CN113010996B - Method and system for extracting radon concentration abnormity based on entropy-median filtering in sub-region - Google Patents
Method and system for extracting radon concentration abnormity based on entropy-median filtering in sub-region Download PDFInfo
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Abstract
A method for extracting a soil radon concentration abnormal region based on information entropy-subregion median liner value filtering relates to the technical field of uranium mine resource exploration, combines information entropy and subregion median liner value filtering image processing technology, constructs a functional relation model, determines parameter values of large and small windows according to the functional relation model, uses large and small windows corresponding to the parameter values to perform subregion median liner value filtering processing on a soil radon concentration contour map, and extracts a corresponding soil radon concentration abnormal region according to a subregion median liner value filtering result; the invention also provides a system for extracting the soil radon concentration abnormal region based on the information entropy-median liner value filtering in the subarea. The method avoids the problem that the result of processing the subzone median value filtering data is uncertain due to human experience factors, ensures the accuracy of the subzone median value filtering on identifying abnormal areas, and can provide valuable reference basis for delineating the exploration position and the mineralization range of the uranium mine.
Description
Technical Field
The invention relates to the technical field of uranium mine exploration, in particular to a method and a system for extracting a soil radon concentration abnormal region based on information entropy-median liner value filtering in a subregion.
Background
Along with the increase of the specific gravity of nuclear energy in an energy structure, the demand on uranium resources is larger and larger, and the exploration and development of uranium ore resources are promoted.
The sub-region median value filtering method is a chemical exploration data processing method which is established on the basis of an Electronic Design Automation (EDA) technology and a filtering technology and is used for extracting abnormal information without processing original data, and is commonly used for extracting geochemical weak and small abnormal conditions of metal deposits such as 1:20 ten thousand and 1:5 ten thousand. It should be noted that the requirement of data processing by the sub-region median value filter method (SAMCF) is high for the work experience, for example, in the current work practice, the parameter selection of the large and small windows of the sub-region median value filter method is largely based on the experience of the staff, the distribution ranges of the positive and negative anomalies obtained by the sub-region median value filter method under different large and small window conditions are different, and the anomaly information extraction region has uncertainty.
Disclosure of Invention
One of the purposes of the invention is to provide a method for extracting a soil radon concentration abnormal region based on information entropy-median lining value filtering in a sub-region, so as to solve the problem of uncertainty in the abnormal information extraction region caused by selection of large and small window parameters depending on work experience.
In order to solve the technical problems, the invention adopts the following technical scheme: the method for extracting the soil radon concentration abnormal region based on the information entropy-median liner value filtering in the sub-region determines the parameter ratio of a large window to a small window in the median liner value filtering in the sub-region according to the following formula:
S(m/n)|min＝∫m/n(-1)×P(i)×lnP(i) (1)；
in the formula (1), m is the parameter value of the large window, n is the parameter value of the small window, m/n is the parameter ratio of the large window and the small window, S (m/n) & gtYminIs the sub-area corresponding to the large and small window with the parameter ratio of m/nP (i) is the probability of the i-th level gray level after graying of the median lining value filtering image in the corresponding sub-region under the condition that the parameter value of the large window is m and the parameter value of the small window is n;
determining parameter values of a large window and a small window according to the parameter ratio determined by the formula (1), performing median lining value filtering treatment on the soil radon concentration contour map in the subareas by using the large window and the small window corresponding to the parameter values, and extracting corresponding soil radon concentration abnormal areas according to filtering results of the median lining values in the subareas.
Further, the method also comprises the step of measuring the soil radon concentration to form a soil radon concentration contour map.
Furthermore, the method also comprises the steps of performing sub-region median lining value filtering on the soil radon concentration contour map by adopting a large window with a parameter value of m and a small window with a parameter value of n, and performing graying on the sub-region median lining value filtering results.
Further, after the corresponding sub-region median substrate value filtering result is grayed, the method also comprises the step of determining the i-th gray level occurrence probability of the sub-region median substrate value filtering image after graying.
Further, the i-th gray level occurrence probability of the filtered image with the median liner value in the corresponding sub-area is determined according to the following formula:
P(i)＝N(i)/N (2)；
in the formula (2), p (i) is the probability of the i-th gray level after the median-value filtered image in the sub-region is grayed; n (i) is the total times of the ith gray level after the median lining value filtering image graying in the subarea appears; and N is the total number of pixels of the grayed median contrast value filtering image in the sub-area.
