JP2001004449A - Spectral measurement system and its signal processing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide the spectral measurement system which is small-sized and easily used and its signal processing method. SOLUTION: The system includes a color light information extraction part 120 which extracts specific color light information from light made incident on the spectral measurement system, a photoelectric conversion part 130 which converts the color light information extracted by the color light information extraction part into an electric signal by a photoelectric converting element, a database part 160 which holds statistical feature quantities derived from spectral characteristics measured by the spectral measurement system, and a signal processing part 140 which processes the electric signal outputted from the photoelectric conversion part to estimate spectral characteristics, and the spectral characteristics are estimated from the photoelectrically converted electric signal through the signal processing of the signal processing part by using statistical feature quantities held at the database part.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

TECHNICAL FIELD The present invention relates to a spectroscopic measurement system,
And an improvement in a signal processing method thereof.

[0002]

2. Description of the Related Art Generally, a spectral radiance meter is used as an apparatus for spectrally measuring light mainly in a visible light region.

[0003] This kind of spectral radiance meter is commercially available from various manufacturers (Topcon Corporation, PhotoResearch Corporation, Minolta Corporation, etc.). Note that this spectral radiance meter is configured to obtain a spectral value by performing spectral analysis using a spectral optical system including a diffraction grating and a line sensor or a goniometer and counting the number of photons.

[0004] A multispectral image pickup device is used as a device configured so that a subject can be photographed as an image and its spectral characteristics can be acquired. About this multispectral imaging device, "2D spectroscopic analysis using digital images" (Osaka Municipal Industrial Research Institute Yoshimura
Ueda, Optronics, No. 2 (1992) pp. 76-81).

A similar multispectral image pickup device is described in "Multispectral Image Input Device Using CCD Imager" (Sato, Kawai, Tamura, Osaka University, Journal of the Institute of Image Electronics Engineers, Vol. 14, No. 2 (1985) pp. 112-120).

In this type of multispectral image pickup apparatus, an interference filter having a transmission characteristic in a range of 380 nm to 780 nm is arranged in a turret shape in front of a CCD camera, and the spectrum image is rotated while rotating the turret interference filter. Get. Then, the spectral characteristics of the subject are obtained by combining the spectral images.

[0007]

The spectral radiance meter and the multispectral image pickup device described above are structurally large-scale devices.

[0008] There are handy-type spectrophotometers and photometers, but they only support spectrometry of reflected objects and intensity measurement of light sources. Therefore, it does not correspond to the spectroscopic measurement of the luminescent material.

For this reason, when the user easily performs photometry, for example, when performing color matching between electronic information devices, using the above-described spectral radiance meter or multispectral image pickup apparatus requires preparation of the apparatus. Since it is necessary and operationally cumbersome, it has been difficult to spread it to the general public.

The present invention has been made in view of the above technical problems, and has as its object to provide a compact and easily usable spectroscopic measurement system and a signal processing method thereof.

[0011]

Means for Solving the Problems (1) The invention of a spectroscopic measuring system is a spectroscopic measuring system for performing spectroscopic measurement of light having uniform characteristics in a measuring plane, wherein light incident on the spectroscopic measuring system is provided. A color light information extraction unit for extracting predetermined color light information from the image signal; a photoelectric conversion unit for converting the color light information extracted by the color light information extraction unit into an electric signal by a photoelectric conversion element; and a spectral characteristic of an object to be measured in the spectral measurement system. A database unit that holds a statistical feature amount derived from, and a signal processing unit that performs signal processing on the electric signal output from the photoelectric conversion unit and estimates spectral characteristics, and in the signal processing in the signal processing unit, The spectral characteristic is estimated from the photoelectrically converted electric signal using the statistical characteristic amount held in the database unit.

In the invention of the spectroscopic measurement system, the reduction of the light efficiency by the optical system is eliminated as compared with the conventional spectroscopic measurement system, so that the measurement can be performed in a short time. The system can be made large enough to be built into the required equipment.

(2) The invention of a signal processing method of a spectroscopic measurement system is a signal processing method of a spectroscopic measurement system for performing spectroscopic measurement of light having uniform characteristics in a measurement plane, and is incident on the spectroscopic measurement system. Extracting predetermined color light information from light, converting the extracted color light information into an electric signal by photoelectric conversion, holding a statistical feature amount derived from a spectral characteristic of a measurement target in a spectroscopic measurement system, and in the database unit The spectral characteristics are estimated from the photoelectrically converted electric signal using the held statistical feature amount.

