JPH07210677A - Correcting device for picture processor - Google Patents

Abstract

PURPOSE:To provide the correcting devie in the picture processor accurately eliminating the disturbance noise in real time. CONSTITUTION:The spectle data detected by a CCD detecting device 11 on a Raman spectrometer 10 is given to a 1st storage part 14. As the former measurement data (after correction) is stored in a 2nd storage part 15, a disturbance noise detection part 21 compares the data of the storage parts and, when it judges the data is higher than the threshold value, the disturbance noise is judged to be presented. A data correction part 22 replaces the present data by the former data stored in the 2nd storage part. In a 3rd storage part 16, the data after correction integrated by an integration part 23 are stored. A spectle data preparation part 26 divides the data by the number of integrations and the spectle data without disturbance noise can be obtained and it is outputted to a display device 25.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a correction device in an image processing apparatus, and more particularly to improvement of a correction device for removing noise in an image processing apparatus for a static image.

[0002]

2. Description of the Related Art A CCD detector is a high-sensitivity photodetector, and is used as a detector in a spectrophotometer and other measuring devices such as a Raman spectroscope and a visible spectroscope, and various image devices (imaging devices). Widely used in.

By the way, in the case of a CCD detector, disturbance noise is randomly generated locally and temporally due to the influence of cosmic rays or the like. The light intensity of the generated noise is relatively high. Therefore, the measurement data originally captured may be canceled by the disturbance noise.

Further, in the case of weak signal measurement such as with a spectrophotometer, the measurement takes several hours to several tens of hours, so that the influence of disturbance noise due to the cosmic rays becomes remarkable. As an example, as shown in FIG. 6, disturbance noise occurs in each part of the original spectrum data as indicated by “*”.
And in the case of this spectrum data, the wavelength position of the peak and its light intensity are particularly important values, but when the peak and the disturbance noise match or approach, it becomes difficult to detect an accurate peak, and in particular, the peak When the value of is small, measurement becomes impossible. Further, the disturbance noise does not always appear as one line as shown in the figure, but may appear with a predetermined width. In such a case, there is a high possibility that the peak portion will be hidden, and the possibility that measurement will be impossible increases.

Therefore, a conventional correction device is shown in FIG.
When the spectrum data as shown in (A) is obtained, it is compared with the adjacent light intensities, and if the difference is large, it is regarded as disturbance noise, and the disturbance noise portion is cut as shown in FIG. , There is a method in which adjacent measurement values (light intensities) separated by cutting are corrected so as to be connected by a straight line ((C) in the same figure).

[0006]

However, in the above-described conventional correction method, since the correction processing is performed on the finally obtained spectrum data and the like, when the disturbance noise occurs in the middle of the peak, There is not much problem,
If it coincides with the peak, the correction process can no longer be performed.

Further, if the measurement time is long, the number of disturbance noises is increased accordingly, so that the portion to be cut by the correction becomes large and the reliability of the finally obtained data deteriorates. Furthermore, since correction processing (cutting and interpolation of disturbance noise) is performed after all data is acquired, real-time processing cannot be performed, and it takes time to display the final data (corrected) after the end of measurement.

Even if the location where the disturbance noise is generated does not coincide with the peak, if the disturbance noise is cut, the data of the cut portion will be approximated by a straight line based on the separated data. Differences from the data appear, making it impossible to accurately reproduce the image. That is, when there is a small peak in the cut portion or there is a change in the data value, the influence becomes remarkable.

Further, since the magnitude of the disturbance noise is not constant, it may be difficult to judge whether it is the peak due to the disturbance noise or the peak of the original measurement data, and the difference between the adjacent data values is simply checked. It cannot be accurately determined only by

The present invention has been made in view of the above background, and an object of the present invention is to solve the above-mentioned problems and remove disturbance noise in real time. An object of the present invention is to provide a correction device in an image processing device that can obtain accurate data even if peaks match.

[0011]

In order to achieve the above-mentioned object, in a correction device in an image processing device according to the present invention, a static image is given a plurality of times, and the plurality of image data are integrated and standardized. Provided in the image processing device for outputting a high-quality image, storage means for storing data based on the given image data, and the currently given image data,
Disturbance noise detection means for comparing the data stored in the storage means with each other to detect disturbance noise generated in the image data currently given, and disturbance noise detection means stored in the storage means when the disturbance noise occurs. Data correction means for making corrections based on the data.

