CN110967112B - Illumination spectrum acquisition method, device and equipment for color blindness - Google Patents
Illumination spectrum acquisition method, device and equipment for color blindness Download PDFInfo
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- 238000005286 illumination Methods 0.000 title claims abstract description 145
- 238000001228 spectrum Methods 0.000 title claims abstract description 124
- 238000000034 method Methods 0.000 title claims abstract description 32
- 208000006992 Color Vision Defects Diseases 0.000 title claims abstract description 25
- 201000007254 color blindness Diseases 0.000 title claims abstract description 25
- 238000011156 evaluation Methods 0.000 claims abstract description 48
- 238000002310 reflectometry Methods 0.000 claims abstract description 39
- 230000006870 function Effects 0.000 claims description 54
- 238000004422 calculation algorithm Methods 0.000 claims description 15
- 238000004364 calculation method Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 6
- 230000002068 genetic effect Effects 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 201000000761 achromatopsia Diseases 0.000 description 4
- 239000003086 colorant Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000003595 spectral effect Effects 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 206010008795 Chromatopsia Diseases 0.000 description 2
- 206010010356 Congenital anomaly Diseases 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 108090000623 proteins and genes Proteins 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000004456 color vision Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
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- 239000000758 substrate Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
Abstract
The application relates to a lighting spectrum acquisition method, a device and equipment for color blindness, wherein the method comprises the following steps: firstly, acquiring the surface reflectivity of a target object; then obtaining a special illumination tristimulus value of the target object under a preset illumination spectrum according to the surface reflectivity and the preset illumination spectrum; evaluating the special illumination tristimulus values by using a preset evaluation function to obtain an evaluation result; when the evaluation result is that a preset condition is met, outputting the preset illumination spectrum as a target spectrum; and updating the preset illumination spectrum when the evaluation result is that the preset condition is not met. Based on this, a target spectrum satisfying a preset condition can be obtained by using the evaluation function.
Description
Technical Field
The application relates to the technical field of illumination spectrums, in particular to a method, a device and equipment for acquiring an illumination spectrum facing color blindness.
Background
Congenital dyschromatopsia is commonly referred to as achromatopsia, where a person with achromatopsia cannot distinguish between various colors or certain colors in the natural spectrum. Since the color of an object depends on the reflectivity and illuminance of the object, and color blindness can only distinguish a specific color pair, the color presented by the object can be recognized by a color blinded patient under a proper spectrum, but there is no method for acquiring the proper spectrum at present.
Disclosure of Invention
In order to overcome the problems in the related art at least to a certain extent, the application provides a lighting spectrum acquisition method, device and equipment facing color blindness.
According to a first aspect of the present application, there is provided a color-blind oriented illumination spectrum acquisition method, including:
acquiring the surface reflectivity of a target object;
obtaining a special illumination tristimulus value of the target object under a preset illumination spectrum according to the surface reflectivity and the preset illumination spectrum;
obtaining a function value of a preset fitness function according to the special illumination tristimulus value;
when the function value of the preset fitness function is larger than a preset value, outputting the preset illumination spectrum as a target spectrum;
otherwise, updating the preset illumination spectrum.
Optionally, the acquiring the surface reflectivity of the target object includes:
acquiring a linear RGB value of a target object;
converting the linear RGB value into a common illumination tristimulus value of the target object under a common illumination spectrum;
and obtaining the surface reflectivity according to the common illumination tristimulus value and a preset calculation formula of the surface reflectivity.
Optionally, the preset algorithm is a genetic algorithm.
According to a second aspect of the present application, there is provided a color-blind-oriented illumination spectrum acquisition apparatus, comprising:
the acquisition module is used for acquiring the surface reflectivity of the target object;
the processing module is used for obtaining a special illumination tristimulus value of the target object under a preset illumination spectrum according to the surface reflectivity and the preset illumination spectrum;
the evaluation module is used for evaluating the special illumination tristimulus values by utilizing a preset evaluation function to obtain an evaluation result;
the output module is used for outputting the preset illumination spectrum as a target spectrum when the evaluation result meets a preset condition;
and the updating module is used for updating the preset illumination spectrum when the evaluation result is that the preset condition is not met.
Optionally, the obtaining module includes:
the acquisition unit is used for acquiring linear RGB values of a target object;
the conversion unit is used for converting the linear RGB value into a common illumination tristimulus value of the target object under a common illumination spectrum;
and the first calculation unit is used for obtaining the surface reflectivity according to the common illumination tristimulus value and a preset calculation formula of the surface reflectivity.
