CN113283782A - Night scene illumination control method and system based on aesthetic evaluation - Google Patents
Night scene illumination control method and system based on aesthetic evaluation Download PDFInfo
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- CN113283782A CN113283782A CN202110644025.5A CN202110644025A CN113283782A CN 113283782 A CN113283782 A CN 113283782A CN 202110644025 A CN202110644025 A CN 202110644025A CN 113283782 A CN113283782 A CN 113283782A
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
Abstract
The invention provides a night scene illumination control method and system based on aesthetic evaluation, which comprises the following steps: collecting night scene illumination images and videos, wherein the quantity of the collected images and videos is not less than 1000; scoring the captured images and videos according to aesthetics; carrying out digital calculation on the images and videos through a computer, wherein the calculation dimensions comprise brightness, chroma and stroboscopic degree; establishing incidence relations between different night scene illumination images and video scores and computer digital calculation values; and performing aesthetic evaluation on the newly acquired night scene illumination image and the video by adopting the association relationship in the step S4, and changing the night scene illumination effect when the evaluation result is lower than expected until the night scene illumination evaluation effect meets the preset requirement. The invention can effectively avoid the lighting effect with extremely poor aesthetic effect caused by personal factors, and can correct the poor effect to the effect meeting a preset standard in a short time.
Description
Technical Field
The invention relates to the field of night scene illumination control, in particular to a night scene illumination control method and system based on aesthetic evaluation.
Background
With the development of night economy, various night lighting devices such as buildings, parks, river banks and the like are installed in more and more scenes, and the night lighting effect has no uniform aesthetic standard and no flexible and intelligent control method.
At present, the lighting control systems in the fields adopt pre-programming, and designers change the output effect of the controller by manually modifying input parameters of the controller to achieve the pre-programming effect. And stores the parameters of the controller in a memory. In actual operation, the controller calls the set parameters from the memory, so as to achieve the lighting effect.
The lighting effect completely depends on the personal aesthetic of the designer, the uniform standard is not provided, the kernel person can see the kernel wisdom person and see the intelligence, and some tourists like and dislike. The places for night scene lighting application are various, the specific methods and the implemented schemes are customized and exerted by designers according to the situations and requirements on the spot, no uniform standard exists, but many results violate the basic aesthetic framework, so that a great deal of complaints are caused, and the place operation benefit is low. The programmed effect cannot be dynamically adjusted in real time, and each adjustment needs to be redesigned, stored and controlled.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a night scene lighting control method and system based on aesthetic evaluation.
The invention provides a night scene lighting control method based on aesthetic evaluation, which comprises the following steps:
step S1: collecting a night scene illumination image and a night scene illumination video;
step S2: scoring the captured images and videos according to aesthetics;
step S3: carrying out digital calculation on the images and videos through a computer, wherein the calculation dimensions comprise brightness, chroma and stroboscopic degree;
step S4: establishing incidence relations between different night scene illumination images and video scores and computer digital calculation values;
step S5: and performing aesthetic evaluation on the newly acquired night scene illumination image and the video by adopting the association relationship in the step S4, and changing the night scene illumination effect when the evaluation result is lower than expected until the night scene illumination evaluation effect meets the preset requirement.
Preferably, in step S1, a camera or a video camera is used to capture a large number of night scene illumination images and videos, and at least 1000 images and videos are collected, wherein the distance between captured images is controlled by a focusing method so that the distance between the images corresponds to the distance of the general field of vision of human beings.
Preferably, the luminance in step S3 includes: setting a critical value of color conversion, converting a color image into a black-and-white picture, calculating a white area distribution state when the color image exceeds the critical value and is white and black when the color image does not reach the critical value, and calculating a brightness index, wherein the index refers to a white area ratio value, namely: white ratio is white area/image area.
Preferably, the chroma in step S3 includes: and calculating colors in the image, and judging the color harmony through numerical indexes of contrast colors, adjacent colors, similar colors, complementary colors and similar colors in the color system coordinates.
Preferably, the stroboscopic degree in step S3 includes: and (3) suddenly changing the illumination intensity from a low value to a high value within a fixed visual time, analyzing the captured video, and calculating the times that the brightness value suddenly changes from the low value to the high value within the fixed visual time and changes over a certain preset value.
Preferably, in step S4, the association relationship between the night scene illumination image and the video score and the computer digital calculation value is established by a statistical calculation method, a clustering technique analysis technique and a living neural network method; when a statistical calculation method and a clustering technology are adopted to establish an association relationship between the two, the distance measurement threshold value of the two is used as a judgment index of the similarity of the two; when the neural network is adopted to establish the relationship between the image characteristics and the model, each image characteristic can be used as training input data, and subjective evaluation grades of different lighting effects can be used as supervision data for training and learning the model.