[0012]

In the present invention, a plurality of still images are continuously sent. Then, each image data basically has the same content. Therefore, the disturbance noise detection means compares the present image data with the image data given in the past (for example, the previous time), and if there is a difference, it can be determined that disturbance noise may occur. If there is no fluctuation of the object to be imaged in the static image or fluctuation in the image processing system, it can be determined that the difference is a disturbance noise. Actually, there is some noise (small fluctuations other than disturbance noise), and since the disturbance noise is large, a predetermined margin is provided for the difference in order to eliminate malfunction. Then, in order to compare with the image data actually obtained, even if there is a place where the intensity or the like suddenly differs in one image data, it is accurately determined whether or not it is due to disturbance noise.

On the other hand, when it is determined that there is disturbance noise, the correction processing is performed using the image data (without disturbance noise) actually given in the past by the data correcting means, so the data obtained by the correction is It will be more accurate and more realistic.

[0014]

DESCRIPTION OF THE PREFERRED EMBODIMENTS A correction device in an image processing device according to the present invention will be described in detail below with reference to the accompanying drawings. FIG. 1 shows a block diagram of the preferred embodiment of the present invention. In this example, an example in which the image processing apparatus is mounted / connected to a Raman spectroscope and applied to detected spectrum data is shown.

As shown, the output of the CCD detector 11 provided in the Raman spectroscope 10 is converted into the A / D converter 1
After conversion to digital via 2, the first in storage device 13
Are stored in the storage unit 14. Since the CCD detector outputs data for N channels (measurement wavelength range), the first storage unit 14 also has a predetermined capacity for storing the data for N channels. In addition, CCD
The light intensity of each channel output from the detector 11 is output in a standardized state of 0 to 100% based on a preset reference light intensity (which is 100%). There is.

The storage device 13 includes first to third storage units 14
1 to 16, the first storage unit 14 stores the currently acquired measurement data as described above, and the second storage unit 1
5 stores the previously acquired measurement data (data after correction processing described later), and the third storage unit 16 stores the total sum of measurement data (after correction processing) from the start of measurement to the present. It has become. And each memory | storage part 14-16
Is configured by using a RAM in this example, and the second storage unit 1
The capacity of 5 is also equal to the storage capacity of the first storage unit 14 described above. Further, the capacity of the third storage unit 16 is set sufficiently large in consideration of the number of times of integration. On the other hand, each storage unit 1
The CPU 20 executes the data writing to the data 4 to 16 and the reading of the stored data.

The CPU 20, as shown in FIG.
The data stored in the first and second storage units 14 and 15 are read out, and the disturbance noise detection unit 21 that identifies the location where the disturbance noise is generated from the data and the output of the disturbance noise detection unit 21 are received and measured. The data correction unit 22 updates the data after performing a predetermined correction process for eliminating the influence of disturbance noise on the data. Furthermore, the predetermined data in the storage device 13 is read out, and addition processing is performed to store the integrated value up to the present in the third storage unit 16, and the data stored in the third storage unit 16 and It also has a spectrum data creation unit 26 for obtaining and outputting spectrum data to be displayed on the display device 25 at the next stage based on the number of times of integration (the number of times of data acquisition) up to the present. The spectrum data creating unit 26 is basically the same as the conventional one. Further, the CPU 20 is adapted to be input with the final number of times of integration and the like via an input device 27 such as a keyboard and a mouse. Although not shown, the buffer in the CPU 20 stores the given final integration number and the number of processing (integration) up to the present.

Next, each part will be described in detail. The disturbance noise detection unit 21 compares the currently measured data stored in the first storage unit 14 with the previous measurement data (corrected) stored in the second storage unit 15, and determines the difference. If ("current data"-"previous correction data") is large, it is determined that the influence of disturbance noise has occurred in the data measured this time. That is, in principle, the output (light intensity for the same wavelength) from the CCD detector 11 based on the same sample is always the same, and if there is a difference in light intensity, it can be determined that it is an influence of disturbance noise. . However, the measurement device itself or the emission spectrum from the sample itself fluctuates, and the measured data always fluctuates slightly (for this reason, the S / N is improved by measuring a predetermined number of times and averaging the measured values. However, in this example, a threshold value is set, and when the difference is equal to or greater than the threshold value, it is determined that disturbance noise has occurred.