Optionally, the evaluation module includes:
the second calculation unit is used for obtaining a function value of a preset fitness function according to the special illumination tristimulus value;
the first judging unit is used for judging whether the function value of the preset fitness function is larger than a preset value or not, and judging whether the evaluation result meets a preset condition or not;
and the second judging unit is used for judging that the evaluation result does not meet the preset condition when the function value of the preset fitness function is smaller than or equal to the preset value.
Optionally, the update module includes:
the input unit is used for inputting the preset illumination spectrum into a preset algorithm to obtain a plurality of groups of ordered illumination spectra;
and the setting unit is used for sequentially setting the front preset number groups of the illumination spectrums as the preset illumination spectrums according to the sequence.
According to a third aspect of the present application, there is provided a color-blind-oriented illumination spectrum acquisition apparatus comprising:
a processor, and a memory coupled to the processor;
the memory is configured to store a computer program for performing at least the color-blind oriented illumination spectrum acquisition method according to the first aspect of the present application;
the processor is used for calling and executing the computer program in the memory.
The technical scheme provided by the application can comprise the following beneficial effects: firstly, acquiring the surface reflectivity of a target object; then obtaining a special illumination tristimulus value of the target object under a preset illumination spectrum according to the surface reflectivity and the preset illumination spectrum; evaluating the special illumination tristimulus values by using a preset evaluation function to obtain an evaluation result; when the evaluation result is that a preset condition is met, outputting the preset illumination spectrum as a target spectrum; and updating the preset illumination spectrum when the evaluation result is that the preset condition is not met. Based on this, a target spectrum satisfying a preset condition can be obtained by using the evaluation function.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic flowchart of an illumination spectrum acquisition method facing color blindness according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of an illumination spectrum acquisition apparatus facing color blindness according to a second embodiment of the present application.
Fig. 3 is a schematic structural diagram of an illumination spectrum acquisition apparatus facing color blindness according to a third embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Congenital dyschromatopsia is commonly referred to as achromatopsia, where a person with achromatopsia cannot distinguish between various colors or certain colors in the natural spectrum. Since the color of an object depends on the reflectivity and illuminance of the object, and color blindness can only distinguish a specific color pair, the color presented by the object can be recognized by a color blinded patient under a proper spectrum, but there is no method for acquiring the proper spectrum at present.
Based on the above technical problem, the present application provides a method, an apparatus and a device for acquiring an illumination spectrum facing color blindness, which are described below by way of example.
Example one
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a color-blind-oriented illumination spectrum obtaining method according to an embodiment of the present application.
As shown in fig. 1, the method for acquiring an illumination spectrum facing color blindness provided by this embodiment includes:
and step S101, acquiring the surface reflectivity of the target object.
Firstly, acquiring a linear RGB value of a target object, and then converting the linear RGB value into a common illumination tristimulus value of the target object under a common illumination spectrum; and obtaining the surface reflectivity according to the common illumination tristimulus value and a preset calculation formula of the surface reflectivity.
Specifically, the linear RGB values of the target object are obtained through gamma conversion, and the gamma conversion formula may refer to the following calculation formula for the R value in the RGB values:
wherein the content of the first and second substances,
R′8bitto represent the non-linear R value. G'8bit、B′8bitMethod for calculating of (1) and R'8bitThe same is true. R(1,N)Middle (1) denotes illumination 1, i.e., natural illumination; n indicates normal color vision.
Converting the linear RGB values into tristimulus values may refer to the following equation:
wherein the content of the first and second substances,
the three-stimulus value is set as the tri-stimulus value,
linear RGB values.
In addition, the predetermined calculation formula may be
Wherein the content of the first and second substances,
denotes the surface reflectance, rk(λ) is the kth substrate obtained from the set of surface reflections of a number of objects, akIs a weight used to represent the color of the object. In addition, r is0(λ) represents the average component of the target object, r1(λ) represents a first component of the target object, r2(lambda) represents a second component of the target object, r3(λ) represents a third component of the target object.
akIs calculated by the formula
And
and S102, obtaining a special illumination tristimulus value of the target object under a preset illumination spectrum according to the surface reflectivity and the preset illumination spectrum.
It should be noted that, since the tristimulus values can be expressed as
Wherein
S(l)(lambda) represents the spectrum of the illumination l, i.e. the ordinary illumination spectrum,
and
is a color matching function.
Therefore, the special illumination tristimulus value can be calculated according to the formula.
And S103, evaluating the special illumination tristimulus values by utilizing a preset evaluation function to obtain an evaluation result.
Specifically, a function value of a preset fitness function needs to be obtained according to the special illumination tristimulus value; when the function value of the preset fitness function is larger than a preset value, the evaluation result is that a preset condition is met; otherwise, the evaluation result is that the preset condition is not met.
