CN111712021A - Intelligent adjusting method, device and system for lamplight of art gallery - Google Patents
Intelligent adjusting method, device and system for lamplight of art gallery Download PDFInfo
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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
- H05B47/105—Controlling the light source in response to determined parameters
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- 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
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
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Abstract
The invention relates to an intelligent adjusting device, method and system for art gallery light, wherein the specific method comprises the following steps: collecting data of the size, the position and the content of the painting; analyzing the data of the drawing size, the drawing position and the drawing content to obtain a lamp irradiation angle and a beam angle; adjusting the irradiation angle and the beam angle of the lamp; extracting the characteristic value of the painting image, comparing the characteristic value templates in the database, and determining the painting category; calling preset lighting mode parameters corresponding to the categories to perform input adjustment; the lamp irradiation angle and the beam angle are accurately adjusted. The painting identification and light adjustment method provided by the invention can effectively realize light control, and has the beneficial effects of providing a good visual environment, not damaging paintings, and reducing complicated manual labor.
Description
Technical Field
The invention belongs to the technical field of light adjustment, and particularly relates to an intelligent adjusting method, device and system for art gallery light.
Background
In the art gallery, the light environment requirement of works is extremely important, so that the good visual environment required by audiences is met, and the exhibits are prevented from being damaged by light radiation, so that the regulation and control of light are extremely complicated. Meanwhile, the exhibition of the art gallery is frequent, and different lights need to be adjusted corresponding to different exhibits.
The existing light illumination regulation control system mainly focuses on two aspects, one is only light regulation, and the other is only the position of the upper part, the lower part, the left part and the right part of a controllable lamp body.
Disclosure of Invention
The invention aims to provide an intelligent adjusting method, device and system for lamplight of an art gallery to solve the technical problems.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides an intelligent adjusting method for art gallery lighting, including:
collecting data of the size, the position and the content of the painting;
analyzing the data of the drawing size, the drawing position and the drawing content to obtain a lamp irradiation angle and a beam angle;
adjusting the irradiation angle and the beam angle of the lamp;
extracting the characteristic value of the painting image, comparing the characteristic value templates in the database, and determining the painting category;
calling preset lighting mode parameters corresponding to the categories to perform input adjustment;
the lamp irradiation angle and the beam angle are accurately adjusted.
Preferably, the method of collecting data of the size, position and content of the painting comprises:
identifying data for at least one picture at a time;
encoding the data;
respectively transmitting the data to a lamp control module corresponding to each picture;
the lamp control module decodes.
Preferably, the method for analyzing the data of the drawing size, the drawing position and the drawing content to obtain the lamp irradiation angle and the beam angle comprises the following steps:
determining the image edge according to the data of the drawing size, the position and the content, and finding the poles of the upper edge, the lower edge, the left edge and the right edge;
making horizontal lines and vertical lines to position the boundary of the graph;
calculating the size of the image according to the boundary positioning, wherein x is the size in the horizontal direction, and y is the size in the vertical direction;
and determining the size of the beam angle of the lamp and the lamp adjusting angle.
Preferably, the beam angle of the lamp and the lamp adjustment angle are determined according to the following formulas;
in the formula, theta represents the size of a beam angle; alpha is the angle of lamp adjustment; l is the distance between the lamp and the wall, and the unit is m; h is the height from the lamp to the ground, and the unit is m; y is the vertical dimension of the drawing in m.
Preferably, the method for determining the edges of the image and finding the poles of the upper, lower, left and right edges according to the data of the drawing size, the position and the content comprises the following steps:
carrying out gray level processing on the color image, and adopting Lab color space segmentation;
carrying out edge detection through a Sobel operator;
preferably, after the data of the size, the position and the content of the painting is collected, the method further comprises the following steps:
extracting the characteristics of the painting image;
summarizing the types of the paintings, and correspondingly dividing the paintings into paintings which are particularly sensitive to light, paintings which are sensitive to light and paintings which are not sensitive to light;
making a binary matrix characteristic template as a database;
by extracting the features of the images, summarizing the types of the paintings laid and shown in the art gallery, and making a binary matrix feature template as a database, wherein the binary matrix feature template is divided into three types, namely, the type which is particularly sensitive to light, the type which is sensitive to light and the type which is not sensitive to light; after the painting is identified by the camera, extracting the characteristic value of the target painting to compare with the database, and judging the category of the target painting;
preferably, the method for extracting the feature value of the painting image, comparing the feature value templates in the database and determining the painting category includes:
carrying out image subtraction on a feature template matrix M of the painting to be identified and a feature template matrix N in a database, and recording a difference value subtracted from each feature template pixel, and carrying out modulo re-summation on a value X; the formula for obtaining the value X is:
comparing the X with a set threshold value Y, if the X is less than or equal to Y, identifying the picture of the characteristic template as a result, and calling a color temperature value corresponding to the picture type;
if X is greater than Y, re-extracting the characteristic value matrix M to obtain a new matrix template M1, and then performing formula calculation with a characteristic template matrix N in the database to obtain X1;
comparing X1 with Y for 100 times, if X is>If Y is still true, the feature template matrix N in another database is transformedn(ii) a If no difference smaller than the set threshold is found, it is not possible to identify what type the drawing belongs to.