However, in the case of the first measurement data, there is no comparison reference data, and also in the case of the second measurement data, the first measurement data is not corrected as described above, and therefore it is used. Therefore, the above principle cannot be applied as it is. Therefore, in this example, when the first and second data are acquired, both data are compared for each channel (wavelength), and the larger data is determined to be the influence of the disturbance noise. Even in this case, a predetermined threshold value is set, and if there is a difference equal to or larger than the threshold value, the smaller data is rewritten, and if the difference is less than the threshold value, the data is not updated. Is also good.

On the other hand, when the disturbance noise detector 21 determines that the disturbance noise has occurred, the data corrector 22 stores the measurement data of the location of the disturbance noise in the second memory 15. Make sure to replace it with the correct data after correction. That is, the data of the corresponding channel is read from the second storage unit 15 and stored in a predetermined area of the first storage unit 14 (data update).
I am trying to do it. In other words, when the disturbance noise does not occur, the currently measured data is used, and when the disturbance noise occurs, the correct correction data obtained last time is used (replaced).

Regarding the first and second data, if it is determined that there is disturbance noise, the two data are compared and the smaller data is replaced. As a result, the contents of the first and second correction data become the same. Then, in this example, in order to standardize the processing in each unit, the correction data is written only in the first storage unit 14.
However, the information transmission path is modified so that the first and second storage units 1
Of course, both 4 and 15 may be rewritten.

The disturbance noise detection section 21 and the data correction section 22 both perform predetermined processing for each channel. As a result, as described above, when there is no disturbance noise, the data correction unit 22 does not operate, and the data of that channel remains the measurement data. Further, in this example, the above-mentioned correction data stored in the first storage unit 14 can be transferred to the second storage unit 15 at a predetermined timing in preparation for the next measurement. Then, at this timing, the CPU 20 monitors the operation status and collectively executes the processing after the processing for all the channels is completed.

The integrating unit 23 reads out the data for each channel stored in the first storage unit 14 and the third storage unit 16 and adds them together, and the addition result is stored in the third storage unit 1.
6 is stored. For the first and second data addition processing, the corrected data stored in the first storage unit 14 is read, the read data is added twice (doubled), and the addition is performed. The result is the third
The data is stored in the storage unit 16. Note that the first
When the corrected data for the first and second measurements are stored in the second storage units 14 and 15, respectively, the corrected data is read from both storage units 14 and 15 and both are added. , The addition result is stored in the third storage unit 16
It may be stored in. In particular, when a predetermined threshold value is set when the first and second measurement data are compared as described above, both storage units 14, 1
Reading from 5 is required.

On the other hand, the spectrum data creating section 26 reads the accumulated data for each channel up to the present stored in the third storage section 16 and also obtains the cumulative number of times up to the present (from a counter in the CPU). By dividing the integrated data by the number of times of integration, the average light intensity for each wavelength so far is obtained. Since the obtained average light intensity is based on the corrected data, the influence of disturbance noise is removed. Then, the spectrum data is generated based on the obtained average light intensity and output to the display device 25.

Next, the operation of the above embodiment will be described. FIG. 2 is a flow chart for explaining the operation of the main part, and FIG. 3 is an explanatory diagram showing an example of the operation. In FIG. 2, the first storage unit 14 is referred to as RAM1, the second storage unit 15 is referred to as RAM2, and the third storage unit 16 is referred to as RA.
It is referred to as M3 (hereinafter the same). First, the number of times of integration is set using the input device 27, and measurement is started. Along with this, it is preferable to erase (initialize) the data in each of the first storage unit 14 to the third storage unit 16.

Then, the first measurement data supplied via the CCD detector 11 is stored in the second storage section 15 (S101). At this time, in practice, the signal transmission path may be switched and the data may be directly input to the second storage unit 15, or the measurement data may be sent once for the first time as in the second and subsequent processes. The data stored in the first storage unit 14 may be stored in the second storage unit 15 by operating the transfer function described above.