Based on the method for extracting the soil radon concentration abnormal region, the invention also provides a system for extracting the soil radon concentration abnormal region based on information entropy-median liner value filtering in the sub-region, the technical scheme is as follows, and the system comprises:
the parameter determining unit calculates the parameter ratio of the large window and the small window in the median liner value filtering in the subarea according to the following formula (1), and determines the parameters of the large window and the small window according to the calculated parameter ratio:
S(m/n)|min＝∫m/n(-1)×P(i)×lnP(i) (1)；
in the formula (1), m is the parameter value of a large window, n is the parameter value of a small window, m/n is the parameter ratio of the large window and the small window, S (m/n) isminThe minimum information entropy value of the median liner value filtering image in the corresponding sub-area when the parameter ratio of the large window and the small window is m/n, and P (i) is the probability of the i-th gray level of the median liner value filtering image in the corresponding sub-area after the graying under the condition that the parameter value of the large window is m and the parameter value of the small window is n.
And the image processing unit is used for performing sub-region median lining value filtering processing on the soil radon concentration contour map by using the large window and the small window corresponding to the parameters according to the large window parameter and the small window parameter determined by the parameter determining unit and outputting a sub-region median lining value filtering result.
And the abnormal region extraction unit is used for extracting a corresponding soil radon concentration abnormal region from the filtering result of the median lining value in the subarea output by the image processing unit.
The image processing unit is also used for performing sub-zone median liner value filtering processing on the soil radon concentration contour map by adopting a large window with the parameter value of m and a small window with the parameter value of n and performing graying processing on the corresponding sub-zone median liner value filtering result.
The parameter determining unit is also used for determining the probability of the i-th gray level after the gray level of the filtered image of the median substrate value in the sub-area is grayed after the image processing unit performs graying processing on the filtered result of the median substrate value in the sub-area.
The parameter determining unit determines the i-th level gray degree occurrence probability of the corresponding sub-region after the filtering image of the median liner value is grayed according to the following formula:
P(i)＝N(i)/N (2)；
in the formula (2), P (i) is the probability of the i-th level gray level after the median-value filtering image in the subarea is grayed; n (i) is the total number of times of the i-th level gray level after the median lining value filtering image graying in the subarea; and N is the total number of pixels of the grayed median filtered image in the subarea.
The invention has the following beneficial effects: the method comprises the steps of regarding the whole measurement area as an information source for providing multivariate information, combining information entropy with a subarea median lining value filtering image processing technology, constructing a function relation model of the ratio of large and small windows in subarea median lining value filtering and image entropy, calculating the parameter ratio of the optimal large and small windows in the subarea median lining value filtering through the function relation model, and determining the parameter values of the large and small windows in the subsequent subarea median lining value filtering processing.
Drawings
FIG. 1 is a contour map of radon concentration in soil in a measurement area;
FIG. 2 is a filtering result of median liner values in soil radon concentration sub-regions of a measurement region under different window parameters in the embodiment;
FIG. 3 is a diagram illustrating different difference methods versus image entropy in an embodiment;
FIG. 4 is a grid graph of radon concentration in soil under different difference methods in the embodiment;
FIG. 5 is a diagram of the entropy relation between the large and small window parameter ratios and the image information in the embodiment.
Detailed Description
In order to facilitate understanding of those skilled in the art, the present invention will be further described with reference to the following examples and drawings, which are not intended to limit the present invention.
Compared with the prior art, the method is mainly characterized in that the whole measurement area is taken as an information source for providing multivariate information, the information entropy is combined with the image processing technology of median substrate value filtering in the subareas, a functional relation model of the ratio of large and small windows in the median substrate value filtering in the subareas and the image entropy is constructed, the parameter ratio of the optimal large and small windows in the median substrate value filtering in the subareas is calculated through the functional relation model, and the parameter values of the large and small windows in the subsequent filtering processing of the median substrate value in the subareas are determined, so that the problem that the processing result of the median substrate value filtering data in the subareas is uncertain due to human experience factors is solved.
The following is a detailed description of the above-described improvements.