According to the invention of the signal processing method of the spectroscopic measurement system, since the spectral characteristic is obtained using the color light information and the statistical information obtained by the short-time exposure as compared with the conventional spectroscopic measurement system, a short time is required. High-precision spectroscopic measurement becomes possible.

[0015]

DESCRIPTION OF THE PREFERRED EMBODIMENTS <First Embodiment> FIG. 1 is a conceptual diagram showing main components of a spectroscopic measurement system as an embodiment of the present invention.

Light such as a light source, illumination light, and light reflected from an object is incident on the spectroscopic measurement system of the present invention, and the color light information extraction unit 120 extracts the color light information of the incident light.
Each color light information is converted into an electric signal by the photoelectric conversion unit 130, and the electric signal is processed by the signal processing unit 140 to estimate the spectral characteristics of the incident light.

In the signal processing unit 140, the database unit 1
The spectral characteristics are determined using the data described later held in 60. The operation unit 110 sets the type of the filter set inserted into the color light information extraction unit 120 and the purpose of measurement by external input, and the setting is transmitted to the database unit 160 by the system setting unit 150. The database section 160 will be described later in detail.

The measurement results can be converted into various characteristic quantities such as spectrum data, tristimulus values, L ^* a ^* b ^* , L ^* u ^* v ^* , color temperature and output in the same manner as in the conventional measurement apparatus. And can be used in various applications that require measured values.

The color light information extraction section 120 in FIG. 1 is constituted by a transmission type or reflection type filter set, and FIG. 2 shows an example of a method of configuring the filter.
Here, the transmission filter set is manufactured by arranging materials that transmit different light components, such as a gelatin filter and a reversal film, in a predetermined order as shown in FIGS. It is to be noted that the hatched portion in FIG. 2 schematically shows that the material transmits various light components.

The reflection type filter set is manufactured by arranging reflection type color patches, colored paper, and the like on a mount or a support in a predetermined order. In addition, it is desirable that the filter characteristics of the color light information extraction unit 120 include a filter whose color light information amount greatly varies depending on the type of the measurement target.

For example, when measuring illumination light, by including a filter set having a relatively high transmittance characteristic or reflectance characteristic in a band where the emission line spectrum of the fluorescent lamp exists, the fluorescent lamp and other illumination light can be measured. It is expected that the ability to judge is improved.

In order to maintain the spectrometry capability, it is desirable to be able to change the type of filter depending on the object to be measured. For example, when measuring illumination light,
A filter set having a spectral characteristic that is relatively uniform in the 仝 wavelength band is used, and a filter set that focuses on the measurement of the band is used for an object where characteristic characteristics are concentrated in a specific wavelength band. In addition, different filter sets are used depending on the measurement purpose, such as updating system characteristics.

The photoelectric conversion unit 130 shown in FIG. 1 includes an optical system such as a lens and a photoelectric conversion element. Photomultipliers, line sensors, etc. can be used for the photoelectric conversion element, but the device can be downsized, and a small solid-state imaging device such as a CCD is used in terms of stability and the amount of information in a single shot. It is desirable to do. The small solid-state imaging device does not necessarily need to be of a type having a lattice color filter or the like on the surface.
In some cases, more signals can be obtained for one set of color light information, which effectively affects spectral estimation.
It is desirable to use a CD or the like.

Next, the configuration of the signal processing unit 140 and the database unit 160 will be described with reference to FIG. First, the signal processing unit 140 includes an electric signal value preprocessing unit 141, a data operation unit 142, a matrix holding unit 143, and a matrix operation unit 1.
44, an operation control unit 145, and an operation result holding unit 146.

The database unit 160 includes a color light information extraction unit data holding unit 161 that holds a plurality of spectral data of the filter set, a photoelectric conversion unit data holding unit 162 that holds the spectral sensitivity characteristics of the photoelectric conversion unit 130, and the like. The measurement target spectral feature storage unit 163 stores statistical feature data such as principal components and peak positions.

The system setting section 150 is to set the type of the filter set inserted into the color light information extracting section 120, the purpose of measurement, and the like by external input from the operation section 110. The interface of the operation unit 110 may be a touch panel, a keyboard, or the like.

In the above configuration, the spectral data of the color light information extraction unit 120 and the photoelectric conversion unit 130 corresponding to the information set by the system setting unit 150 are stored in the color light information extraction unit data in the database unit 160. From the storage unit and the photoelectric conversion unit data storage unit 162 to the matrix operation unit 1
It is read to 44.