If the first measurement data is as shown in FIG. 3, the light intensity at each wavelength will be finally stored in the second storage section 15. In this example, Four peaks P11 to P14 appear.

Next, the second measurement data (in FIG. 3) is input to the first storage section 14 (S102). Then,
The data stored in the first storage unit 14 and the second storage unit 15 for each channel are sequentially sent to the disturbance noise detection unit 21, where the magnitude relation is obtained, and the data correction unit 22 determines the smaller value. As the correct one, the data is replaced and the data is stored in a predetermined storage unit. As a result, the peak P14 in FIG. 3 can be determined to be due to the disturbance noise, and the data stored in the first storage unit 14 at that portion is determined to be correct.

As a result, the finally obtained correction data is as shown by'in FIG. 3, and the relevant data is written in the first storage section 14. Further, the same data is stored in the second storage unit 15 after being transferred from the first storage unit 14. Further, the corrected data stored in the first storage unit 14 is sent to the integration unit 23, and the same value is added to double each value of the correction data, and the calculation result is stored in the third storage unit. It is stored in 16 (103).

In this example, in order to simplify and speed up the processing, if the data in the first storage unit 14 is larger,
The first storage unit 1 is rewritten with the data in the second storage unit 15.
When the data of 4 is smaller, the rewriting process is not performed. That is, even if the rewriting (correction) of the data for each channel on the second storage unit 15 side is not performed, if the correction processing is finally performed for all the channels, the correction for the first and second data is performed. Since the result will be the same, modify only the first storage unit 14 side,
This is because the same result can be obtained even after the transfer to the second storage unit 15 side.

Next, the measurement data of the third time is stored in the first storage unit 1.
4 (S104). Then, since the correction data of the previous time (second time) (the one from which the disturbance noise is removed) has already been stored in the second storage unit 15, the disturbance noise detection unit 21 stores the same as the first storage unit 14. The data in the second storage unit 15 is sequentially compared for each channel, and the difference is obtained. Then, the difference is a threshold value (preset)
It is determined whether or not it is larger (S105 to 107). If it is less than or equal to the threshold value, the process returns to step 105
Performs processing (disturbance noise detection) for the next channel.

On the other hand, when it is judged in the step 107 that the data is larger than the threshold value, the data correction section 22 corrects the data in the first storage section 14 of the channel (the second storage section). (Stored in 15) and the process returns to step 105.

If the third measurement data is as in the example shown in FIG. 3, the peak P34 is the second.
Since the threshold value is exceeded in comparison with the data of '(') stored in the storage unit 15 of the above, the peak 34 is replaced with the data of ', and the correction data as shown in' can get.

When the processing for all the channels is completed, steps 105 to 10
9, the current measurement data (after correction) is read from the first storage unit 14, the accumulated data up to the present time is read from the third storage unit 16, and the both are accumulated by the integrating unit 26. 3 in the storage unit 16. At the same time, the contents of the first storage unit 14 are transferred to the second storage unit 15, and the data is updated in preparation for the next data processing. Then, it is determined whether or not the number of times of integration has ended (S110),
If not completed, the process returns to step 104, and the above processing is performed on the measurement data input next. The CPU 20 makes this determination by itself.

In this way, the disturbance noise is sequentially removed in real time until the set number of times of integration is reached, and the data not affected by the disturbance noise is accumulated in the third storage unit 16. Become. Then, while performing each of the above processes, the spectrum data creation unit 26 reads the integrated data stored in the third storage unit 16, and
The spectrum data is generated by dividing the number of times of integration up to the present time, and the spectrum data is displayed on the display device 25. The spectrum data displayed in this way is accurate data without disturbance noise. Further, in this example, the presence or absence of disturbance noise is determined by comparing with the previous data, and the correction is performed each time, so that, for example, as shown in FIG. Even if there is a match, the correction data is replaced with the peak of the previous correction data (peak corresponding to P31) as shown in ′, so the peak is not canceled by the disturbance noise. .

That is, originally, the presence or absence of disturbance noise is determined by comparing with the previous data at the same location.
If the judgment can be made accurately and the disturbance noise is generated, the data is corrected based on the measurement data of the same location (wavelength) that is not affected by the disturbance noise already obtained by the measurement. Therefore, the obtained correction data is also very accurate, and the data measured each time can be effectively used. As a result, as shown in FIG. 4, spectrum data free from the influence of disturbance noise is obtained.