Preferably, in step S5, when the statistical method or clustering technique is used for analysis, the distance between each index and the result with different lighting effect aesthetic scores or clustering rules generated in step S4 is calculated according to the index result calculated by the newly acquired night scene lighting image and video, and the nearest result is taken as the actual aesthetic score or grade of the lighting effect; when the neural network is adopted for analysis, the newly acquired night scene illumination image and the index numerical value of the video are used as input, and the aesthetic evaluation score or grade of the night scene illumination effect is predicted by utilizing the neural network.
The invention provides a night scene lighting control system based on aesthetic evaluation, which comprises the following components:
a sensor: the system comprises a camera, a controller, a display and a controller, wherein the camera is used for acquiring images and videos of night scene illumination;
aesthetic evaluation system: for assessing the aesthetic scores or ratings of night view lighting images and videos, the input being sensor data and the output being an aesthetic assessment score;
the lighting control system comprises: for changing the lighting effect;
an illumination device: the LED spot light comprises an LED lamp, an LED display, an LED spot light source, an LED strip lamp, an LED computer lamp, an LED dyeing lamp, a laser lamp and a projector.
Preferably, the sensor comprises a camera and a camera.
Preferably, the lighting control system changes the lighting effect of the lighting device by controlling the change of the input parameters of the respective lighting control system according to the result of the aesthetic evaluation system.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention can effectively avoid the lighting effect with extremely poor aesthetic effect caused by personal factors, and can correct the poor effect to the effect meeting a preset standard in a short time.
2. The invention can improve the aesthetic effect of night scene illumination of relevant places and improve the operational benefits.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic diagram of a 24-color hue circle in an embodiment of the present invention
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
At present, in the night scene lighting industry, no digital method for aesthetic evaluation exists, and particularly, the lighting effect of the whole environment is scored or evaluated by human subjectivity. The invention provides a night scene illumination control method based on aesthetic evaluation, which comprises the following steps:
step S1: a large number of night scene illumination images and videos are shot by a camera or a camera, and at least more than 1000 images and videos are collected. The distance of the captured image can be controlled by a focusing method, and the used distance is the distance which is common in the human vision.
Step S2: an organizational aesthetic expert scores the aesthetics of the images and videos described above in a number of grades, ranging from 0 to 100.
Step S3: the captured images and videos are digitally calculated by a computer, and an index at least comprising the following dimensions is calculated:
brightness: setting a critical value of color conversion, converting a color image into a black-and-white picture, calculating the white area distribution state when the color image exceeds the critical value and is white and when the color image does not reach the critical value, the color image is black, and calculating the brightness index. The index refers to the white area fraction value. White ratio-white area/image area
Chroma: and calculating colors in the image, and judging the color harmony through numerical indexes such as contrast colors, adjacent colors, similar colors, complementary colors, similar colors and the like in the color system coordinates. The present invention is illustrated using a 24-color phase diagram, as shown in fig. 1, wherein:
contrast color: based on a certain color, any two colors which are 120-150 degrees away from the color are mutually contrast colors, and the matching of the contrast colors is the strong contrast of the color phases, so the effect is bright and full, and the exciting and exciting pleasure is easily brought to people. The works are often in high-purity contrast color matching to show random, jumping and strong themes so as to attract the eyes of people.
Adjacent color: a certain color is taken as a reference, a color which is separated from the color by 60-90 degrees is taken as an adjacent color, and the contrast of the adjacent color belongs to the middle contrast of hue, so that the uniform feeling of a picture can be kept, the picture can be rich and vivid, the brightness and purity contrast can be increased, and the picture effect is enriched. This primary and secondary perception of hue enhances the attractiveness of color matching.
The same color: the color with a certain color as a reference and the color within 15 degrees of the color is the same color, the difference of the same color is very small, the feeling of simplicity, uniformity and stability is always given to people, the stereoscopic impression of the picture can be reflected through the light and shade layers, the picture can present a more distinct picture effect, a small amount of contrast color can be embellished, and the picture has bright points.
Similar colors are as follows: the color with the 30-degree interval between a certain color as the reference and the color is similar, the similar color has more obvious and rich matching effect than the similar color, can keep the same and harmonious feeling of the picture and present soft texture, and the aim of strengthening the color can be achieved through the contrast of color brightness and purity because the matching effect is relatively flat and monotonous.
Complementary color: based on a certain color, any two colors which are 180 degrees apart from the color are complementary, the hue contrast of the complementary color is the strongest, and the picture is richer than the contrast color and has more sensory stimulation.
And (3) achromatic color: black, which can convey a concise and powerful visual impression; white: the sense of pleasure and expansion is presented, and the visual sense of comfort is given to people; grey is a complete neutral color, is a reliable and flexible achromatic color, and has a sense of security and affinity.