Different from the prior art, the method for extracting the radon concentration abnormal region of the soil based on the information entropy-median liner value filtering in the sub-region determines the parameter ratio of a large window and a small window in the median liner value filtering in the sub-region according to the following formula:
S(m/n)|min＝∫m/n(-1)×P(i)×lnP(i) (1)；
in the above formula (1), m is the parameter value of the large window, n is the parameter value of the small window, m/n is the parameter ratio of the large window and the small window, S (m/n) isminP (i) is the minimum information entropy value of a median liner value filtering image in a sub-region corresponding to the condition that the parameter ratio of a large window and a small window is m/n, and P (i) is the probability of the i-th level gray level of the corresponding median liner value filtering image in the sub-region after graying under the condition that the parameter value m of the large window and the parameter value of the small window are n; and then determining parameter values of a large window and a small window according to the parameter ratio determined by the formula (1), performing sub-region median liner value filtering treatment on the soil radon concentration contour map by using the large window and the small window corresponding to the parameter values, and finally extracting a corresponding soil radon concentration abnormal region according to a sub-region median liner value filtering result.
The general idea of the scheme for extracting the radon concentration abnormal region based on the information entropy-median liner value filtering in the subarea is as follows: the method is the same as the filtering method of the median liner value in the existing sub-area, firstly, a measuring area needs to be defined, the soil radon concentration of the area needs to be measured, and a soil radon concentration contour map of the measuring area needs to be formed. Then, a plurality of groups of large and small windows (the large window parameter is m multiplied by m, the small window parameter is n multiplied by n) with different parameter ratios are adopted for carrying out sub-region median liner value filtering processing on the soil radon concentration contour map, carrying out graying processing on the corresponding sub-region median liner value filtering result, and further determining the probability of the i-th gray level after graying of the corresponding sub-region median liner value filtering image.
The ith gray level is determined according to actual exploration requirements, specifically, the probability of occurrence of the ith gray level after the median liner value filtering image graying in the sub-area is calculated by the following formula, wherein p (i) ═ N (i)/N; wherein, P (i) is the probability of the i-th level gray level after the median filter image in the subarea is grayed; n (i) is the total number of times of the i-th level gray level after the median lining value filtering image graying in the subarea; and N is the total number of pixels of the grayed median contrast value filtering image in the sub-area.
Then, calculating the image information entropy value when the parameter ratio of the large window and the small window is m/n and the probability of the i-th level gray level after the gray level of the filtering image of the median lining value in the corresponding sub-area is grayed is P (i) by referring to a functional relation model of the formula (1), determining the optimal parameter ratio of the large window and the small window (when the image information entropy value is minimum) according to the relation between the image information entropy value and the parameter ratio m/n of the large window and the small window, and further determining the parameter values of the large window and the small window. And then, performing sub-region median lining value filtering treatment on the soil radon concentration contour map again by using large and small windows corresponding to the parameter values, and outputting a final sub-region median lining value filtering result.
And finally, extracting a corresponding soil radon concentration abnormal region from the final median liner value filtering result of the sub-region. It should be noted that, in the present invention, the manner of extracting the soil radon concentration abnormal region from the median lining value filtering result in the sub-region is not substantially changed compared with the prior art, and for simplifying the description, the content of this part is not repeated.
The invention is further explained by combining a specific example, firstly, an area with the length of 8km and the width of 7.5km is defined as a measuring area, then, an electrostatic collection method RAD7 type alpha energy spectrum radon detector is adopted to measure the field soil radon concentration in the measuring area, the measuring line distance is 500m, the measuring point distance is 100m, and the soil depth is 70cm, so that a soil radon concentration contour map as shown in figure 1 is formed.
The sub-region median-value filtering method is developed on the basis of an EDA (exploration data analysis) technology and a filtering technology, is a chemical exploration data processing method which is based on robust statistics and does not need to process original data to extract abnormity, and has the following formula:
Fu＝Qu+1.5Sh
F1＝Q1-1.5Sh
CF，P＝MWc/Fu
CF，N＝MWc/F1
in the formula: fuRepresents the lower limit of the abnormal point; f1Representing an upper limit of the abnormal point; quRepresents the upper 4 minutes; q1Denotes the lower 4 min points, ShIndicating the internal divergence. When C isF，PIf the value is more than 1, the value is positive abnormity; when C isF，N<1, this is a negative exception.