In a second aspect, an embodiment of the present invention provides an intelligent adjusting device for art gallery lighting, including:
the acquisition unit is used for acquiring data of the size, the position and the content of the painting; the system is also used for collecting illumination data, color temperature data and environment brightness data;
the control unit is used for analyzing the data of the size, the position and the content to obtain a lamp irradiation angle and a beam angle; the method is also used for extracting the characteristic value of the drawing image, comparing the characteristic value templates in the database and determining the drawing type; extracting the characteristics of the painting image; summarizing the types of the paintings, and correspondingly dividing the paintings into paintings which are particularly sensitive to light, paintings which are sensitive to light and paintings which are not sensitive to light; making a binary matrix characteristic template as a database;
the intelligent lighting adjusting unit is used for adjusting the irradiation angle and the beam angle of the lamp; the preset lighting mode parameters corresponding to the categories are called for input adjustment; the device is also used for accurately adjusting the irradiation angle and the beam angle of the lamp and further accurately adjusting the illumination and the color temperature value of the lamplight, so that the illumination of a working surface (picture) is adjusted to meet the standard range corresponding to the picture.
Preferably, the control unit includes: the picture drawing identification module, the data processing module and the image processing module;
the drawing identification module is used for identifying data of at least one drawing at a time;
the data processing module is used for analyzing the data of the size, the position and the content to obtain a lamp irradiation angle and a beam angle; encoding the data; respectively transmitting the data to a lamp control module corresponding to each picture; determining the image edge according to the data of the drawing size, the position and the content, and finding the poles of the upper edge, the lower edge, the left edge and the right edge; carrying out gray level processing on the color image, and adopting Lab color space segmentation; carrying out edge detection through a Sobel operator; making horizontal lines and vertical lines to position the boundary of the graph; calculating the size of the image according to the boundary positioning, wherein x is the size in the horizontal direction, and y is the size in the vertical direction; determining the size of a beam angle of a lamp and a lamp adjusting angle;
the image processing module is used for extracting the characteristic value of the painting image, comparing the standard values of the illumination and the color temperature of the painting and determining the painting category; the image edge is determined by adopting an edge detection Sobel operator according to the obtained image information, and poles of upper, lower, left and right edges are found to be used as horizontal lines and vertical lines for carrying out boundary positioning of the graph;
light intelligent regulation unit includes: the device comprises an illumination module, a color temperature module, an ambient brightness module and an adjusting module;
the illumination module is used for judging whether the average illumination of the painting is within a standard range or not according to the collected light environment illumination value of the painting;
the color temperature module is used for judging whether the color temperature is in a standard range or not through the collected light environment color temperature of the painting;
the environment brightness module is used for judging whether the environment contrast is in a standard range or not according to the collected painting and the ambient light environment brightness and the ratio of the painting brightness value to the background brightness value;
the adjusting module is used for adjusting the irradiation angle and the beam angle of the lamp; the preset lighting mode parameters corresponding to the categories are called for input adjustment; the device is also used for accurately adjusting the irradiation angle and the beam angle of the lamp and further accurately adjusting the illumination and the color temperature value of the lamplight, so that the illumination of a working surface (picture) is adjusted to meet the standard range corresponding to the picture;
the acquisition unit also comprises an illumination data acquisition module, a color temperature data acquisition module and an environment brightness data acquisition module;
the illumination data acquisition module is used for acquiring a luminous environment illumination value of the picture;
the color temperature data acquisition module is used for acquiring the color temperature value of the light environment of the painting;
and the environment brightness data acquisition module is used for acquiring the light environment brightness values of the painting and the surroundings.
In a third aspect, an embodiment of the present invention further provides an intelligent art gallery light adjusting system, where the intelligent art gallery light adjusting system is configured to execute any one of the intelligent art gallery light adjusting methods of the present invention.
Fourth aspect an embodiment of the present application further provides a storage medium having a computer program stored thereon, where the computer program, when executed by a processor, implements any of the intelligent art gallery light adjusting methods of the present application.
The existing light illumination regulation control system mainly focuses on two aspects, one is only light regulation, and the other is only the position of the upper part, the lower part, the left part and the right part of a controllable lamp body. According to the invention, the painting identification system, the control system and the intelligent lighting adjusting system are combined to realize the intelligentized lighting adjustment of the art gallery, so that the existing lighting adjusting mode is improved. The whole lighting system is controlled in all directions through drawing identification and intelligent lighting adjustment; the painting identification and light adjustment method provided by the invention can effectively realize light control, and has the beneficial effects of providing a good visual environment, not damaging paintings, and reducing complicated manual labor.
