JP2010151702A - Device, program and method for displaying spectral data - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a spectral data processing device removing a noise properly, even when an output way of a noise is different according to a wavelength. <P>SOLUTION: When removing a noise from spectral data V, attention is paid to a value V(i) related to intensity of one light, and it is determined whether or not a difference value V(i)-T(i) is out of a range THL-THU determined by thresholds THL, THU. Then, when determined to be out thereof, a noise is regarded to be superimposed on the value V(i) related to the intensity of light, and the value V(i) related to the intensity of the light is replaced with a value V'(i) which is closer to a reference value T(i). The processing is performed to all values V(1), V(2), etc., V(m) related to the intensity of the light, to thereby obtain spectral data V' from which the noise is removed. The thresholds THL, THU are independent relative to each wavelength section W(1), W(2), etc., W(n). <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a spectroscopic data display device that displays spectroscopic data in which values relating to intensity for each wavelength of light are recorded, and a technology related thereto.

  When displaying spectral data that records values related to the intensity of each wavelength of light, such as light intensity, luminance, illuminance, transmittance, and reflectance, it is common to perform processing such as smoothing to remove noise components from the spectral data Is.

  Patent Document 1 is a prior art document in which a document known invention related to the present invention is described. Patent Document 1 detects peaks from spectral data before smoothing and spectral data after smoothing, and uses it to detect noise until the number of peaks detected from the former and latter spectral data matches. It mentions increasing the threshold value. In the invention of Patent Document 1, the threshold value is constant regardless of the wavelength.

Japanese Patent Laid-Open No. 2002-5740

  However, the magnitude of noise superimposed on the spectral data may vary depending on the wavelength. For example, spectroscopic data output from a spectroscopic device that has a sensor that detects light in the wavelength region from ultraviolet to infrared, but whose optical system that guides light to the sensor decreases in the ultraviolet and infrared, includes ultraviolet and infrared. More noise is superimposed on the infrared wavelength region than in the visible wavelength region. In general, sensors that detect light are less sensitive in the ultraviolet wavelength region and are more susceptible to thermal noise in the infrared wavelength region on the longer wavelength side. This causes the size to vary depending on the wavelength. For this reason, when the threshold value used for determining whether or not noise is superimposed is constant regardless of the wavelength, the noise may not be appropriately removed.

  The present invention has been made to solve this problem, and it is an object of the present invention to provide a spectroscopic data display device in which noise is appropriately removed even when the appearance of noise differs depending on the wavelength.

  In order to solve the above problem, the invention of claim 1 is a spectral data display device for displaying spectral data in which values relating to the intensity for each wavelength of light are recorded, and a difference value between a value relating to the intensity of light and a reference value. Is replaced with a value close to a reference value for a light intensity determined by the determination unit to determine whether or not the difference value is out of the range. And a graph drawing unit that draws a graph representing spectral data after the value relating to the intensity of light is replaced by the replacement unit on a display.

  The invention according to claim 2 is the spectral data display device according to claim 1, wherein the spectral data display device is derived from values relating to the intensity of a plurality of lights measured before and after obtaining values relating to the intensity of light to be determined by the determination unit. A threshold deriving unit that uses a value representing the variation as a threshold.

  According to a third aspect of the present invention, in the spectroscopic data display device according to the first aspect, the threshold value for deriving the threshold value from a spectral sensitivity characteristic representing a change in spectral sensitivity for each wavelength of the spectroscopic measurement device that performs spectroscopic measurement and generates spectroscopic data. A derivation unit.

  According to a fourth aspect of the present invention, in the spectral data display device according to the first aspect, a threshold value is derived from the spectral sensitivity in a wavelength section in which the spectral sensitivity of the spectral measurement device that performs spectral measurement and generates spectral data is lower than the reference. Threshold derivation using a threshold value as a value representing a variation derived from values related to the intensity of light measured before and after acquisition of values related to the intensity of light to be determined by the determination unit in a wavelength category having a sensitivity higher than a reference. A section.

  According to a fifth aspect of the present invention, in the spectral data display device according to any one of the first to fourth aspects, the intensity of light measured before obtaining a value relating to the intensity of light to be determined by the determination unit. A reference value deriving unit that uses the value relating to the reference value as a reference value.

  A sixth aspect of the present invention is the spectral data display device according to any one of the first to fourth aspects, wherein the plurality of lights measured before and after obtaining the value relating to the intensity of light to be determined by the determination unit. A reference value deriving unit that uses a representative value of the values related to the strength of the reference value as a reference value.

  According to a seventh aspect of the present invention, in the spectral data display device according to any one of the first to sixth aspects, the GUI component that accepts the setting of the threshold value and the reference value of the value relating to the intensity of light or the value relating to the intensity of light. A GUI screen drawing unit that draws a GUI screen on a display, the drawing screen including a drawing region in which an image in which a mark indicating a threshold set by the GUI component is superimposed on a graph expressing a change of a deviation value for each wavelength is drawn; Further prepare.