Firstly, a plurality of groups of large and small windows (the parameters of the large windows are 6 multiplied by 6 and 9 multiplied by 9, and the parameters of the small windows are 2 multiplied by 2 and 3 multiplied by 3) with different parameter ratios are adopted to carry out sub-region median lining value filtering treatment on the soil radon concentration contour map shown in figure 1, and graying treatment is carried out on corresponding sub-region median lining value filtering results to obtain sub-region median lining value filtering results shown in figure 2, and when the large window is smaller than 9 multiplied by 9, the sub-region median lining value filtering results have strong map amplitude boundary benefit; when the small window is increased, the abnormal area identified by the digital lining value filtering junction in the sub-area is generally reduced. When a small window of 3 multiplied by 3 and a large window of 9 multiplied by 9 are adopted, the median filter of the subzones identifies the west and southwest positive anomalies of the measuring zone at 7, and when a small window of 2 multiplied by 2 and a large window of 9 multiplied by 9 are adopted, the median filter of the subzones identifies the west and southwest positive anomalies of the measuring zone at 8. According to the analysis of the large window and the small window which adopt different parameter ratios, the relation between the range of the positive abnormal signal in the filtering of the median lining value in the subarea and the distribution of the mineral deposit on the space is found.
Then, determining the i-th gray level occurrence probability of the filtered image with the median liner value in the corresponding sub-area after graying, and calculating according to the following formula: p (i) ═ N (i)/N; wherein, P (i) is the probability of the i-th level gray level after the median filter image in the subarea is grayed; n (i) is the total number of times of the i-th level gray level after the median lining value filtering image graying in the subarea; and N is the total number of pixels of the grayed median filtered image in the subarea. When all the images are grayed, the probability distribution of the pixel points is the sameWhen the image is farthest away from the focus, the image is most blurred, and the image entropy value is maximum; otherwise, the entropy value of the image is minimum, and the image is clearest[19]。
Then, establishing a relation graph of large and small window parameters and information entropy values by different difference methods, wherein four interpolation methods of Linear, Cubic, Neareast and V4 are commonly used in Gridata, as shown in FIG. 3, it can be seen from the graph that when the ratio of the large and small window parameters is small, the information entropy values are discrete and have local differences; the information entropy deviation is not large along with the increase of the ratio of the large window parameter to the small window parameter; and then, rasterizing the soil radon concentration contour map under the difference method of Cubic, Linear, nerest and V4 to obtain a soil radon concentration grid map as shown in figure 4.
Then, constructing a functional relation model of the parameter ratio of the large window and the small window and the image information entropy as shown in a formula (1);
S(m/n)|min＝∫m/n(-1)×P(i)×lnP(i) (1)；
calculating the image information entropy value when the parameter ratio of the large window and the small window is m/n and the probability of the occurrence of the i-th level gray after the filtering image graying of the median lining value in the corresponding sub-region is P (i) through the functional relation model, determining the optimal parameter ratio of the large window and the small window (when the image information entropy value is minimum) according to the relation between the image information entropy value and the parameter ratio m/n of the large window and the small window, and further determining the parameter values of the large window and the small window; then, performing sub-region median lining value filtering treatment on the soil radon concentration contour map again by using large and small windows corresponding to the parameter values, and outputting a final sub-region median lining value filtering result; and finally, extracting a corresponding soil radon concentration abnormal region from the final median liner value filtering result of the sub-region.
By combining the analysis of fig. 2 and fig. 5, it is found that in the initial section of the parameter ratio of the size window in fig. 5, the information entropy of the image has a low value, but the change range of the information entropy is large, and exhibits periodic changes of many periods, and the stability is poor. However, fig. 2 shows that when the windows are small, 2 × 2 and 3 × 3, and the window is large, 6 × 6, the median liner value filtering results in the sub-regions have obvious boundary benefit in the northeast region of the measurement region, i.e., a "false positive abnormal" region. In general, the ratio of the information entropy of the measuring area to the parameter of the optimal large window and the optimal small window of the filtering of the median liner value in the sub-area is 15-20.