The invention collects the size, position and content of the painting based on the image processing technology, and obtains the size of the painting from the image processing technology, so as to calculate the light irradiation position, further change the angle of the lamp, classify the painting through the identified painting content, and further judge the color temperature value of the painting under the standard. Through illumination module, colour temperature module and ambient brightness module data acquisition, carry out feedback control to light parameter, consequently have and to guarantee good illuminating effect, can not cause the beneficial effect of damage to the painting simultaneously. The design of the invention greatly saves the workload of exhibition staffs, has the advantages of convenient and rapid light adjustment, exhibition time saving, suitability for various environments, easy use and maintenance, greatly improved visitors' visual experience, and greatly improved electricity utilization safety of art museums.
Drawings
FIG. 1 is a flowchart illustrating an intelligent adjusting method for lights of an art gallery according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a method for collecting data on size, position and content of a painting according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating the steps of analyzing the data of the drawing size, position and content to obtain the lamp irradiation angle and beam angle according to an embodiment of the present invention;
FIG. 4 is a flowchart of a method for determining edges of an image and finding poles at upper, lower, left, and right edges according to the data of the drawing size, position, and content according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating steps involved after collecting data on the size, position, and content of a painting according to an embodiment of the present invention;
FIG. 6 is a table of standard values of paint illuminance and color temperature in accordance with an embodiment of the present invention;
FIG. 7 is a flowchart illustrating a method for extracting feature values of a drawing image, comparing feature value templates in a database, and determining a drawing type according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of an intelligent adjusting device for lights of an art gallery according to an embodiment of the present invention;
fig. 9 is a schematic diagram of an intelligent art gallery lighting adjustment apparatus according to another embodiment of the invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments thereof which are illustrated in the appended drawings. In addition, the embodiments and features of the embodiments of the present application may be combined with each other without conflict. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating an intelligent art gallery lighting adjustment method according to an embodiment of the invention; the intelligent adjusting method for the lamplight of the art gallery; the method comprises the following steps:
s110, collecting data of the size, the position and the content of a picture;
s120, analyzing the data of the drawing size, the drawing position and the drawing content to obtain a lamp irradiation angle and a beam angle;
s130, adjusting the irradiation angle and the beam angle of the lamp;
specifically, the luminaire irradiation angle and the beam angle are the luminaire irradiation angle and the beam angle obtained according to S120;
s140, extracting characteristic values of the painting images, comparing characteristic value templates in the database, and determining the painting types;
specifically, according to the collected contents of the paintings, extracting characteristic values of the images of the paintings, comparing characteristic value templates in a database, and determining the type of the paintings;
s150, calling preset light mode parameters corresponding to the categories to perform input adjustment;
in some embodiments, the preset light mode parameters corresponding to the categories are called to adjust the lamp, for example, to adjust the illumination and color temperature of the feedback input light;
and S160, accurately adjusting the irradiation angle and the beam angle of the lamp.
Specifically, the illumination angle and the beam angle of the lamp are accurately adjusted through the step of S160, and the illumination and the color temperature value of the lamp light are further accurately adjusted, so that the illumination of the working surface (picture) is adjusted to meet the standard range corresponding to the picture making;
in some embodiments, feedback adjustment is performed according to data of the color temperature acquisition module, the ambient brightness module and the illumination acquisition module, so as to accurately adjust the illumination angle and the beam angle of the lamp, and the illumination and color temperature parameters of the lamp light.
In some embodiments, said collecting data of the content of the painting further comprises collecting a luminous ambient illuminance value of the painting; collecting the color temperature value of the light environment of the painting; and collecting the brightness values of the painting and the surrounding light environment. Judging whether the average illumination of the painting is within a standard range or not according to the collected light environment illumination value of the painting; judging whether the color temperature is within a standard range or not through the collected color temperature of the light environment of the painting;
in some embodiments, a TCS3414 color sensing chip is used for collecting color temperature of the light environment to obtain a color temperature value of the light environment; the color value of collection is through the inside analog-to-digital conversion output digital signal of chip, utilizes the formula to obtain each passageway tristimulus value, converts x, y colour temperature, obtains the luminous environment colour temperature value that detects: the formula is:
T＝-437n3+360n2-6861n+5514.31
n＝(x-0.3320)/(y-0.1858)
in the formula, T represents the obtained color temperature value of the light environment; substituting the following formula n into the above formula to calculate T; n represents a conversion process value of the conversion process; x represents a color coordinate value (common knowledge color coordinate value); y represents a color coordinate value (common knowledge color coordinate value);
judging whether the environment contrast is within a standard range or not through the collected painting and the ambient light environment brightness and the ratio of the painting brightness value to the background brightness value; adjusting the irradiation angle and the beam angle of the lamp through an adjusting module; the device is also used for accurately adjusting the irradiation angle and the beam angle of the lamp and further accurately adjusting the illumination and the color temperature value of the lamplight, so that the illumination of a working surface (picture) is adjusted to meet the standard range corresponding to the picture.