Then, the matrix calculation section 144 calculates a system matrix from the read out spectral data, and the system matrix is temporarily stored in the matrix storage section 143.

In FIG. 3, for clarification of the role, the color light information extraction unit data holding unit 161 and the photoelectric conversion unit data holding unit 162 are separately written. May be calculated for each filter set, and this matrix may be stored in the database unit 160.

Here, an example of the system matrix will be described. The spectral characteristics of the filters of the color light information extraction unit 120 read out from the color light information extraction unit data holding unit 161 f _t
(Λ). Here, λ is a wavelength (for example, λ =
380 nm, 390 nm,..., 780 nm), t is a suffix indicating the type of filter (t = 1,..., P, p is the total number of filters), and the spectral sensitivity characteristic of the photoelectric conversion unit 130 is C ( λ), the system matrix held by the matrix holding unit 143 can be expressed by the equation shown in FIG.

The electric signal value from the photoelectric conversion unit 130 having the above-described spectral sensitivity characteristics first enters the electric signal value preprocessing unit 141, and undergoes processing as shown in FIG. First,
The region corresponding to each filter of the electric signal is divided (FIG. 5S
After 1), the signal values included therein are extracted and averaged (S2 in FIG. 5) to obtain a representative signal value for each filter.

At this time, it is necessary to associate each filter with the corresponding representative signal value by using a method such as a common tag. When estimating the spectral characteristics of the measurement target, first, as a first step, an operation of determining the type of the measurement target from the representative signal value for each filter extracted by the electric signal value preprocessing unit 141 is performed. This operation is not always necessary by allowing the system setting unit 150 to specify the measuring object. However, for example, when measuring an object in which lights having different types of statistical characteristics are mixed, this determination is performed. The work is effective.

As a specific method, the most dominant statistical feature amounts of various measurement objects included in the measurement object spectral feature amount storage unit 163 in the database unit 160 of FIG. A pseudo data value is generated using the system matrix described above, and the representative signal value is correlated with the pseudo data value or a value obtained by normalizing the pseudo data value. It is assumed that the category including is the type of the measurement target.

Next, as a second stage, the statistical feature amounts included in the category of the measurement target specified in the first stage described above are stored in the spectral feature storage unit 16 for the measurement target in the database.
3 and first, a matrix operation unit 144 creates a system matrix to which the feature amount is added.

For example, the above-mentioned spectral feature storage unit to be measured
The characteristic amount read from 163 is E _i(Λ). This
Here, i is a suffix representing the type of feature quantity, and i =
1,..., M, and m are the number of spectral feature amounts. At this time,
The system matrix to which the spectral feature has been added is shown in FIG.
Is represented by

The matrix M thus obtained is
Performing a matrix operation using the representative signal values
Calculate the weighting coefficient for the feature value and calculate the spectral characteristics of the surrounding illumination light.
Get the gender value. As an example, this matrix operation method
By applying the similar inverse matrix method, the weight
The number is an image value vector g composed of the representative signal values. _t
= [G₁, g_Two, ..., g_p] And the matrix M,
This is represented by the equation shown in FIG.

In this embodiment, the pseudo inverse matrix method is used.
Applied, but other solutions to the inverse problem apply.
Both are possible. The e thus obtained₁, e_Two, ...,
e_mAnd the above-mentioned spectral feature E corresponding to_iLinearly combine (λ)
Thus, the spectral characteristics of the target are estimated. And gain
The obtained spectral characteristic value is stored in the calculation result holding unit 146,
Tristimulus value or L as needed^*a^*b ^*After calculating the
It is output as measurement data to the outside.

<Second Embodiment: Updating the System Matrix> The data of the system matrix in the signal processing unit 140 shown in the above-described first embodiment differs from the actual data value due to a change with time. Is also expected to occur.

Therefore, a signal processing method for updating the data of the system matrix and the like using the spectroscopic measurement system according to the embodiment of the present invention without requiring a conventional large measuring instrument will be described.

In this signal processing method, it is necessary to prepare a light source or illumination light whose characteristics are substantially fixed and which can be generally obtained relatively easily. Therefore, light sources that are relatively easily available, such as incandescent lamps, fluorescent lamps, and three primary color light sources emitted by phosphors such as televisions and computer displays, are used. The spectral data of these light sources is recorded in the database unit 160.