  According to an eighth aspect of the present invention, in the spectral data display device according to any one of the first to seventh aspects, the graph drawing unit has a predetermined continuous portion in which values relating to light intensity are replaced by the replacement unit. If it is within the specified wavelength range, a graph representing the spectral data after replacement is drawn on the display, and among the values related to the intensity of the light replaced by the replacement unit, the continuous portion exceeds the wavelength range. In this case, the past spectral data in which the continuous portion is within the wavelength range among the values relating to the intensity of the light replaced by the replacement unit is maintained in a state of being drawn on the display.

  The invention of claim 9 is a spectral data display program for displaying spectral data in which values relating to the intensity of each wavelength of light are recorded by being executed by a computer. A step of determining whether or not a difference value between a value relating to intensity of light and a reference value is out of a range determined by an independent threshold for each wavelength division; and b) light in which the difference value is determined to be out of the range in step a). A step of substituting a value related to the intensity of light with a value close to a reference value, and c) a step of drawing on the display a graph representing the spectral data after the value related to the intensity of light is replaced in step b). Let

  The invention according to claim 10 is a spectroscopic data display method for displaying spectroscopic data in which values relating to the intensity for each wavelength of light are recorded, wherein a) a difference value between a value relating to the intensity of light and a reference value is determined for each wavelength category. A step of determining whether or not out of a range determined by an independent threshold; and b) a step of replacing a value related to the intensity of light determined to be out of the range in step a) with a value close to a reference value; c) drawing on a display a graph representing the spectral data after the value relating to the intensity of light is replaced in step b).

  According to the first to tenth aspects of the present invention, since the threshold value used as a criterion for determination is independent for each wavelength section, the noise is appropriately removed even when the appearance of noise differs depending on the wavelength. .

  According to the invention of claim 2, since the threshold value is derived by a simple process, the spectral data is processed at high speed.

  According to the invention of claim 3, noise is appropriately removed even when the spectral sensitivity varies depending on the wavelength.

  According to the invention of claim 4, the threshold value is derived from the spectral sensitivity in the wavelength category where the spectral sensitivity is low and noise is likely to occur, so that the noise is appropriately removed and the spectral category is high in spectral sensitivity and difficult to generate noise. Since the threshold value is derived by simple processing, the spectral data is processed at high speed.

  According to the fifth to sixth aspects of the present invention, since the reference value is derived by a simple process, the spectral data is processed at high speed.

  According to the seventh aspect of the present invention, the threshold value is set while referring to how noise is generated, and therefore an appropriate threshold value is set.

  According to the invention of claim 8, since the graph drawn on the display is not updated when the continuous portion in which the value relating to the intensity of light is replaced exceeds the predetermined wavelength range in the wavelength direction, flickering is not caused. Decrease and improve visibility.

<1 Outline of noise removal>
1 to 4 are diagrams for explaining an outline of noise removal from the spectral data V. FIG. 1 shows spectral data V before noise removal, FIG. 2 shows reference spectral data T, FIG. 3 shows a difference VT between the spectral data V and reference spectral data T, and FIG. 4 shows noise after noise removal. It is a graph expressing spectroscopic data V ′.

  “Spectroscopic data” is data in which values relating to the intensity for each wavelength of light are recorded. Data for each value that is inversely proportional to the wavelength such as frequency, wave number, and photon energy should be considered to be included in the category of data for each wavelength. The “value relating to the intensity of light” includes a value that directly represents the intensity of light such as light quantity, luminance, and illuminance, and a value that is indirectly derived from the intensity of light such as transmittance and reflectance.

  Spectral data V is a set of values V (1), V (2),..., V (m) related to the intensity of light for each wavelength, and the reference spectral data T is a reference value T (1), T (2), ..., T (m), and the difference VT is a value V (1), V (2), ..., V (m) and a reference value T (1 ), T (2), ..., T (m) and the difference value V (1) -T (1), V (2) -T (2), ..., V (m) -T (m) The spectral data V ′ is a set of values V ′ (1), V ′ (2),..., V ′ (m) related to the intensity of light for each wavelength.

  1 to 4 show the case of m = 18, m may be increased or decreased.

  In removing noise from the spectral data V, paying attention to the value V (i) related to the intensity of one light, the difference value V (i) -T (i) is obtained from the range THL to THU determined by the thresholds THL and THU. It is determined whether or not it comes off. If it is determined that the value is off, it is assumed that noise is superimposed on the value V (i) relating to the intensity of light, and the value V (i) relating to the intensity of light is set to a value V ′ (i) close to the reference value T (i). ). When it is determined that it does not deviate, the value V (i) relating to the intensity of the original light is used as it is (V ′ (i) = V (i)). By performing this processing on all values V (1), V (2),..., V (m) relating to the intensity of light, spectral data V ′ from which noise has been removed is obtained.

