embodiments of the present application, and technical deductions, substitutions, improvements and the like similar to, similar to or based on the embodiments of the present application should be considered as the protection scope of the present patent.
Claims (9)
1. A ghost image measuring method of an optical system is characterized by comprising the following steps:
setting a sensor, and dividing the brightness parameter of the sensor into N continuous brightness levels;
acquiring images under various brightness levels through a sensor and quantizing the brightness of each pixel of the images;
calculating according to the light source brightness value and the ghost brightness value obtained by quantification to obtain a ghost value quantification value of the optical system, and generating a plurality of ghost report graphs for displaying measurement results;
further comprising the steps of:
step1, arranging a sensor; dividing the brightness related parameters of the sensor into N brightness levels according to the ascending or descending sequence of the image brightness, wherein each brightness level corresponds to one parameter set, and the brightness between the adjacent brightness levels is M times of the relationship;
acquiring imaging pictures through a sensor and executing the imaging pictures circularly for N times, acquiring pictures of one brightness level each time, and numbering the pictures of each brightness level acquired by the sensor as Pn, wherein N is 1,2,. N;
step3, scanning the picture Pn of each brightness level, extracting an overexposure area A1n in the picture Pn, subtracting | A1(n +1) -A1 n | from the overexposure areas of adjacent brightness levels, and obtaining a difference value which is a brightness area A2n of each brightness level;
step4, calculating the maximum brightness MAXn and the minimum brightness MINn of the picture in the brightness area A2 n;
step5, quantizing the brightness of each pixel point in each brightness level area A2n, wherein the quantization formula comprises:
L(i,j)＝K*Pow(M,n)+(1-K)*Pow(M,n+1)； (1)
K＝(LightVal(i,j)-MINn)/(MAXn-MINn)； (2)
wherein, Pow (M, n) is an index with M as the base n, K is a luminance equal-proportion coefficient, LightVal (i, j) is a picture luminance value of a pixel point, and a luminance quantization value L (i, j) of the corresponding pixel point is obtained by combining formulas (1) and (2); then, all the A2n areas are combined to form a complete picture, and the brightness quantization value L (i, j) of each pixel point on the picture can be obtained;
step6, scanning the picture Pn of each brightness level to find an effective light source, wherein the effective light source is an area containing a plurality of pixel points with brightness values larger than or equal to the brightness upper limit; when a plurality of pictures have effective light sources, selecting the picture with the minimum brightness level;
step7, calculating the brightness quantization value of the light source pixel;
S(i,j)＝＝K*Pow(M,n)+(1-K)*Pow(M,n+1)； (3)
combining the formulas (2) and (3) to obtain a brightness quantization value S (i, j) of the corresponding light source pixel;
step8, calculating the brightness quantization value of the ghost image pixel;
G(i,j)＝L’(i,j)–B(i,j)； (4)
l' (i, j) is the picture brightness quantization value of the position of the ghost pixel, and B (i, j) is the minimum brightness quantization value near the ghost pixel;
step 9, calculating the ratio of the ghost image energy of the light source;
the ratio of the ghost image energy of the light source is G (i, j)/S (i, j) (L' (i, j) -B (i, j))/S (i, j); (5)
step 10, generating a plurality of ghost image report graphs, wherein the ghost image report graphs comprise ghost image shape graphs or/and ghost image energy graphs;
selecting several pictures with obvious ghost phenomenon from the picture Pn to combine into one ghost shape picture;
and the ghost image energy map is associated with a plurality of color gradients according to the quantized values obtained in the step so as to display the change of the ghost image energy intensity.
2. The optical system ghost image measuring method according to claim 1, wherein: when generating a ghost image shape graph, selecting a plurality of pictures with obvious ghost images for synthesis by observing the pictures according to the collected pictures and the corresponding numbers thereof; or, the first X frames which are not completely overexposed in the frames are identified and selected for synthesis.