Wherein the preset fitness function may be
Wherein U is(K)Is a set of ith pixels, wherein
Greater than δ.<v(1,N)>And<v(2,K)>to satisfy i ∈ U(K)Is/are as follows
And
average value of (a).
It should be noted that the preset fitness function is a fitness function of K-type color blindness, and fitness functions of other types of color blindness may refer to the prior art, which is not described herein again.
And step S104, outputting the preset illumination spectrum as a target spectrum when the evaluation result is that a preset condition is met.
And step S105, updating the preset illumination spectrum when the evaluation result is that the preset condition is not met.
Specifically, step S105 may include inputting the preset illumination spectrum into a preset algorithm to obtain a plurality of groups of ordered illumination spectra; and sequentially setting the front preset number of groups of the illumination spectrums as the preset illumination spectrums according to the sequence.
The preset algorithm may be a genetic algorithm, and specifically, the process of the genetic algorithm is as follows:
(1) and generating an initial population.
(2) And performing genetic operations such as uniform crossing, inversion, translocation and mutation.
(3) Based on fitness function F(K)Evaluation was carried out.
(4) And (4) termination judgment: if F(K)And if the best individual exceeds tau, selecting the best individual as the best solution, and terminating the program. Otherwise, go to step (2).
Wherein the correlation is defined as follows: track: a wavelength; gene: relative spectral radiant power; gene length: 81 (relative spectral radiant power values are allocated between wavelengths 380nm and 780nm at 5nm intervals); genotype (phenotype): relative spectral radiant power distribution (illuminance).
The method of the embodiment firstly obtains the surface reflectivity of the target object; then obtaining a special illumination tristimulus value of the target object under a preset illumination spectrum according to the surface reflectivity and the preset illumination spectrum; evaluating the special illumination tristimulus values by using a preset evaluation function to obtain an evaluation result; when the evaluation result is that a preset condition is met, outputting the preset illumination spectrum as a target spectrum; and updating the preset illumination spectrum when the evaluation result is that the preset condition is not met. Based on this, a target spectrum satisfying a preset condition can be obtained by using the evaluation function.
Example two
Referring to fig. 2, fig. 2 is a schematic structural diagram of an illumination spectrum obtaining apparatus for color blindness according to a second embodiment of the present application.
As shown in fig. 2, the illumination spectrum acquiring apparatus for color blindness provided by the present embodiment includes:
an obtaining module 21, configured to obtain a surface reflectivity of a target object;
the processing module 22 is configured to obtain a special illumination tristimulus value of the target object under a preset illumination spectrum according to the surface reflectivity and the preset illumination spectrum;
the evaluation module 23 is configured to evaluate the special illumination tristimulus value by using a preset evaluation function to obtain an evaluation result;
the output module 24 is configured to output the preset illumination spectrum as a target spectrum when the evaluation result is that a preset condition is met;
and an updating module 25, configured to update the preset illumination spectrum when the evaluation result is that a preset condition is not satisfied.
Further, the obtaining module comprises:
the acquisition unit is used for acquiring a linear RGB value of a target object;
the conversion unit is used for converting the linear RGB value into a common illumination tristimulus value of the target object under a common illumination spectrum;
and the first calculation unit is used for obtaining the surface reflectivity according to the common illumination tristimulus value and a preset calculation formula of the surface reflectivity.
Further, the evaluation module comprises:
the second calculation unit is used for obtaining a function value of a preset fitness function according to the special illumination tristimulus value;
the first judging unit is used for judging whether the function value of the preset fitness function is larger than a preset value or not, and judging whether the evaluation result meets a preset condition or not;
and the second judging unit is used for judging that the evaluation result does not meet the preset condition when the function value of the preset fitness function is smaller than or equal to the preset value.
Further, the update module includes:
the input unit is used for inputting the preset illumination spectrum into a preset algorithm to obtain a plurality of groups of ordered illumination spectra;
and the setting unit is used for sequentially setting the front preset number of groups of the illumination spectrums as the preset illumination spectrums according to the sequence.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of an illumination spectrum acquiring apparatus for color blindness according to a third embodiment of the present application.
As shown in fig. 3, the illumination spectrum acquiring apparatus for color blindness provided by the present embodiment includes:
a processor 61, and a memory 62 connected to the processor;
the memory is configured to store a computer program for performing at least the following color-blind oriented illumination spectrum acquisition method:
acquiring the surface reflectivity of a target object;
obtaining a special illumination tristimulus value of the target object under a preset illumination spectrum according to the surface reflectivity and the preset illumination spectrum;
evaluating the special illumination tristimulus values by using a preset evaluation function to obtain an evaluation result;
when the evaluation result is that a preset condition is met, outputting the preset illumination spectrum as a target spectrum;
and updating the preset illumination spectrum when the evaluation result is that the preset condition is not met.