  As shown in FIG. 3, the thresholds THL and THU that serve as criteria for determination are independent for each of the wavelength sections W (1), W (2),..., W (n). As a result, even when the manner of noise generation is different for each wavelength section W (1), W (2),..., W (n), the noise is appropriately removed. For example, when noise is likely to be generated in the wavelength sections W (1) and W (3) and noise is not easily generated in the wavelength sections W (2), as shown in FIG. 3, the wavelength sections W (1) and W (3 If the threshold values THL and THU in () are reduced and the threshold values THL and THU in wavelength section W (2) are increased, noise will be removed appropriately in wavelength sections W (1) and W (3). In the wavelength section W (2), information on the true variation of the spectral data is maintained. Typically, the magnitude of the lower threshold THL | THL | and the magnitude of the upper threshold THU | THU | are the same, but may be different.

  FIG. 3 illustrates the case of n = 3, but n may be increased or decreased. As n = m, thresholds THL and THU may be set for each of values V (1), V (2),.

  The thresholds THL and THU may be fixed values that do not change even if time passes, or may be fluctuation values that change if time passes.

<2 Spectroscopic measurement system 102>
FIG. 5 is a diagram illustrating a preferred embodiment of a spectroscopic measurement system 102 having functions of a spectroscopic measurement device that performs spectroscopic measurement and generates spectroscopic data and a spectroscopic data display device that displays spectroscopic data. FIG. 5 is a block diagram of the spectroscopic measurement system 102.

  As shown in FIG. 5, the spectroscopic measurement system 102 includes a measuring unit 104 that performs spectroscopic measurement and generates spectroscopic data V, an embedded computer 106 that processes spectroscopic data V generated by the measuring unit 104, and an embedded computer 106 that performs processing. And a personal computer 108 for displaying the spectral data V ′.

<2.1 Measuring unit 104>
As shown in FIG. 5, the measurement unit 104 disperses incident light for each wavelength and then guides the light to the line sensor 112, and receives light dispersed by the optical system 110 for each wavelength. A line sensor 112 that generates an analog signal representing the amount of light, an analog signal processing circuit 114 that processes the analog signal generated by the line sensor 112, and an A / D that converts the analog signal processed by the analog signal processing circuit 114 into a digital signal. Converter 116. The spectral data V converted into a digital signal by the A / D converter 116 is output to the embedded computer 106. Output of the spectral data V from the measurement unit 104 is repeatedly performed at regular intervals.

  The optical system 110 is configured by combining optical elements such as lenses, mirrors, filters, shutters, and slits with wavelength dispersion elements such as prisms and diffraction gratings, and spectral filters.

  The line sensor 112 is configured by arranging photoelectric conversion elements such as photodiodes in one direction. The arrangement direction of the photoelectric conversion elements is a direction in which the optical system 110 disperses light for each wavelength. Each photoelectric conversion element photoelectrically converts the energy of light of each wavelength, and outputs a pixel signal corresponding to the amount of light of each wavelength.

  The measuring unit 104 only needs to function as a spectroscopic measuring device that outputs spectroscopic data V, for example, a spectrophotometer, a spectrocolorimeter, a spectral radiance meter, and the like, and the configuration of the measuring unit 104 described above may be modified. . For example, instead of the line sensor 112, a point sensor and a scanning mechanism that scans the point sensor in a direction in which the optical system 110 disperses incident light for each wavelength may be provided. All of the measurement unit 104 and the optical system 110 may be exchanged.

<2.2 Embedded computer 106>
As shown in FIG. 5, the embedded computer 106 temporarily stores the CPU 118 that executes the control program 126, the memory 120 into which the control program 126 is loaded, and the spectral data V generated by the measurement unit 104 that is the spectroscopic measurement device. A buffer memory 121 serving as a storage unit, a flash memory 122 in which a control program 126 is installed, and an interface 124 for transmitting / receiving data to / from the personal computer 108. Instead of the flash memory 122, another auxiliary storage device such as a hard disk drive may be employed.

  The embedded computer 106 processes the spectral data V when the CPU 118 executes the control program 126 loaded from the flash memory 122 to the memory 120. All or part of the processing performed by the embedded computer 106 may be performed by a dedicated hardware circuit, or may be performed by the personal computer 108.

  The memory 120 serving as the storage unit also holds the reference spectral data T, the thresholds THL and THU that are independent for each wavelength section, and the spectral sensitivity characteristic 134 that represents changes in the sensitivity of the measuring unit 104 depending on the wavelength. If the measurement unit 104 or the optical system 110 is replaceable, the measurement unit 104 can obtain the spectral sensitivity characteristic itself or information necessary for deriving the spectral sensitivity characteristic, such as the model number / serial number of the measurement unit 104 or the optical system 110. It is desirable to obtain the data from the memory 120 and write it to the memory 120.

  The control program 126 is installed in advance when the spectroscopic measurement system 102 is shipped. However, it is permitted to install the control program 126 from a recording medium such as the disk 146 after installation or via a network.