The procedure for updating the matrix in this case is as follows. Under a filter set corresponding to a certain system matrix, electric signal values of a plurality of light sources are obtained.

An electric signal value considered to be obtained under the current system matrix is calculated using the light source spectral data stored in the database unit 160. Take the difference between the electric signal values obtained with the above and
An electric signal value corresponding to a changed portion of the system matrix is obtained.

A change in the system matrix is estimated by matrix calculation of the electric signal values obtained as described above and the spectral data of the light source. The matrix is updated by adding the changed part of the system matrix calculated as described above to the current system matrix.

By doing so, the signal processing unit 140
Can be eliminated by the signal processing of the present embodiment without using a large-scale measuring instrument.

<Third Embodiment: Correction of Characteristic Fluctuation in Photoelectric Conversion Element Surface> Even though light with uniform characteristics and luminance is incident on the photoelectric conversion element surface of the photoelectric conversion unit 130, In some cases, the same electric signal value cannot be obtained between the pixels in the element. Since such blurring between pixels affects the final estimated value, it is desirable to correct the blurring as early as possible.

Therefore, light having uniform characteristics and brightness is incident on the photoelectric conversion element surface, and the distribution of the obtained electric signal values is held in the database unit 160 as a characteristic variation within the element surface.

At the time of normal measurement, the data is read from the database unit 160, and the signal value is corrected by arithmetically processing the data and the electric signal value. As a result, it is possible to eliminate the influence of the variation in the signal value between the pixels.

<Fourth Embodiment: System Implementation Method> The above-described spectroscopic measurement system will be described as an example with reference to FIG. FIG. 8A shows the color light information extraction unit 12.
0 is a system using a transmission type filter 122,
The light beam that has passed through the transmission filter 122 is focused by the optical system 131 and forms an image on the photoelectric conversion element 132.

FIG. 8B shows a color light information extraction unit 120.
This is a system using a reflection type filter 123. The light beam reflected by the reflection type filter 123 is converged by an optical system 131 and forms an image on a photoelectric conversion element 132.

FIG. 8C shows the color light information extraction unit 120.
This is a system using a reflection type filter 123. A light beam that has once passed through the prism 131a and has been reflected by the reflection type filter 123 is reflected by the prism 131a, then focused by the optical system 131b, and coupled to the photoelectric conversion element 132. Image.

These systems can be miniaturized, and can be incorporated in various devices that require spectroscopic measurement by miniaturization. For example, in the world of color management, it is possible to measure illumination light and an object for correcting system characteristics by incorporating this system into a printer or display. It can also be applied as a handy type spectrometer for plant leaves and human skin.

In these spectroscopic measurement systems, the signal processing unit 140 described above may produce a signal processing unit in a form specialized for the system, or a unit for photoelectrically converting light into a unit for use in a personal computer or the like. The connection may be made using an interface or the like, and the signal processing may be performed by processing software on a personal computer.

Description of the above signal processing method and FIG.
Here, for convenience of explanation, the matrix operation unit 144, the data operation unit 142, the operation control unit 145, the matrix holding unit 1
43, electric signal value preprocessing unit 141, operation result holding unit 14
6. Although the system setting unit 150 and the database unit 160 are described separately, the configuration can be changed depending on the hardware actually used.

[0054]

As described in detail above, according to each invention described in this specification, the following effects can be obtained.

(1) According to the first aspect of the present invention, the reduction of the light efficiency by the optical system is eliminated as compared with the conventional spectroscopic measurement system, so that the measurement can be performed in a short time and the system is not complicated. Therefore, it is possible to provide a system having a size large enough to be incorporated in a device requiring a spectrometry function.

(2) According to the second aspect of the present invention, in the signal processing in the signal processing unit, the spectral characteristics are estimated from the photoelectrically converted electric signal using the statistical feature amount held in the database unit. Therefore, the spectral characteristics of the measurement target can be obtained without using a diffraction grating or a prism.

(3) According to the third aspect of the present invention, by extracting the color light information by the transmission type optical material or the reflection type optical material, the weak color light information can be extracted even in a short time. This makes it possible to estimate spectral characteristics with high accuracy.

(4) According to the fourth aspect of the present invention, the color light information extracting section includes a transmission type optical material or a reflection type optical material which can determine the type of the measurement target or estimate the spectral characteristics. Can be improved, the statistical feature amount used in spectral estimation can be further limited, and the estimation accuracy of spectral characteristics can be improved.