In the above embodiment, the data to be compared is the corrected data, but the present invention is not limited to this.
Raw data may be compared with each other. That is, it is very unlikely that disturbance noise will continuously occur at the same location, so if the current measurement data is larger than the previous measurement data (above the threshold value), it is determined that there is disturbance noise. The same effect can be obtained by replacing the previous data with the current data and leaving it unchanged.

However, in that case, since the data before correction is stored in the second storage unit 15, the first storage unit 14 is collectively subjected to the correction processing as in the above-described embodiment.
In order to transfer the data from the second storage unit 15 to the second storage unit 15, the output of the data correction processing unit 22 is once received, and then the integration unit 2
3 is provided, or the output of the disturbance noise detection unit 21 is sent to the data correction unit 22 regardless of the determination result, and the data stored in the first storage unit 14 before correction is subjected to noise. For each channel for which the presence / absence determination has been completed, the data is sequentially stored in the second storage unit 15, and if there is disturbance noise, the first storage unit 1 after the predetermined data correction is performed as described above.
It is necessary to change the configuration as appropriate, for example, to write data in No. 4.

The comparison target does not necessarily have to be the previous data (with or without correction), and the predetermined data before or after the previous data (with or without correction) or the data obtained so far. May be compared with the average value of, and the comparison target may be based on data that has already been (in the past) measured and obtained.

Furthermore, in the above-described embodiment, the step 10 of FIG.
As shown in FIG. 7, a predetermined threshold value is used as one of the judgment criteria, but the present invention does not necessarily have to provide such a threshold value. That is, the first storage unit 14 and the second storage unit 15 are compared, and if the first storage unit 14 is larger, it is determined that there is disturbance noise, and the data correction unit 22 causes the data in the first storage unit 14 to be stored. May be changed to that of the second storage unit 15. That is, particularly when used in a spectrophotometer as in this example, the fluctuation of the data becomes large at the place where the light intensity is small, the fluctuation near the peak is small, and finally the value of the peak is important as the data. And the generated wavelength.

FIG. 5 shows a second embodiment of the present invention. That is, in this embodiment, the block diagram is basically the same as that of the first embodiment shown in FIG. 1, but the function of the disturbance noise detection unit 21 is particularly shown in steps 205 to 208 in FIG. Have changed.

That is, in the above-mentioned first embodiment, the difference between the data in the first storage unit 14 and the data in the second storage unit 15 is calculated,
Although it is determined whether or not it is equal to or more than the threshold value, in this example, the change rate is used. Moreover, the threshold value that serves as a criterion is also appropriately changed according to its size.

That is, when the intensity is weak, the fluctuation of the signal itself is large. Therefore, the threshold value is made variable according to the intensity, and the smaller the intensity is, the larger the threshold value is. Then, specifically, in this example, the maximum measured data is 10
Since the standard value is standardized to 0%, if the given basic reference value is a% and the light intensity of the measurement data is I%, the threshold value A to be obtained is

[0044]

[Equation 1] I am trying.

Since the threshold value varies depending on the light intensity in this way, the disturbance noise detection unit calculates the threshold value based on the light intensity (S206), and then the previous data of this measurement data is calculated. Change rate (
"Data of storage unit 14" / "data of second storage unit 15)" (S207), and the presence or absence of disturbance noise is determined by whether or not the rate of change is greater than the calculated threshold value A. (S208).

When there is disturbance noise, the data correction unit performs the first storage unit 1 as in the first embodiment.
Data of No. 4 is replaced with the data of the second storage unit 15 (S209), and when the processing for all channels is completed, the data of the first storage unit 14 is transferred to the second storage unit 15. At the same time, the corrected data is added to the third storage unit 16 using the integrating unit (S210).
Is the same as in the first embodiment described above. Further, in the processing for the first and second data, it is unclear whether or not the light intensity of the measurement data at each part is correct (whether or not there is disturbance noise). Compare and replace with smaller data (S
201-204).

In this embodiment, the predetermined weighting is performed and the threshold value is increased or decreased. However, it goes without saying that the weighting method is not limited to the above-mentioned embodiment, and various methods are adopted. Moreover, the present invention does not necessarily need to perform weighting. Other configurations and effects are the same as those of the above-described embodiment and its modification, and therefore the description thereof is omitted.