<2.3 Personal Computer 108>
As shown in FIG. 5, the personal computer 108 includes a CPU 136 that executes a display program 144, a memory 138 that is loaded with the display program 144, a hard disk drive 140 that is installed with the display program 144, and a display 142 that displays images. With. Instead of the hard disk drive, another auxiliary storage device such as a solid state drive may be employed.

  When the CPU 136 executes the display program 144 loaded from the hard disk drive 140 to the memory 138, the personal computer 108 draws a graph representing the spectral data V ′ after removing the noise on the display 142. The embedded computer 106 may cause all or part of the processing performed by the personal computer 108 to be performed.

  The display program 144 is installed in advance when the spectroscopic measurement system 102 is shipped. However, it is permitted to install the control program 126 from a recording medium such as the disk 146 after installation or via a network.

<2.4 Processing>
6 and 7 are flowcharts showing the flow of processing in the spectroscopic measurement system 102. The buffer process shown in FIG. 6 and the graph drawing process shown in FIG. 7 are performed in parallel.

  As shown in FIG. 6, in the buffer process, when the spectroscopic data V is generated by the measurement unit 104 (step S101), the spectroscopic data V is written into the buffer memory 121 by the embedded computer 106 (step S102), and the process is performed. The old spectral data V that is no longer needed is deleted from the buffer memory 121 (step S103). As a result, the state in which the spectral data V necessary for processing is buffered in the buffer memory 121 is maintained. The spectral data V required for processing varies depending on the reference spectral data V and the method for deriving the thresholds THL and THU. The buffer process shown in FIG. 6 is performed every time the spectral data V is generated by the measurement unit 104.

  On the other hand, as shown in FIG. 7, in the noise removal / graph drawing processing, the built-in computer 106 first reads the spectral data V, the reference spectral data T, and the threshold values THL and THU from the memory 120 and the buffer memory 121 (step S111). ).

  Subsequently, the embedded computer 106 removes noise from the spectral data V from which noise is to be removed to generate spectral data V ′ (step S112).

  Subsequently, whether or not the portion where the value V (i) relating to the intensity of light is replaced in the spectroscopic data V to be subjected to noise removal continues beyond a predetermined wavelength range (reference) in the wavelength direction. Is determined by the embedded computer 106 (step S113).

  When the replaced portion is not continuous beyond the reference as shown in the graph of FIG. 8 drawn with a dotted line (“NO” in step S113), the spectral data V ′ generated by the embedded computer 106 is The data is output to the personal computer 108 as it is (step S114), and a graph representing the spectral data V ′ is drawn on the display 142 in the personal computer 108 (step S115). Thereby, the graph drawn on the display 142 is updated to a graph reflecting the latest spectral data V ′.

  On the other hand, if the replaced portion is continuous beyond the wavelength range (reference) as shown in the graph of FIG. 9 drawn with a dotted line (“YES” in step S113), the built-in computer 106 draws the graph. A maintenance command is output to the personal computer 108 (step S116), and the portion in the personal computer 108 where the value V (i) relating to the intensity of light in the past spectral data V ′ is replaced exceeds a predetermined reference. The state where the graph representing the discontinuous spectral data V ′ is displayed on the display is maintained (step S117).

  By this noise removal / graph drawing process, a graph representing the spectral data V ′ after removing the noise is drawn on the display 142. In addition, when the spectroscopic data V changes suddenly due to a cause such as movement of the sample, the portion where the value V (i) is replaced in the spectroscopic data V is continuous over a wide wavelength range. The graph drawn on the display 142 is not updated. This contributes to reducing the flicker of the display 142 and improving the visibility.

<2.5 Noise removal from spectral data V>
FIG. 10 is a flowchart showing a flow of removing noise from the spectral data V by the embedded computer 106.

  As shown in FIG. 10, in removing noise from the spectral data V, first, a difference value V (i) −T (i) between a value V (i) relating to the intensity of light and a reference value T (i) is obtained. It is determined whether or not the range THL to THU determined by the threshold values THL and THU (step S121).

  If the difference is found (“YES” in step S121), it is assumed that noise is superimposed on the value V (i) relating to the intensity of light, and the value V (i) relating to the intensity of light is used as the reference value T (i). Is replaced with a value V ′ (i) close to (step S122), and the process proceeds to the next process.

  On the other hand, if it does not deviate ("NO" in step S121), the process proceeds to the next process without replacing the value V (i) relating to the intensity of light.

  In the next process, it is determined whether or not the processes in steps S121 to S122 have been completed for all values V (i) relating to the intensity of light constituting the spectral data V (step S123).

  If it is completed (“YES” in step S123), the spectral data V ′ is output to the personal computer 108 (step S124).

  On the other hand, if not completed, the process returns to step S121, and the processing of steps S121 to S122 is repeated for the value V (i) relating to the intensity of light for which the processing of steps S121 to S122 has not been completed.