3. The optical system ghost image measuring method according to claim 1, wherein: and setting an energy upper limit value and an energy lower limit value, and associating a plurality of color gradual changes in combination with each quantized value obtained by calculation in the interval of the energy upper limit value and the energy lower limit value to realize the display of the ghost image energy intensity change.
4. A ghost image measuring method of an optical system according to claim 3, wherein: said ghost report map further comprising a brightest-point ghost value map; providing the complete picture generated in the step5, and framing and selecting a strong brightness area in the picture through manual observation; identifying and calculating a ghost brightness quantization value in the area, obtaining a brightest point ghost value through comparing the ghost brightness quantization values, and marking and displaying the brightest point ghost value in the brightest point ghost value image.
5. A ghost image measuring method of an optical system according to any one of claims 2 to 4, wherein: setting a plurality of measuring angles, respectively executing the steps 2-10 under each measuring angle, and correspondingly generating a plurality of ghost image report graphs under the measuring angle.
6. An optical system ghost image measuring system, comprising:
the image acquisition module is used for acquiring images according to preset parameters and numbering imaging pictures;
the image brightness quantization module is used for performing brightness quantization calculation on the pictures at all brightness levels;
the ghost image energy calculation module is used for carrying out ghost image quantitative calculation on the picture under each brightness level;
a ghost shape calculation module for generating a ghost shape graph according to the quantization calculation result;
and the ghost shape energy display module is used for generating a ghost energy image according to the quantization calculation result.
7. An optical system ghost image measuring system in accordance with claim 6, wherein:
the image acquisition module comprises a brightness parameter grade division unit for dividing the brightness of the image into N brightness grades according to the ascending or descending sequence of the brightness of the image, a parameter configuration unit for configuring and storing parameter sets of each brightness grade, and an image acquisition unit for image sensing imaging;
the image brightness quantization module comprises an area calculation unit for quantizing the brightness of pixel points, and an area merging unit for extracting an overexposed area in a picture, processing and merging the overexposed area and the overexposed area to form a complete picture;
the ghost energy calculating module comprises a light source brightness calculating unit for acquiring a picture light source and calculating the brightness of the picture light source, a ghost picture brightness calculating unit for acquiring and calculating the brightness value of each ghost pixel in a ghost picture, and a ghost energy ratio calculating unit for calculating the ratio of light source energy to ghost energy.
8. An optical system ghost image measuring system according to claim 6 or 7, characterized in that: the system comprises an interactive interface for user operation, and the interactive interface is provided with:
the measuring button is used for triggering the image acquisition module and the image brightness quantization module to execute operation;
a calculate energy button for triggering the ghost energy calculating module to execute the operation;
a report output button for deriving a ghost report map;
an input box for setting an energy upper limit value and an energy lower limit value;
a frame selection button for triggering pop-up pictures and triggering ghost shape energy display modules to execute operation;
the ghost shape energy display module is also used for identifying the manually framed picture area, calculating and obtaining the brightest point ghost value in the area, and generating a ghost brightest point display image for displaying the brightest point ghost value.
9. An optical system ghost image measuring system in accordance with claim 8, wherein:
the interactive interface is provided with a plurality of measurement angle options for a user to select a currently measured light source angle; and after the corresponding measurement angle option is selected, clicking a measurement button to start measurement operation.
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| CN106248351B (en) * | 2016-08-24 | 2018-08-28 | 中国科学院西安光学精密机械研究所 | Optical system ghost image measurement method based on optical system ghost image measuring device |
| CN106534841B (en) * | 2016-11-10 | 2018-04-20 | 宁波舜宇车载光学技术有限公司 | lens detection method and device |
| DE102017210635A1 (en) * | 2017-06-23 | 2017-08-17 | Carl Zeiss Smt Gmbh | Measuring device for an imaging optical module |
| CN107730545B (en) * | 2017-11-08 | 2020-07-03 | 视微影像(河南)科技有限公司 | Optical imaging method and system for dynamically eliminating ghost image |
| CN108120680B (en) * | 2017-12-19 | 2019-11-22 | 清华大学 | The stray light minimizing technology and device of micro-imaging based on photoelectric characteristic priori |
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