Optionally, the acquiring the surface reflectivity of the target object includes:
acquiring a linear RGB value of a target object;
converting the linear RGB value into a common illumination tristimulus value of the target object under a common illumination spectrum;
and obtaining the surface reflectivity according to the common illumination tristimulus values and a preset calculation formula of the surface reflectivity.
Optionally, the evaluating the special illumination tristimulus value by using a preset evaluation function to obtain an evaluation result, including:
obtaining a function value of a preset fitness function according to the special illumination tristimulus value;
when the function value of the preset fitness function is larger than a preset value, the evaluation result is that a preset condition is met;
otherwise, the evaluation result is that the preset condition is not met.
Optionally, when the evaluation result is that a preset condition is not satisfied, updating the preset illumination spectrum includes:
inputting the preset illumination spectrum into a preset algorithm to obtain a plurality of groups of illumination spectra with sequences;
and sequentially setting the front preset number of groups of the illumination spectrums as the preset illumination spectrums according to the sequence.
Optionally, the preset algorithm is a genetic algorithm.
The processor is used for calling and executing the computer program in the memory.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar contents in other embodiments may be referred to for the contents which are not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (8)
1. An illumination spectrum acquisition method facing color blindness, comprising:
acquiring the surface reflectivity of a target object;
obtaining a special illumination tristimulus value of the target object under a preset illumination spectrum according to the surface reflectivity and the preset illumination spectrum;
obtaining a function value of a preset fitness function according to the special illumination tristimulus value;
when the function value of the preset fitness function is larger than a preset value, outputting the preset illumination spectrum as a target spectrum;
otherwise, updating the preset illumination spectrum.
2. The color-blind-oriented illumination spectrum acquisition method according to claim 1, wherein the acquiring the surface reflectivity of the target object comprises:
acquiring a linear RGB value of a target object;
converting the linear RGB value into a common illumination tristimulus value of the target object under a common illumination spectrum;
and obtaining the surface reflectivity according to the common illumination tristimulus value and a preset calculation formula of the surface reflectivity.
3. The color-blind-oriented illumination spectrum acquisition method according to claim 1, wherein when the function value of the preset fitness function is less than or equal to a preset value, updating the preset illumination spectrum comprises:
inputting the preset illumination spectrum into a preset algorithm to obtain a plurality of groups of illumination spectra with sequences;
and sequentially setting the front preset number of groups of the illumination spectrums as the preset illumination spectrums according to the sequence.
4. The color-blind oriented illumination spectrum acquisition method according to claim 3, wherein the preset algorithm is a genetic algorithm.
5. An illumination spectrum acquisition apparatus for color blindness, comprising:
the acquisition module is used for acquiring the surface reflectivity of the target object;
the processing module is used for obtaining a special illumination tristimulus value of the target object under a preset illumination spectrum according to the surface reflectivity and the preset illumination spectrum;
the evaluation module is used for obtaining a function value of a preset fitness function according to the special illumination tristimulus value;
the output module is used for outputting the preset illumination spectrum as a target spectrum when the function value of the preset fitness function is larger than a preset value;
and the updating module is used for updating the preset illumination spectrum when the function value of the preset fitness function is less than or equal to the preset value.
6. The color-blind-oriented illumination spectrum acquisition device according to claim 5, wherein the acquisition module comprises:
the acquisition unit is used for acquiring linear RGB values of a target object;
the conversion unit is used for converting the linear RGB value into a common illumination tristimulus value of the target object under a common illumination spectrum;
and the first calculation unit is used for obtaining the surface reflectivity according to the common illumination tristimulus value and a preset calculation formula of the surface reflectivity.
7. The color-blind-oriented illumination spectrum acquisition apparatus according to claim 5, wherein the update module comprises:
the input unit is used for inputting the preset illumination spectrum into a preset algorithm to obtain a plurality of groups of ordered illumination spectra;
and the setting unit is used for sequentially setting the front preset number of groups of the illumination spectrums as the preset illumination spectrums according to the sequence.
8. An illumination spectrum acquisition apparatus facing color blindness, comprising:
a processor, and a memory coupled to the processor;
the memory is configured to store a computer program for performing at least the color-blind oriented illumination spectrum acquisition method of any one of claims 1 to 4;
the processor is used for calling and executing the computer program in the memory.
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| CN104509106A (en) * | 2012-07-27 | 2015-04-08 | 伊斯曼柯达公司 | Observer metameric failure compensation method |
| CN107510876A (en) * | 2013-04-04 | 2017-12-26 | 瑟卡蒂安齐尔克莱特有限公司 | For providing artificially lighting method and system |
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