The intelligent adjusting method for the lamplight of the art gallery, provided by the invention, can effectively realize intelligent lamplight control, and has the beneficial effects of providing a more excellent visual environment, not damaging paintings, greatly reducing the labor burden caused by manually adjusting the lamplight, and greatly improving the accuracy of lamplight adjustment.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for collecting data of a size, a position and a content of a picture according to an embodiment of the present invention; the method comprises the following steps:
s210, identifying data of at least one picture at a time;
specifically, data of at least one picture can be identified at a time by the image acquisition device;
s220, encoding the data;
s230, respectively transmitting the data to a lamp control module corresponding to each picture;
and S240, decoding by the lamp control module.
Specifically, the image acquisition equipment comprises a camera and a camera; in some embodiments, three pictures can be identified by one camera, and the data of the three pictures are respectively transmitted to the central processing module at the tail ends of three lamps corresponding to the three pictures in a wireless transmission mode. For example, in the image capturing process, the camera sequentially captures paintings P1, P2 and P3 to be irradiated from left to right, the three groups of different captured data are respectively endowed with different identification codes for transmission, and the lamps L1, L2 and L3 corresponding to the paintings P1, P2 and P3 can only decode the uniquely corresponding identification codes. Through this art gallery light intelligent regulation method, have the beneficial effect of guaranteeing the data transmission accuracy, have the load burden that carries that reduces art gallery light intelligent regulation device and system for data interaction speed promotes work efficiency's beneficial effect.
Referring to fig. 3, fig. 3 is a flowchart illustrating a step of analyzing the data of the drawing size, the drawing position and the drawing content to obtain the lamp irradiation angle and the beam angle according to an embodiment of the present invention; the method comprises the following steps:
s310, determining image edges according to the data of the drawing size, the position and the content, and finding poles of upper, lower, left and right edges;
s320, positioning the boundaries of the graphs by making horizontal lines and vertical lines;
s330, calculating the size of the image according to the boundary positioning, wherein x is the size in the horizontal direction, and y is the size in the vertical direction;
s340, determining the size of the beam angle of the lamp and the adjusting angle of the lamp.
The method for determining the size of the beam angle of the lamp and the adjusting angle of the lamp is according to the following formula (1) and formula (2);
in the formula, theta represents the size of a beam angle; alpha is the angle of lamp adjustment; l is the distance between the lamp and the wall, and the unit is m; h is the height from the lamp to the ground, and the unit is m; y is the vertical dimension of the drawing in m.
In some embodiments, the height of the light fixture is equal to the height of the uppermost edge position of the painting.
By the method, the beneficial effects of ensuring that the intelligent art gallery lighting adjusting device and the intelligent art gallery lighting adjusting system have high intelligent characteristics are achieved, the response of the intelligent art gallery lighting adjusting device and the intelligent art gallery lighting adjusting system is more timely and close to the actual working environment of painting, and the beneficial effects of improving the visual experience of visitors are achieved.
Referring to fig. 4, fig. 4 is a flowchart illustrating a method for determining an image edge and finding poles at upper, lower, left and right edges according to data of the drawing size, position and content according to an embodiment of the present invention; the method comprises the following steps:
s410, carrying out gray level processing on the color image, and adopting Lab color space segmentation;
and S420, carrying out edge detection through a Sobel operator.
Specifically, the Sobel operator mainly weights the influence of the positions of the pixels, so that the fuzzy degree of the edge can be reduced, and more accurate edge direction information can be provided; the operator comprises two groups of 3-by-3 matrixes, one group is a transverse matrix, the other group is a longitudinal matrix, the transverse matrix and the longitudinal matrix are respectively subjected to plane convolution with the image to respectively obtain a transverse brightness difference approximate value and a longitudinal brightness difference approximate value, a proper threshold value is selected to judge whether the gray value of the M pixel is greater than or equal to the threshold value, and if the gray value of the M pixel is greater than or equal to the threshold value, the gray value is an image edge point. The image display result calculation is as shown in formula (3), formula (4), and formula (5):
in the formula, I is an original image; sx and Sy represent images subjected to lateral and longitudinal edge detection, respectively; and S is a final display result.
By the method, the intelligent light adjusting device and the intelligent light adjusting system for the art gallery are guaranteed, the beneficial effect of high intelligent characteristic is achieved, the actual working environment that the intelligent light adjusting device and the intelligent light adjusting system for the art gallery respond more timely and are close to paintings is achieved, and the beneficial effect of visual feeling of visitors is improved.
Referring to fig. 5, fig. 5 is a flowchart illustrating steps further included after collecting data of the size, the position and the content of the painting according to an embodiment of the present application; the steps include:
s510, extracting the characteristics of the painting image;
s520, summarizing the types of the paintings, and correspondingly dividing the paintings into paintings which are particularly sensitive to light, paintings which are sensitive to light and paintings which are not sensitive to light;
and S530, manufacturing a binary matrix characteristic template as a database.