<2.6 Reference spectroscopic data T>
FIGS. 11 and 12 are diagrams for explaining first and second examples of the reference spectral data T, respectively. 11 and 12 schematically show spectral data V [p-2], V [p-1], V [p], V [p + 1], and V [p + 2]. . Spectral data V [p] is spectral data that is subject to noise removal. Spectral data V [p-2], V [p-1], V [p + 1], and V [p + 2] are , Respectively, are spectral data measured two before, one before, one after, and two after the spectroscopic data V [p].

{First example of reference spectral data T}
In the first example of the reference spectroscopic data T shown in FIG. 11, the spectroscopic data V [p-1] measured immediately before the acquisition of the spectroscopic data V [p] to be noise-removed is used as the reference spectroscopic data. T. Therefore, the reference value T (i) constituting the reference spectral data T is the value V related to the intensity of light measured immediately before the acquisition of the value V (i) [p] related to the intensity of light to be determined. (i) [p-1]. Of course, “one previous” is an example, and generally speaking, the spectroscopic data V [pq] measured q times ago is set as the reference spectroscopic data T (q is a natural number).

  In the first example, the derivation of the reference spectral data T corresponds to reading of the spectral data V [p-q] measured q times before.

{Second example of reference spectroscopic data T}
In the second example of the reference spectral data T shown in FIG. 12, the five spectral data V [p-2] measured within two before and after the acquisition of the spectral data V [p] to be noise-removed. , V [p-1], V [p], V [p + 1], V [p + 2] are averaged to obtain the reference spectral data T. Therefore, the reference value T (i) constituting the reference spectroscopic data T is the five light values measured within two before and after the acquisition of the value V (i) [p] related to the intensity of the light to be determined. Strength values V (i) [p-2], V (i) [p-1], V (i) [n], V (i) [p + 1], V (i) [p + 2] Is the average value. Of course, “within two before and after” is also an example, and generally speaking, a value V (i) [pr],... Related to the intensity of light measured within r before and after s. , V (i) [p], ..., V (i) [p + s] are averaged to obtain a reference value T (i) (r and s are 0 or natural numbers (except when r = s = 0) )). The “average value” is also an example, and generally speaking, it is a representative value such as an average value, a median value, or a mode value.

  In the second example of the reference spectral data T, as shown in the flowchart of FIG. 13, the spectral data V necessary for deriving the reference spectral data T is read from the buffer memory 121 prior to reading the reference spectral data T. (Step S131) The reference spectral data T is derived from the read spectral data V (step S132), and the derived reference spectral data T is written in the memory 120 (step S133).

  According to the first and second examples of the reference spectroscopic data T, since the reference spectroscopic data T is derived by a simple process, the spectroscopic data V is processed at high speed.

<2.7 Threshold THL, THU>
14 to 18 are diagrams illustrating first to fifth examples of threshold values THL and THU, respectively.

{First example of threshold THL, THU}
In the first example of the threshold values THL and THU shown in FIG. 14, different threshold values THL of -A, -B, and -C are provided for the wavelength divisions of UV (ultraviolet), VIS (visible), and IR (infrared), respectively. And different threshold values THU of + A, + B, and + C are set. The set values -A, -B, -C and + A, + B, + C are fixed values. The set values -A, -B, -C and + A, + B, + C are set on threshold setting screens 181 and 191 which will be described later.

  FIG. 19 is a graph representing spectral data V to which the first example of threshold values THL and THU can be suitably applied. FIG. 19 is a graph representing the spectral data V with much noise in the UV and IR wavelength divisions and little noise in the VIS wavelength divisions. In the case of such spectral data V, it is desirable to reduce the threshold THL and THU of the UV and IR wavelength sections with much noise and increase the threshold THL and THU of the VIS wavelength section with less noise.

{Second example of threshold THL, THU}
In the second example of the threshold values THL and THU shown in FIG. 15, the same threshold value THL of -A is set in the wavelength division of UV, VIS, and IR, and the same threshold value THU of + A is set. The set values -A and + A are fixed values. The setting values -A and + A are set on threshold setting screens 181 and 191 described later.

  FIG. 20 is a graph representing spectroscopic data V to which the second example of the threshold values THL and THU can be suitably applied. FIG. 20 is a graph representing spectral data V in which the appearance of noise is uniform regardless of the wavelength.

{Third example of threshold values THL and THU}
In the third example of the threshold values THL and THU shown in FIG. 16, each of the values V (1),..., V (i),. Different thresholds THL such as A (i),..., -A (m) are set, and different thresholds THU such as + A (1),..., + A (i),. The set values -A (1), ...,-A (i), ...,-A (m) and + A (1), ..., + A (i), ..., + A (m) are variable values. is there.