The specific color-taking method comprises the following steps of processing an image by adopting a quadtree algorithm, taking out RGB values of color blocks, and setting various chroma values as pixel area/total area of load values.
Contrast color index is the pixel area/total area of a near-machine pixel from 120 degrees to minus 150 degrees on the color circle;
contrast color index is contrast color pixel area/total area;
neighboring color index is the neighboring color pixel area/total area;
homogeneous color index is the homogeneous color pixel area/total area;
similar color index is similar color pixel area/total area;
complementary color index is complementary color pixel area/total area;
stroboscopic degree: the illumination intensity suddenly changes from a low value to a high value within a fixed visual time. The captured video was analyzed and the number of times the brightness value (0-100) abruptly changed from low to high within 20ms and changed by more than 50 was calculated.
Step S4: and (3) establishing the association between different night scene lighting effect aesthetic evaluation score grades and the computer index numerical values in the third step by adopting a statistical calculation method, a clustering technology analysis technology, a neural network and other methods capable of establishing the association between the complex factors. When the correlation between the two is established by adopting a statistical calculation method and a clustering technology, the distance measurement threshold value of the two can be used as a judgment index of the similarity of the two; when the relation between the neural network and the complex factor is established by adopting the neural network or other technologies capable of establishing the incidence relation between the complex factors, each image characteristic can be used as training input data, and subjective evaluation grades of different lighting effects can be used as supervision data for training and learning the model.
Step S5: when a new night scene illumination effect image and video are obtained, the computer characteristic numerical value mentioned above is calculated firstly; then, when the statistical method or the clustering technology is adopted for analysis, the distance between each index and the result with different lighting effect aesthetic scores or clustering rules generated in the previous step can be calculated according to the index result calculated by the new data, and the result with the closest distance is taken as the actual aesthetic score or grade of the lighting effect; when the neural network or other technologies capable of establishing the incidence relation among the complex factors are adopted for analysis, the index numerical value of a new image or video can be used as input, and the aesthetic evaluation score or grade of the night scene lighting effect can be predicted by using the neural network.
The above-described aesthetic assessment method is instantaneous, i.e., the aesthetic assessment score or grade of the effect can be achieved in a short time based on the lighting effect image and video of the scene. When the result does not reach the preset standard, the lighting effect controller can reset the lighting effect and perform aesthetic scoring again through the method until the result reaches the preset standard.
The invention also discloses a night scene illumination control system based on aesthetic evaluation, which comprises: a sensor: the image and video for acquiring the night scene illumination can be a camera or a camera. Aesthetic evaluation system: for assessing the aesthetic scores or ratings of night view lighting images and videos, the input is sensor data and the output is an aesthetic assessment score. The system is based on a PC system, and the evaluation software is a computer target file executed on the PC system. The lighting control system comprises: the system for changing the lighting effect is generally a controller for each lighting effect, such as a controller for controlling the color, pattern, stroboscopic effect, etc. of the LED lamp, a device for controlling the output content of the projector, a device for controlling the color of the laser, a controller for controlling the brightness of the LED display screen, etc. The lighting control system changes the lighting effect of the lighting device by controlling the changing of the input parameters of the respective lighting control system according to the result of the aesthetic evaluation system. An illumination device: generally, the LED light source is an LED lamp, an LED display screen, an LED point light source, an LED strip lamp, an LED computer lamp, an LED dyeing lamp, a laser lamp, a projector and the like.
The invention can effectively avoid the lighting effect with extremely poor aesthetic effect caused by personal factors, and can correct the poor effect to the effect meeting a preset standard in a short time. The present invention can correct or improve the complaints of light pollution of a large number of people. The invention can also improve the aesthetic effect of night scene illumination of relevant places and improve the operational benefits.
Those skilled in the art will appreciate that, in addition to implementing the system and its various devices, modules, units provided by the present invention as pure computer readable program code, the system and its various devices, modules, units provided by the present invention can be fully implemented by logically programming method steps in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system and various devices, modules and units thereof provided by the invention can be regarded as a hardware component, and the devices, modules and units included in the system for realizing various functions can also be regarded as structures in the hardware component; means, modules, units for performing the various functions may also be regarded as structures within both software modules and hardware components for performing the method.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. A night scene lighting control method based on aesthetic evaluation is characterized by comprising the following steps:
step S1: collecting a night scene illumination image and a night scene illumination video;
step S2: scoring the captured images and videos according to aesthetics;
step S3: carrying out digital calculation on the images and videos through a computer, wherein the calculation dimensions comprise brightness, chroma and stroboscopic degree;
step S4: establishing incidence relations between different night scene illumination images and video scores and computer digital calculation values;
step S5: and performing aesthetic evaluation on the newly acquired night scene illumination image and the video by adopting the association relationship in the step S4, and changing the night scene illumination effect when the evaluation result is lower than expected until the night scene illumination evaluation effect meets the preset requirement.