(5) According to the fifth aspect of the present invention, the color light information extracting section is configured so that the optical material can be exchanged according to the measurement object and the purpose, so that the color light information suitable for the measurement object can be obtained. it can.

(6) According to the sixth aspect of the present invention, the size of the system can be reduced by using the solid-state imaging device.
Further, it is also possible to obtain a relatively large amount of color light information with a short exposure.

(7) According to the seventh aspect of the present invention, since the object to be measured includes a light source, an illuminating light, a color chart, a paint, and a dye, it is possible to measure these spectral characteristics from the color light information in a short time. it can.

(8) According to the eighth aspect of the invention, the database stores statistical features derived from the spectral characteristics of the object to be measured, including the light source, illumination light, color chart, paint, and dye. From information, spectral characteristics can be estimated with high accuracy by a linear sum of these feature amounts.

(9) According to the ninth aspect of the present invention, the database section includes a statistical feature derived from the spectral characteristics of the measurement object including the light source, the illumination light, the color chart, the paint, and the dye, and the color light information extraction section. Since the data related to the spectral characteristics of the transmission type optical material or the reflection type optical material and the data related to the spectral characteristics of the photoelectric conversion unit are included, the type of the measurement target is output from the photoelectric conversion unit. It can be specified by arithmetic processing with an electric signal value, and the spectral characteristic can be estimated from the color light information with high accuracy by using the statistical feature included in the category.

(10) According to the tenth aspect of the present invention, since the data contained in the database section is classified according to the type of data and the purpose of use, the data classified by category can be easily taken out. Can be.

(11) According to the eleventh aspect of the present invention, since a large-scale measuring device is not required and general spectroscopic measurement can be easily performed, spectroscopic measurement in color management including color matching between photometric or heterogeneous devices and color matching of ink. It can be used as a measuring means.

(12) According to the twelfth aspect of the present invention, by incorporating the present system into another electronic information device, a large-scale measuring device is not required, and a general spectroscopic measurement can be easily performed. As a result, it can be used as a spectral measurement unit in color management including photometry, color matching between different types of devices, and color matching of ink.

(13) According to the thirteenth aspect,
Since the spectral characteristic is estimated from the electric signal value of the color light information using the statistical feature amount, highly accurate measurement can be performed in a short time. (14) In the invention according to claim 14, since the type of the measurement target is specified from the electric signal value obtained by the photoelectric conversion,
By narrowing down the measurement targets, the spectral characteristics can be estimated with relatively high accuracy even from a small amount of data.

(15) In the invention according to the fifteenth aspect, after the type of the object to be measured is specified, the electrical characteristics obtained by photoelectric conversion using the data on the statistical characteristic amount or the spectral characteristic included in the specified type category. Since the spectral characteristics of the measurement target are estimated from the signal values, it is possible to estimate the spectral characteristics with relatively high accuracy by using a small amount of statistical feature amounts and spectral characteristic data by narrowing down the measurement targets.

(16) According to the sixteenth aspect of the present invention, the data relating to the spectral characteristics of the transmissive optical material or the reflective optical material and the data relating to the spectral characteristics of the photoelectric conversion unit in extracting the color light information are derived. Since the matrix as the statistical feature quantity to be updated is updated, spectral estimation corresponding to the temporal change of the system can be performed.

(17) According to the seventeenth aspect of the present invention, the spectral characteristic is estimated after correcting the variation in the luminance characteristic in the photoelectric conversion element surface at the time of photoelectric conversion, so that the estimation error due to the difference in the image position is suppressed. be able to.

[Brief description of the drawings]

FIG. 1 is a configuration diagram illustrating a configuration of a spectroscopic measurement system according to an embodiment of the present invention.

FIG. 2 is an explanatory diagram illustrating an example of a configuration of a filter of the spectroscopic measurement system according to the embodiment of the present invention.

FIG. 3 is a configuration diagram showing a configuration of a main part of the spectroscopic measurement system according to the embodiment of the present invention.

FIG. 4 is an explanatory diagram showing an example of a matrix of the spectroscopic measurement system according to the embodiment of the present invention.

FIG. 5 is an explanatory diagram illustrating a state of processing of an electric signal value preprocessing unit of the spectroscopic measurement system according to the embodiment of the present invention.

FIG. 6 is an explanatory diagram showing an example of a matrix of the spectroscopic measurement system according to the embodiment of the present invention.