  The magnitudes of the set values -A (i) and + A (i) are the five lights measured within two before and after the acquisition of the value V (i) [p] related to the intensity of the light to be judged. V (i) [p-2], V (i) [p-1], V (i) [p], V (i) [p + 1], V (i) [p + 2 ] Of the distribution σ. Of course, “within two before and after” is an example, and generally speaking, a value V (i) [pr],... Relating to the intensity of light measured within r before and after s. , V (i) [p],..., V (i) [p + s] (r and s are 0 or a natural number (except when r = s = 0)). “Dispersion” is also an example, and generally speaking, values V (i) [pr],..., V (i) [p],. It is a value representing the magnitude of the variation derived from [p + s].

  In the third example of the threshold values THL and THU, as shown in the flowchart of FIG. 21, the spectral data V necessary for deriving the threshold values THL and THU is read from the memory 120 prior to the reading of the threshold values THL and THU ( In step S141), threshold values THL and THU are derived from the read spectral data V (step S142), and the derived threshold values THL and THU are written in the memory 120 (step S143).

  According to the third example of the threshold values THL and THU, since the threshold values THL and THU are derived by simple processing, the spectral data V are processed at high speed.

  When combining the second example of the reference spectral data T and the third example of the thresholds THL and THU, the spectral data V used for the derivation of the reference spectral data T and the derivation of the thresholds THL and THU should be the same. Is desirable.

{Fourth example of threshold values THL and THU}
In the fourth example of the threshold values THL and THU shown in FIG. 17, different threshold values THL of -AUV, -BVIS, -CNIR, and -DIR are respectively set in the wavelength categories of UV, VIS, NIR (near infrared), and IR. Is set, and different thresholds THU of + AUV, + BVIS, + CNIR, and + DIR are set. The set values -AUV, -BVIS, -CNIR, -DIR and + AUV, + BVIS, + CNIR, + DIR are fixed values. The set values -AUV, -BVIS, -CNIR, -DIR and + AUV, + BVIS, + CNIR, + DIR are derived from the spectral sensitivity characteristics of the measurement unit 104.

  In the fourth example of the threshold values THL and THU, as shown in the flowchart of FIG. 22, the spectral sensitivity characteristic 134 of the measurement unit 104 is read from the memory 120 (step S151), and the threshold value is read from the read spectral sensitivity characteristic 134. THL and THU are derived (step S152), and the derived threshold values THL and THU are written into the memory 120 (step S153). At this time, in general, noise is more likely to occur as the spectral sensitivity is lower. Therefore, the threshold values THL and THU are small in the wavelength segment with low spectral sensitivity, and the threshold values THU and THU in the wavelength segment with high spectral sensitivity. It is desirable to increase the size of.

  According to the fourth example of the threshold values THL and THU, noise is made appropriate even when the spectral sensitivity differs for each wavelength section.

{Fifth example of threshold values THL and THU}
In the fifth example of the threshold values THL and THU shown in FIG. 18, different threshold values THL of -AUV, -CNIR, and -DIR are set in the wavelength categories of UV, NIR, and IR, respectively, as in the fourth example. Are set, and different thresholds THU of + AUV, + CNIR, and + DIR are set. In the wavelength division of VIS, as in the case of the third example, -A (s), ...,-A (t ) And a different threshold THU of + A (s),..., + A (t) are set.

  In the fifth example of the threshold values THL and THU, as shown in the flowchart of FIG. 23, prior to the reading of the threshold values THL and THU, the spectral sensitivity characteristics of the measurement unit 104 and the spectral data V necessary for deriving the threshold values THL and THU are obtained. Is read from the memory 120 (step S161), and the threshold values THL and THU of the wavelength divisions (in the example of FIG. 17, UV, NIR, and UR wavelength divisions) in which the spectral sensitivity is worse than the reference are derived from the spectral sensitivity characteristics (step S161). S162), the threshold values THL and THU of the values V (s),..., V (t) relating to the intensity of light in the wavelength section where the spectral sensitivity is better than the reference (VIS wavelength section in the example of FIG. 17) are read out. Derived from the spectroscopic data V (step S163), the derived threshold values THL and THU are written in the memory 120 (step S164).

  According to the fifth example of the threshold values THL and THU, the threshold values THL and THU are derived from the spectral sensitivity characteristics in the wavelength division where the spectral sensitivity is low and noise is likely to occur. Since the threshold values THL and THU are derived by simple processing in the wavelength division where noise is high and noise is not easily generated, the spectral data V is processed at high speed.

<2.8 Value V ′ (i) for light intensity after replacement>
V ′ (i) relating to the light after replacement is measured within 2 before and after the acquisition of the value V (i) [p] relating to the intensity of the light to be determined whether or not noise is superimposed. V (i) [p-2], V (i) [p-1], V (i) [n], V (i) [p + 1], V (i) [ It is desirable that it does not deviate from the range THL to THU determined by the thresholds THL and THU of [p + 2]. `` Things that do not deviate from the range THL to THU '' means that if the difference between the light intensity value V (i) and the reference value T (i) is below the lower threshold THL, the difference value V (i)- Assume that T (i) is closest to the lower threshold THL, and the difference V (i) -T (i) between the light intensity value V (i) and the reference value T (i) is the upper threshold. When the value exceeds THU, the difference value V (i) -T (i) may be the closest to the upper threshold THL. In addition, it may be closest to the reference value T (i).