2. A night-scene lighting control method based on aesthetic assessment according to claim 1, characterized by: in step S1, a camera or a video camera is used to capture a large number of night scene illumination images and videos, and at least 1000 images and videos are collected, wherein the distance between captured images is controlled by a focusing method to make the distance between the images conform to the distance of the general field of vision of human beings.
3. A night-scene lighting control method based on aesthetic assessment according to claim 1, characterized by: the luminance in step S3 includes: setting a critical value of color conversion, converting a color image into a black-and-white picture, calculating a white area distribution state when the color image exceeds the critical value and is white and black when the color image does not reach the critical value, and calculating a brightness index, wherein the index refers to a white area ratio value, namely: white ratio is white area/image area.
4. A night-scene lighting control method based on aesthetic assessment according to claim 1, characterized by: the chroma in step S3 includes: and calculating colors in the image, and judging the color harmony through numerical indexes of contrast colors, adjacent colors, similar colors, complementary colors and similar colors in the color system coordinates.
5. A night-scene lighting control method based on aesthetic assessment according to claim 1, characterized by: the stroboscopic degree in step S3 includes: and (3) suddenly changing the illumination intensity from a low value to a high value within a fixed visual time, analyzing the captured video, and calculating the times that the brightness value suddenly changes from the low value to the high value within the fixed visual time and changes over a certain preset value.
6. A night-scene lighting control method based on aesthetic assessment according to claim 1, characterized by: in step S4, the association relationship between the night scene illumination image and the video score and the computer numerical value is established by a statistical calculation method, a clustering technique analysis technique, or a living neural network method; when a statistical calculation method and a clustering technology are adopted to establish an association relationship between the two, the distance measurement threshold value of the two is used as a judgment index of the similarity of the two; when the neural network is adopted to establish the relationship between the image characteristics and the model, each image characteristic can be used as training input data, and subjective evaluation grades of different lighting effects can be used as supervision data for training and learning the model.
7. A night-scene lighting control method based on aesthetic assessment according to claim 1, characterized by: in step S5, when statistical methods or clustering techniques are used for analysis, the distance between each index and the result with different lighting effect aesthetic scores or clustering rules generated in step S4 is calculated according to the index result calculated by the newly acquired night view lighting image and video, and the result with the closest distance is taken as the actual aesthetic score or grade of the lighting effect; when the neural network is adopted for analysis, the newly acquired night scene illumination image and the index numerical value of the video are used as input, and the aesthetic evaluation score or grade of the night scene illumination effect is predicted by utilizing the neural network.
8. A night scene lighting control system based on aesthetic assessment, comprising:
a sensor: the system comprises a camera, a controller, a display and a controller, wherein the camera is used for acquiring images and videos of night scene illumination;
aesthetic evaluation system: for assessing the aesthetic scores or ratings of night view lighting images and videos, the input being sensor data and the output being an aesthetic assessment score;
the lighting control system comprises: for changing the lighting effect;
an illumination device: the LED spot light comprises an LED lamp, an LED display, an LED spot light source, an LED strip lamp, an LED computer lamp, an LED dyeing lamp, a laser lamp and a projector.
9. A night vision lighting control system based on aesthetic assessment according to claim 8 characterized by: the sensor comprises a camera and a camera.
10. A night vision lighting control system based on aesthetic assessment according to claim 8 characterized by: the lighting control system changes the lighting effect of the lighting device by controlling the changing of the input parameters of the respective lighting control system according to the result of the aesthetic evaluation system.
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| CN105682310A (en) * | 2014-11-19 | 2016-06-15 | 刘皓强 | Combined lighting device and method based on image quality control |
| CN110769164A (en) * | 2019-11-21 | 2020-02-07 | 天津九安医疗电子股份有限公司 | Method for automatically adjusting lighting level of target scene and intelligent lighting control system |
| US20210158008A1 (en) * | 2019-11-21 | 2021-05-27 | Beihang University | UAV Video Aesthetic Quality Evaluation Method Based On Multi-Modal Deep Learning |
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- 2021-06-09 CN CN202110644025.5A patent/CN113283782A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105682310A (en) * | 2014-11-19 | 2016-06-15 | 刘皓强 | Combined lighting device and method based on image quality control |
| CN110769164A (en) * | 2019-11-21 | 2020-02-07 | 天津九安医疗电子股份有限公司 | Method for automatically adjusting lighting level of target scene and intelligent lighting control system |
| US20210158008A1 (en) * | 2019-11-21 | 2021-05-27 | Beihang University | UAV Video Aesthetic Quality Evaluation Method Based On Multi-Modal Deep Learning |
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