By extracting the features of the images, summarizing the types of the paintings laid and shown in the art gallery, and making a binary matrix feature template as a database, wherein the binary matrix feature template is divided into three types, namely, the type which is particularly sensitive to light, the type which is sensitive to light and the type which is not sensitive to light; the binary matrix is used to convert pixel values of 0-255 into pixel values of only 0 and 1. After the pictures are identified by the camera, the characteristic value of the target picture is extracted and compared with the database, and the category of the target picture is judged. Through the steps, a binary matrix characteristic template can be manufactured to serve as a database. By the method, the intelligent light adjusting device and system for the art gallery can be guaranteed, the ability of quickly responding to the change of the environment where the painting is located can be achieved, the device and the system can run more smoothly through the application of the database, and therefore the beneficial effect of visual perception of visitors is improved.
Referring to fig. 6, fig. 6 is a table of standard values of illuminance and color temperature for a picture according to an embodiment of the present invention; the table is the parameter standard values of different classes of pictures as the preset light modes; the standard values of the parameters are shown in FIG. 6; and after the drawing category is determined by extracting the characteristic value of the drawing image and comparing the characteristic value with the characteristic value template database, calling the standard value of the illumination and the color temperature of the corresponding category.
Referring to fig. 7, fig. 7 is a flowchart illustrating a method for extracting feature values of a painting image, comparing the feature value templates in a database, and determining a painting category according to an embodiment of the present invention; the method comprises the following steps:
s710, carrying out image subtraction on a feature template matrix M of the painting to be recognized and a feature template matrix N in a database, and recording a difference value subtracted from each feature template pixel, taking a mode and then summing a value X; the formula is as follows:
s720, comparing X with a set threshold value Y, if X is less than or equal to Y, identifying the picture of the characteristic template as a result, and calling a color temperature value corresponding to the picture type;
s730, if X is larger than Y, re-extracting the characteristic value matrix M to obtain a new matrix template M1, and then performing formula calculation with a characteristic template matrix N in the database to obtain X1;
s740, comparing X1 with Y for 100 times, if X is>If Y is still true, the feature template matrix N in another database is transformedn(ii) a If no difference smaller than the set threshold is found, it is not possible to identify what type the drawing belongs to.
In some embodiments, X1 is compared with Y100 times if X>If Y is still true, the feature template matrix N in another database is transformedn(ii) a This is repeated up to 3000 times; if no difference smaller than the set threshold is found, it is not possible to identify what type the drawing belongs to.
In some embodiments, the method for extracting the feature values of the drawing image, comparing the feature value templates in the database and determining the drawing type is to determine the drawing type by comparing the standard values of the illumination and the color temperature of the drawing.
According to the invention, by combining painting identification, image processing, data processing and intelligent light adjustment, the intelligentization of the light adjustment of the art gallery is realized, and the intelligent light adjustment device has the beneficial effects of providing a good visual environment, not damaging paintings and simultaneously reducing complicated manual labor.
Referring to fig. 8, fig. 8 is a schematic diagram of an intelligent adjusting device for lights of an art gallery according to an embodiment of the present disclosure; light intelligent regulation device 2 includes:
the acquisition unit 3 is used for acquiring data of the size, the position and the content of the painting; the system is also used for collecting illumination data, color temperature data and environment brightness data;
a control unit 4 for analyzing the data of the size, position and content to obtain a lamp irradiation angle and a beam angle; the method is also used for extracting the characteristic value of the drawing image, comparing the characteristic value templates in the database and determining the drawing type; extracting the characteristics of the painting image; summarizing the types of the paintings, and correspondingly dividing the paintings into paintings which are particularly sensitive to light, paintings which are sensitive to light and paintings which are not sensitive to light; making a binary matrix characteristic template as a database;
in some embodiments, the control unit 4 is further configured to identify the size, location and content of the drawing; the data of the drawing size, the position and the content from the acquisition unit are processed; the system is also used for processing illumination data, color temperature data and environment brightness data;
the intelligent lighting adjusting unit 5 is used for adjusting the lighting angle and the beam angle of the lamp; the preset lighting mode parameters corresponding to the categories are called for input adjustment; the device is also used for accurately adjusting the irradiation angle and the beam angle of the lamp and further accurately adjusting the illumination and the color temperature value of the lamplight, so that the illumination of a working surface (picture) is adjusted to meet the standard range corresponding to the picture.
In some embodiments, the intelligent lighting adjustment unit 5 further precisely adjusts the illumination and the color temperature value of the lighting by calling the preset lighting mode parameter corresponding to the category.