  Here, threshold values THL and THU for determining the range of the value V ′ (i) relating to the intensity of the light after replacement, and the threshold THL used for determining whether or not noise is superimposed on the value V (i) relating to the intensity of the light , THU is the same, but both may be different.

<2.9 Threshold setting screen>
24 and 25 are diagrams illustrating first and second examples of the threshold setting screen.

{First example of threshold setting screen}
The threshold setting screen 181 shown in FIG. 24 includes a list box group 182 that accepts setting methods of threshold values THL and THU for each wavelength division, and spin button groups 183 and 184 that accept setting of threshold values THL and THU for each wavelength division. It is a GUI screen provided with a drawing area 187 in which an image in which marks 186 indicating thresholds THL and THU set in a graph 185 representing a change of the value V (i) -T (i) depending on the wavelength are superimposed is drawn. . The threshold setting screen 181 is drawn on the display 142 in the personal computer 108. Settings on the threshold setting screen 181 are transmitted from the personal computer 108 to the embedded computer 106.

  The list box group 182 allows one of “arbitrary”, “automatic”, and “spectral sensitivity” to be selected as a method for setting the thresholds THL and THU. “Arbitrary” means that the threshold values THL and THU are set by the spin button groups 183 and 184, and “automatic” means a value representing variation as described in the third example of the threshold values THL and THU. “Spectral sensitivity” means that the threshold values THL and THU are derived from the spectral sensitivity characteristics as described in the fourth example of the threshold values THL and THU.

  Note that it is not essential to use the list box group 182 to accept the threshold THL and THU setting methods, and to use the spin button groups 183 and 184 to accept the threshold THL and THU settings. Parts may be used.

  According to the first example of the threshold value setting screen, the threshold values THL and THU are set with reference to how noise is generated, so that appropriate threshold values THL and THU are set.

  The threshold setting screen 181 shown in FIG. 24 also accepts an operation for enlarging a part of the drawing area 187. When the threshold setting screen 181 receives an operation for enlarging a part of the drawing area 187, a part of the drawing area 187 is enlarged, and the threshold THL, THU setting method and threshold THL, The wavelength classification that accepts THU settings also becomes finer. For example, in FIG. 24, the threshold value THL, THU setting method and threshold value THL, THU setting can be received every 100 nm, but when an operation for expanding the wavelength range of 400 to 470 nm in the drawing region 187 is received, every 10 nm. The threshold value THL, THU setting method and threshold value THL, THU setting are accepted.

{Second example of threshold setting screen}
The threshold setting screen 191 shown in FIG. 25 is set to a button group 192, 193 for receiving the setting of the threshold THL, THU for each wavelength section, and a graph 194 expressing the change of the value V (i) regarding the intensity of light according to the wavelength. It is a GUI screen provided with a drawing area 196 on which an image in which marks 195 indicating the threshold values THL and THU are superimposed is drawn. The threshold setting screen 191 is drawn on the display 142 in the personal computer 108. Settings on the threshold setting screen 191 are transmitted from the personal computer 108 to the embedded computer 106. The position where the mark 195 is drawn may represent the threshold values THL and THU itself, or may be a position obtained by adding the threshold values THL and THU to the reference value T (i).

  Also in the second example of the threshold setting screen, the threshold is set while referring to how noise is generated, and thus an appropriate threshold is set.

<2.10 Others>
Although the present invention has been described in detail, the above description is illustrative in all aspects, and the present invention is not limited thereto. It is understood that countless variations that are not illustrated can be envisaged without departing from the scope of the present invention.

It is a figure expressing the spectroscopic data before noise is removed. It is a figure expressing standard spectroscopy data. It is a figure expressing the difference of spectral data and reference | standard spectral data. It is a figure expressing the spectroscopic data after noise is removed. 1 is a block diagram of a spectroscopic measurement system of a preferred embodiment. FIG. It is a flowchart which shows the flow of a buffer process. It is a flowchart which shows the flow of a noise removal / graph drawing process. It is a figure expressing the spectroscopic data which the part by which the value regarding the intensity of light was substituted did not exceed the predetermined reference | standard. It is a figure expressing the spectroscopic data in which the part by which the value regarding the intensity of light was replaced is continuing exceeding the predetermined reference | standard. It is a flowchart which shows the flow of the removal of the noise from spectral data. It is a figure explaining the 1st example of reference | standard spectral data. It is a figure explaining the 2nd example of reference | standard spectral data. It is a flowchart which shows the flow of derivation | leading-out of the 2nd example of reference | standard spectral data. It is a figure explaining the 1st example of a threshold value. It is a figure explaining the 2nd example of a threshold value. It is a figure explaining the 3rd example of a threshold value. It is a figure explaining the 4th example of a threshold value. It is a figure explaining the 5th example of a threshold value. It is a figure expressing the spectroscopic data V which can apply the 1st example of a threshold value suitably. It is a figure expressing the spectroscopic data V which can apply the 2nd example of a threshold value suitably. It is a flowchart which shows the flow of derivation | leading-out of the 3rd example of a threshold value. It is a flowchart which shows the flow of derivation | leading-out of the 4th example of a threshold value. It is a flowchart which shows the flow of derivation | leading-out of the 5th example of a threshold value. It is a figure which shows the 1st example of a threshold value setting screen. It is a figure which shows the 2nd example of a threshold value setting screen.