Further, in each of the above-described embodiments, the correction processing in the data correction unit is replaced with the previous data, but the present invention is not limited to this, and the data is stored in the third storage unit 16, for example. The data may be replaced by the data obtained by planning the number of times of integration (average value up to the present time), and the specific correction process may be performed based on the data detected by the corresponding channel (wavelength). Any thing can be used.

Although each of the above-described embodiments has been applied to a spectrophotometer, the present invention is not limited to this, and can be applied to any image processing apparatus for static images. Of course. Further, the present invention is
The image pickup device used is not limited to the CCD detector.

[0050]

As described above, in the correction device in the image processing device according to the present invention, since a still image, that is, a plurality of pieces of image data having basically the same contents are sent, the disturbance noise detecting means. Thus, by comparing the current image data with the image data given in the past (for example, the previous time), it is possible to easily and accurately determine the presence or absence of disturbance noise in real time. If it is determined that there is disturbance noise, the correction processing is performed using the image data (without disturbance noise) actually given in the past by the data correction means, so the data obtained by the correction is more realistic. You can get an accurate one close to that of. Therefore, the disturbance noise can be removed in real time, and accurate data can be obtained even if the location where the disturbance noise occurs and the peak match.

[Brief description of drawings]

FIG. 1 is a block configuration diagram showing a first embodiment of a correction device in an image processing device according to the present invention.

FIG. 2 is a flowchart illustrating the operation (function of each unit).

FIG. 3 is a diagram illustrating an operation.

FIG. 4 is a diagram showing an example of spectrum data obtained as a result of correction.

FIG. 5 is a flowchart diagram corresponding to FIG. 2 according to a second embodiment of the present invention.

FIG. 6 is a diagram illustrating an influence of disturbance noise.

FIG. 7 is a diagram illustrating a conventional example.

[Explanation of symbols]

 11 CCD detector 13 Storage device 14 First storage unit 15 Second storage unit 16 Third storage unit 21 Disturbance noise detection unit 22 Data correction unit 23 Integration unit 26 Spectral data creation unit

Claims (9)

[Claims] 1. An image processing apparatus for receiving a still image a plurality of times, integrating and standardizing the plurality of image data, and outputting a high quality image, storage means for storing data based on the given image data. A disturbance noise detecting means for comparing the presently applied image data with the data stored in the storage means to detect disturbance noise occurring in the presently applied image data; and the disturbance noise occurring. In this case, the correction device in the image processing device, comprising: a data correction unit that corrects based on the data stored in the storage unit. 2. The correction device in an image processing apparatus according to claim 1, wherein the static image is provided from a CCD detector mounted as a detector of a spectrophotometer. 3. The correction device in an image processing apparatus according to claim 1, wherein the correction processing for the first and second image data is performed by comparing both data and using the smaller data as the correction data. . 4. The disturbance noise detecting means compares the current measurement data with the previous measurement data, and determines that there is disturbance noise when the current measurement data is larger. A correction device in any one of the image processing devices. 5. The disturbance noise detection means compares the current measurement data with the previous measurement data, and determines that there is disturbance noise when the current measurement data is larger than a predetermined threshold value. A correction device in the image processing device according to claim 1. 6. The disturbance noise detection means compares the current measurement data with the previous measurement data, and determines that there is disturbance noise when the rate of change is larger than a predetermined threshold value. Correction device in the image processing device according to any one of 1 to 3 7. A correction apparatus in an image processing apparatus according to claim 6, wherein the threshold value of the rate of change is weighted so that the threshold value is increased when the intensity of the measured image data is small. 8. The data correcting means according to claim 1, wherein the data of the disturbance noise occurrence point in the current image data is replaced with the data stored a predetermined number of times before stored in the corresponding storage means. A correction device in any one of the image processing devices. 9. The storage means has an area for storing the image data given a predetermined number of times before and the average or sum of the image data given up to the present time. The disturbance noise detection means is operated based on the data correction means, and the data of the disturbance noise occurrence point in the current image data is standardized based on the image data given to the present time stored in the storage means. The correction device in the image processing device according to claim 1, wherein the correction device replaces the corrected data.