Referring to fig. 9, fig. 9 is a schematic view of an intelligent art gallery light adjusting device according to another embodiment of the present application; the device comprises, the control unit 11, including: a painting identification module 12, a data processing module 13 and an image processing module 14;
a drawing identification module 12 for identifying data of at least one drawing at a time;
specifically, the image capturing device 50 performs data recognition of at least one frame at a time on the size, position, and content of the captured frame;
a data processing module 13 for analyzing the data of the size, position and content to obtain a lamp irradiation angle and a beam angle; encoding the data; respectively transmitting the data to a lamp control module corresponding to each picture; determining the image edge according to the data of the drawing size, the position and the content, and finding the poles of the upper edge, the lower edge, the left edge and the right edge; carrying out gray level processing on the color image, and adopting Lab color space segmentation; carrying out edge detection through a Sobel operator; making horizontal lines and vertical lines to position the boundary of the graph; calculating the size of the image according to the boundary positioning, wherein x is the size in the horizontal direction, and y is the size in the vertical direction; and determining the size of the beam angle of the lamp and the lamp adjusting angle.
Specifically, the data processing module 13 analyzes the data of the drawing size, the position and the content through data processing and calculation; the system is also used for processing illumination data, color temperature data and environment brightness data; calling a preset lighting mode parameter for comparison, and realizing feedback adjustment to enable the lighting parameter to be more accurate;
the image processing module 14 is used for extracting the characteristic value of the painting image, comparing the standard values of the illumination and the color temperature of the painting, and determining the painting category; the image edge is determined by adopting an edge detection Sobel operator according to the obtained image information, and poles of upper, lower, left and right edges are found to be used as horizontal lines and vertical lines for carrying out boundary positioning of the graph;
the light intelligent adjusting unit 15 includes: the system comprises an illumination module 16, a color temperature module 17, an ambient brightness module 18 and an adjusting module 19;
the illumination module 16 is used for judging whether the average illumination of the painting is within a standard range according to the collected illumination value of the luminous environment of the painting;
the color temperature module 17 is used for judging whether the color temperature is within a standard range or not according to the collected color temperature of the light environment of the painting;
the environment brightness module 18 is used for judging whether the environment contrast is within a standard range or not according to the collected painting and the ambient light environment brightness and the ratio of the painting brightness value to the background brightness value; e.g., less than or equal to 5: 1;
the adjusting module 19 is used for adjusting the lamp irradiation angle and the beam angle; the preset lighting mode parameters corresponding to the categories are called for input adjustment; the device is also used for accurately adjusting the irradiation angle and the beam angle of the lamp and further accurately adjusting the illumination and the color temperature value of the lamplight, so that the illumination of a working surface (picture) is adjusted to meet the standard range corresponding to the picture.
Specifically, in some embodiments, the illumination module 16 is configured to collect a light ambient illumination value around the painting; for example, a BH1750 chip is used to collect the illuminance of the light environment, and the illuminance value of the light environment is obtained.
And the color temperature module 17 is used for collecting the color temperature of the light environment around the painting, is connected with the scene calling module, and feeds the collected data back to the image processing module through the AD conversion of the scene calling module to carry out lamplight color temperature micro-adjustment. For example, comprising the steps of: collecting the color temperature of the luminous environment by adopting a TCS3414 color sensing chip to obtain the color temperature value of the luminous environment; the color value of collection is through the inside analog-to-digital conversion output digital signal of chip, utilizes the formula to obtain each passageway tristimulus value, converts x, y colour temperature, obtains the luminous environment colour temperature value that detects:
T＝-437n3+360n2-6861n+5514.31
n＝(x-0.3320)/(y-0.1858)
and the ambient brightness module 18 is used for collecting the ambient light ambient brightness around the picture, is connected with the scene calling module, and feeds the collected data back to the image processing module through the AD conversion of the scene calling module to carry out lamplight brightness micro-adjustment. For example, a TCS3404 photosensitive unit is adopted to respectively collect the painting content and the ambient light environment brightness, and the painting content and the ambient light environment brightness are compared to judge whether the painting content and the ambient light environment brightness meet the requirements or not;
an acquisition unit 30 for acquiring data of the size, position and content of the painting; the system is also used for collecting illumination data, color temperature data and environment brightness data; the acquisition unit 30 further comprises an illumination data acquisition module 31, a color temperature data acquisition module 32 and an ambient brightness data acquisition module 33;
the illumination data acquisition module 31 is used for acquiring a luminous environment illumination value of the picture;
the color temperature data acquisition module 32 is used for acquiring the color temperature value of the light environment of the painting;
the ambient brightness data collection module 33 is used for collecting the light ambient brightness values of the painting and the surroundings.
Specifically, the acquisition unit 30 is connected with an acquisition device 50, and the acquisition device 50 comprises a camera and a camera; through illumination module 16, colour temperature module 17, ambient brightness module 18 obtain data from acquisition unit 30, with the image processing module 14 of control unit 11 call preset light pattern parameter that the classification corresponds is compared, realizes feedback input, through light intelligent regulation unit 15 accurate adjustment lamps and lanterns shine angle and beam angle, accurate regulation light.