Explanation of symbols

DESCRIPTION OF SYMBOLS 102 Spectroscopic measurement system 104 Measuring part 106 Embedded computer 108 Personal computer 181 Threshold setting screen 191 Threshold setting screen

Claims (10)

A spectral data display device that displays spectral data in which values relating to the intensity of each wavelength of light are recorded,
A determination unit that determines whether or not a difference value between a value related to light intensity and a reference value is out of a range determined by an independent threshold for each wavelength division;
A replacement unit that replaces a value related to the intensity of light determined to be out of range by the determination unit with a value close to a reference value;
A graph drawing unit for drawing a graph representing spectral data after the value relating to the intensity of light is replaced by the replacement unit on a display;
A spectral data display device comprising: The spectral data display device according to claim 1,
A threshold derivation unit that uses a value representing a variation derived from values relating to the intensity of light measured before and after acquisition of values relating to the intensity of light to be determined by the determination unit as a threshold;
A spectral data display device further comprising: The spectral data display device according to claim 1,
A threshold deriving unit for deriving a threshold from a spectral sensitivity characteristic representing a change in spectral sensitivity for each wavelength of a spectroscopic measurement device that performs spectroscopic measurement and generates spectroscopic data;
A spectral data display device further comprising: The spectral data display device according to claim 1,
A threshold value is derived from the spectral sensitivity in a wavelength section where the spectral sensitivity of the spectroscopic measurement apparatus that generates spectral data by performing spectroscopic measurement is lower than the reference, and in the wavelength section where the spectral sensitivity is higher than the reference, A threshold derivation unit that uses a value representing a variation derived from values related to the intensity of a plurality of lights measured before and after acquisition of a value relating to strength as a threshold;
A spectral data display device further comprising: The spectral data display device according to any one of claims 1 to 4,
A reference value deriving unit that uses a value related to the intensity of light measured before acquisition of a value related to the intensity of light to be determined by the determining unit as a reference value;
A spectral data display device further comprising: The spectral data display device according to any one of claims 1 to 4,
A reference value deriving unit using a representative value of a plurality of values relating to the intensity of light measured before and after acquisition of values relating to the intensity of light to be determined by the determining unit as a reference value;
A spectral data display device further comprising: The spectral data display device according to any one of claims 1 to 6,
A mark indicating the threshold set by the GUI component is superimposed on a GUI component that accepts the threshold setting and a graph that represents a change for each wavelength of a value relating to the intensity of light or a deviation value from the reference value of the value relating to the intensity of light. A GUI screen drawing unit for drawing a GUI screen on the display, the drawing screen including a drawing area on which the drawn image is drawn,
A spectral data display device further comprising: The spectral data display device according to any one of claims 1 to 7,
The graph drawing unit
When the continuous portion in which the value relating to the intensity of light is replaced by the replacement unit is within a predetermined wavelength range, a graph representing the spectral data after replacement is drawn on the display, and the replacement unit replaces the value. In the case where the continuous portion exceeds the wavelength range among the values relating to the intensity of the emitted light, the past spectral data in which the continuous portion is within the wavelength range among the values relating to the intensity of the light replaced by the replacement unit. Spectral data display device that maintains the state of being drawn on the display. A spectral data display program for displaying spectral data in which values relating to the intensity of each wavelength of light are recorded by being executed by a computer, the spectral data display program being displayed on a computer,
a) determining whether the difference between the value relating to the intensity of light and the reference value is out of a range determined by an independent threshold value for each wavelength category;
b) replacing the value relating to the intensity of light determined to be out of range in step a) with a value close to a reference value;
c) drawing on the display a graph representing the spectral data after the values relating to the intensity of light in step b) have been replaced;
Spectral data display program to execute A spectroscopic data display method for displaying spectroscopic data in which values relating to intensity for each wavelength of light are recorded,
a) determining whether the difference between the value relating to the intensity of light and the reference value is out of a range determined by an independent threshold value for each wavelength category;
b) replacing the value relating to the intensity of light determined to be out of range in step a) with a value close to a reference value;
c) drawing on the display a graph representing the spectral data after the values relating to the intensity of light in step b) have been replaced;
A spectral data display method comprising:

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