FIG. 7 is an explanatory diagram showing a signal processing method of the spectroscopic measurement system according to the embodiment of the present invention.

FIG. 8 is a configuration diagram showing a configuration of a main part of the spectroscopic measurement system according to the embodiment of the present invention.

[Explanation of symbols]

 Reference Signs List 100 spectrometry system 110 operation unit 120 color light information extraction unit 130 photoelectric conversion unit 140 signal processing unit 150 system setting unit 160 database unit

Claims (17)

[Claims] 1. A spectroscopic measurement system for performing spectroscopic measurement of light having uniform characteristics in a measurement plane, comprising: a color light information extraction unit that extracts predetermined color light information from light incident on the spectroscopic measurement system; A photoelectric conversion unit that converts the color light information extracted by the color light information extraction unit into an electric signal by a photoelectric conversion element, a database unit that holds a statistical feature amount derived from a spectral characteristic of a measurement target in the spectroscopic measurement system, A signal processing unit that performs signal processing on the electric signal output from the photoelectric conversion unit and estimates spectral characteristics. 2. The signal processing in the signal processing unit, wherein spectral characteristics are estimated from the photoelectrically converted electric signal using a statistical feature stored in the database unit. 2. The spectroscopic measurement system according to 1. 3. The spectroscopic measurement system according to claim 1, wherein the color light information extracting unit is configured by a transmission type optical material or a reflection type optical material. 4. The apparatus according to claim 1, wherein the color light information extraction unit includes the transmission type optical material or the reflection type optical material capable of determining a type of a measurement target or estimating a spectral characteristic. Spectrometry system. 5. The spectroscopic measurement system according to claim 3, wherein the color light information extracting unit is configured to be able to exchange the optical material according to a measurement target and a purpose. 6. The spectrometry system according to claim 1, wherein the photoelectric conversion unit includes a minimum of an optical system and a photoelectric conversion element, and the photoelectric conversion element is a solid-state imaging device. 7. The measurement object includes a light source, an illumination light, a color chart, a paint, and a dye.
The spectrometry system described. 8. The database according to claim 1, wherein the database section holds a statistical feature amount derived from a spectral characteristic of a measurement target including a light source, an illumination light, a color chart, a paint, and a dye. Spectroscopic measurement system. 9. A statistical feature derived from a spectral characteristic of a measurement object including a light source, an illumination light, a color chart, a paint, and a dye, and a transmission optical material or a reflection in the color light information extracting unit. The spectral measurement system according to claim 1, further comprising data related to spectral characteristics of the mold optical material and data related to spectral characteristics of the photoelectric conversion unit. 10. The spectrometry system according to claim 1, wherein the data contained in the database section is classified according to the type of data and the purpose of use. 11. The spectral measurement system according to claim 1, wherein the system is used as spectral measurement means in color management including photometry, color matching between different types of devices, and color matching of ink. 12. The spectroscopic measurement system according to claim 1, wherein the spectrometry system is incorporated in another electronic information device. 13. A signal processing method for a spectroscopic measurement system that performs spectroscopic measurement of light having uniform characteristics in a measurement plane, wherein predetermined color light information is extracted from light incident on the spectroscopic measurement system, The converted color light information is converted into an electric signal by photoelectric conversion, a statistical feature derived from a spectral characteristic of a measurement target in the spectroscopic measurement system is held, and the statistical feature stored in the database unit is used. A signal processing method for a spectroscopic measurement system, comprising performing signal processing for estimating spectral characteristics from an electric signal that has been photoelectrically converted. 14. The signal processing method according to claim 13, wherein the type of the measurement target is specified from the electric signal value obtained by the photoelectric conversion. 15. After the type of the measurement target is specified, spectral data of the measurement target is obtained from an electric signal value obtained by photoelectric conversion using data on a statistical feature amount or a spectral characteristic included in the specified type category. The signal processing method of the spectrometry system according to claim 14, wherein characteristics are estimated. 16. A matrix as a statistical feature derived from data related to the spectral characteristics of the transmission optical material or the reflection optical material and data related to the spectral characteristics of the photoelectric conversion unit when extracting color light information. The signal processing method of the spectrometry system according to claim 13, wherein is updated. 17. The signal processing method for a spectral measurement system according to claim 13, wherein the spectral characteristic is estimated after correcting the variation in the luminance characteristic in the surface of the photoelectric conversion element at the time of photoelectric conversion.