After the data processing module 13 of the control unit 11 analyzes and processes the size data obtained by the painting recognition module 12 of the control unit 11, the lamp irradiation angle and the beam angle are adjusted by the adjusting module 19; and the image processing module 14 calls preset light mode parameters to compare, feedback input is realized, and the lamp irradiation angle and the beam angle are further more accurately adjusted according to the light parameters.
The control unit 11 compares the ambient illuminance collected by the illuminance data collection module 31 of the collection unit 30, the color temperature collected by the color temperature data collection module 32 and the ambient brightness value collected by the ambient brightness data collection module 33 with a preset standard light mode, that is, after the category of the painting is identified, the control unit 11 immediately calls basic light parameters conforming to the painting, and then according to the numerical values fed back by the illuminance module 16, the color temperature module 17 and the ambient brightness module 18, the adjustment module of the intelligent light adjustment unit performs light local parameter fine adjustment, so that the painting can present better visual effect under the condition of meeting the range requirement in the table of fig. 6.
The embodiment of the invention also provides an intelligent adjusting system for the lamplight of the art gallery, which is used for executing the intelligent adjusting method for the lamplight of the art gallery in any embodiment of the invention.
Embodiments of the present application further provide an electronic device comprising a processor and a machine-readable storage medium storing machine-executable instructions executable by the processor, the processor-executable instructions, when invoked and executed by the processor, causing the processor to: the intelligent adjusting method for the lamplight of the art gallery, provided by any embodiment of the invention, is realized.
An embodiment of the present application further provides a storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements any of the intelligent art gallery lighting adjustment methods of the present application.
The invention is not the best known technology.
The system/computer device integrated components/modules/units, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by a processor to implement the steps of the above method embodiments. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
In the several embodiments provided in the present invention, it should be understood that the disclosed system and method may be implemented in other ways. For example, the system embodiments described above are merely illustrative, and for example, the division of the components is only one logical division, and other divisions may be realized in practice.
In addition, each functional module/component in each embodiment of the present invention may be integrated into the same processing module/component, or each module/component may exist alone physically, or two or more modules/components may be integrated into the same module/component. The integrated modules/components can be implemented in the form of hardware, or can be implemented in the form of hardware plus software functional modules/components.
It will be evident to those skilled in the art that the embodiments of the present invention are not limited to the details of the foregoing illustrative embodiments, and that the embodiments of the present invention are capable of being embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the embodiments being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. Several units, modules or means recited in the system, apparatus or terminal claims may also be implemented by one and the same unit, module or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (11)
1. An intelligent adjusting method for light of an art gallery is characterized by comprising the following steps:
collecting data of the size, the position and the content of the painting;
analyzing the data of the drawing size, the drawing position and the drawing content to obtain a lamp irradiation angle and a beam angle;
adjusting the irradiation angle and the beam angle of the lamp;
extracting the characteristic value of the painting image, comparing the characteristic value templates in the database, and determining the painting category;
calling preset lighting mode parameters corresponding to the categories to perform input adjustment;
the lamp irradiation angle and the beam angle are accurately adjusted.
2. The intelligent art gallery lighting adjustment method of claim 1, wherein the method for collecting data on the size, position and content of the painting comprises:
identifying data for at least one picture at a time;
encoding the data;
respectively transmitting the data to a lamp control module corresponding to each picture;
the lamp control module decodes.
3. The intelligent art gallery lighting adjustment method of claim 2, wherein the method for analyzing the drawing size, position and content data to obtain the lamp irradiation angle and the beam angle includes:
determining the image edge according to the data of the drawing size, the position and the content, and finding the poles of the upper edge, the lower edge, the left edge and the right edge;
making horizontal lines and vertical lines to position the boundary of the graph;
calculating the size of the image according to the boundary positioning, wherein x is the size in the horizontal direction, and y is the size in the vertical direction;
and determining the size of the beam angle of the lamp and the lamp adjusting angle.
4. The intelligent art gallery lighting adjustment method of claim 3, wherein the beam angle of the lamp and the lamp adjustment angle are determined according to the following formula;
in the formula, theta represents the size of a beam angle; alpha is the angle of lamp adjustment; l is the distance between the lamp and the wall, and the unit is m; h is the height from the lamp to the ground, and the unit is m; y is the vertical dimension of the drawing in m.
5. The intelligent art gallery lighting adjustment method of claim 3, wherein the method for determining the edges of the image and finding the poles of the upper, lower, left and right edges according to the drawing size, position and content data includes:
carrying out gray level processing on the color image, and adopting Lab color space segmentation;
edge detection is performed by a Sobel operator.
6. The intelligent art gallery lighting adjustment method of claim 1, wherein after collecting the data of the size, position and content of the painting, the method further comprises the following steps:
extracting the characteristics of the painting image;
summarizing the types of the paintings, and correspondingly dividing the paintings into paintings which are particularly sensitive to light, paintings which are sensitive to light and paintings which are not sensitive to light;
and (5) making a binary matrix characteristic template as a database.
7. The intelligent art gallery lighting adjustment method of any one of claims 1 to 6, wherein the method for extracting the feature values of the painting images, comparing the feature value templates in the database and determining the painting types comprises:
carrying out image subtraction on a feature template matrix M of the painting to be identified and a feature template matrix N in a database, and recording a difference value subtracted from each feature template pixel, and carrying out modulo re-summation on a value X; the formula for obtaining the value X is:
comparing the X with a set threshold value Y, if the X is less than or equal to Y, identifying the picture of the characteristic template as a result, and calling a color temperature value corresponding to the picture type;
if X is greater than Y, re-extracting the characteristic value matrix M to obtain a new matrix template M1, and then performing formula calculation with a characteristic template matrix N in the database to obtain X1;
comparing X1 with Y for 100 times, if X is>If Y is still true, the feature template matrix N in another database is transformedn(ii) a If no difference smaller than the set threshold is found, it is not possible to identify what type the drawing belongs to.
8. The utility model provides an art gallery light intelligent regulation device, its characterized in that, art gallery light intelligent regulation device includes:
the acquisition unit is used for acquiring data of the size, the position and the content of the painting; the system is also used for collecting illumination data, color temperature data and environment brightness data;
the control unit is used for analyzing the data of the size, the position and the content to obtain a lamp irradiation angle and a beam angle; the method is also used for extracting the characteristic value of the drawing image, comparing the characteristic value templates in the database and determining the drawing type; extracting the characteristics of the painting image; summarizing the types of the paintings, and correspondingly dividing the paintings into paintings which are particularly sensitive to light, paintings which are sensitive to light and paintings which are not sensitive to light; making a binary matrix characteristic template as a database;
the intelligent lighting adjusting unit is used for adjusting the irradiation angle and the beam angle of the lamp; the preset lighting mode parameters corresponding to the categories are called for input adjustment; the device is also used for accurately adjusting the irradiation angle and the beam angle of the lamp, and further accurately adjusting the illumination and the color temperature value of the lamp light.
9. The intelligent art gallery lighting adjustment device of claim 8, wherein the control unit includes: the picture drawing identification module, the data processing module and the image processing module;
the drawing identification module is used for identifying data of at least one drawing at a time;
the data processing module is used for analyzing the data of the size, the position and the content to obtain a lamp irradiation angle and a beam angle; encoding the data; respectively transmitting the data to a lamp control module corresponding to each picture; determining the image edge according to the data of the drawing size, the position and the content, and finding the poles of the upper edge, the lower edge, the left edge and the right edge; carrying out gray level processing on the color image, and adopting Lab color space segmentation; carrying out edge detection through a Sobel operator; making horizontal lines and vertical lines to position the boundary of the graph; calculating the size of the image according to the boundary positioning, wherein x is the size in the horizontal direction, and y is the size in the vertical direction; determining the size of a beam angle of a lamp and a lamp adjusting angle;
the image processing module is used for extracting the characteristic value of the painting image, comparing the standard values of the illumination and the color temperature of the painting and determining the painting category; the image edge is determined by adopting an edge detection Sobel operator according to the obtained image information, and poles of upper, lower, left and right edges are found to be used as horizontal lines and vertical lines for carrying out boundary positioning of the graph;
light intelligent regulation unit includes: the device comprises an illumination module, a color temperature module, an ambient brightness module and an adjusting module;
the illumination module is used for judging whether the average illumination of the painting is within a standard range or not according to the collected light environment illumination value of the painting;
the color temperature module is used for judging whether the color temperature is in a standard range or not through the collected light environment color temperature of the painting;
the environment brightness module is used for judging whether the environment contrast is in a standard range or not according to the collected painting and the ambient light environment brightness and the ratio of the painting brightness value to the background brightness value;
the adjusting module is used for adjusting the irradiation angle and the beam angle of the lamp; the preset lighting mode parameters corresponding to the categories are called for input adjustment; the device is also used for accurately adjusting the irradiation angle and the beam angle of the lamp, and further accurately adjusting the illumination and the color temperature value of the lamp light;
the acquisition unit also comprises an illumination data acquisition module, a color temperature data acquisition module and an environment brightness data acquisition module;
the illumination data acquisition module is used for acquiring a luminous environment illumination value of the picture;
the color temperature data acquisition module is used for acquiring the color temperature value of the light environment of the painting;
and the environment brightness data acquisition module is used for acquiring the light environment brightness values of the painting and the surroundings.
10. An intelligent art gallery light adjusting system, which is used for executing the intelligent art gallery light adjusting method as claimed in any one of claims 1 to 7.
11. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the intelligent art gallery light adjustment method of any one of claims 1-7.
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