In conclusion, the information entropy value in the measurement area information entropy-median liner value filtering model in the sub-area is 2.5-3.6, the image information entropy value periodically fluctuates along with the large and small window parameters, and the overall change rule of a 'periodic fluctuation-concave type' polynomial is presented along with the parameter ratio of the large and small windows. When the parameter ratio of the size window is smaller or too large, the information entropy-median liner value filtering image information entropy value in the sub-area is large, the reliability of the filtering result of the median liner value in the sub-area is reduced, the parameter ratio of the median liner value filtering size window in the optimal area of the measuring area is 15-20, and the image information entropy value is minimum; and finally, the western abnormal region of the measuring region is shown as a favorable region for deep uranium resource exploration in the region through the result of the minimum information entropy-median liner value filtering image in the sub-region.
It should be noted that, in the present invention, the manner of extracting the soil radon concentration abnormal region from the median lining value filtering result in the sub-region is not substantially changed compared with the prior art, and for simplifying the description, the contents of this part are not described again.
Based on the method for extracting the soil radon concentration abnormal region, a system for extracting the soil radon concentration abnormal region based on information entropy-median liner value filtering in the subarea can be provided, and the system comprises the following steps:
the parameter determining unit is used for calculating the parameter ratio of the large window and the small window in the median liner value filtering in the subarea according to the following formula (1) and determining the parameters of the large window and the small window according to the calculated parameter ratio:
S(m/n)|min＝∫m/n(-1)×P(i)×lnP(i) (1)；
in the formula (1), m is the parameter value of a large window, n is the parameter value of a small window, m/n is the parameter ratio of the large window and the small window, S (m/n) isminThe value is the minimum information entropy value of the median liner value filtering image in the corresponding sub-area when the parameter ratio of the large window and the small window is m/n, and P (i) is the probability of the i-th level gray level after the corresponding sub-area median liner value filtering image is grayed under the condition that the parameter value of the large window is m and the parameter value of the small window is n.
And the image processing unit is used for performing sub-region median lining value filtering processing on the soil radon concentration contour map by using the large window and the small window corresponding to the parameters according to the large window parameter and the small window parameter determined by the parameter determining unit and outputting a sub-region median lining value filtering result.
And the abnormal region extraction unit is used for extracting a corresponding soil radon concentration abnormal region from the filtering result of the median liner value in the sub-region output by the image processing unit.
The image processing unit is also used for carrying out sub-region median lining value filtering processing on the soil radon concentration contour map by adopting a large window with a parameter value of m and a small window with a parameter value of n and carrying out graying processing on corresponding sub-region median lining value filtering results.
The parameter determining unit is also used for determining the occurrence probability of the i-th level gray level after the gray level of the sub-region median liner value filtering image is grayed after the image processing unit carries out graying processing on the sub-region median liner value filtering result.
The parameter determining unit determines the i-th level gray degree occurrence probability of the corresponding sub-region after the filtering image of the median liner value is grayed according to the following formula:
P(i)＝N(i)/N (2)；
in the formula (2), P (i) is the probability of the i-th level gray level after the median-value filtering image in the subarea is grayed; n (i) is the total number of times of the i-th level gray level after the median lining value filtering image graying in the subarea; and N is the total number of pixels of the grayed median filtered image in the subarea.
It should be understood by those skilled in the art that the system for extracting the abnormal region of radon concentration in soil based on the entropy-median liner value filtering can be packaged in a computer software system and stored in a storage device to be executed by a computing device, and the present invention is not limited to a specific combination of hardware and software.
The method is characterized in that the whole measurement area is taken as an information source for providing multivariate information, the information entropy is combined with the sub-area median liner value filtering image processing technology, a functional relation model of the ratio of large and small windows in the sub-area median liner value filtering and the image entropy is constructed, the parameter ratio of the optimal large and small windows in the sub-area median liner value filtering can be calculated through the functional relation model, and the large and small window parameter values in the subsequent sub-area median liner value filtering processing are determined.
The above embodiments are preferred implementations of the present invention, and besides, the present invention can be implemented in other ways, and any obvious substitutions without departing from the concept of the present invention are within the protection scope of the present invention.
Some of the drawings and descriptions of the present invention have been simplified to facilitate the understanding of the improvements over the prior art by those skilled in the art, and some other elements have been omitted from this document for the sake of clarity, and it should be appreciated by those skilled in the art that such omitted elements may also constitute the subject matter of the present invention.
Claims (9)
1. The method for extracting the soil radon concentration abnormal region based on the information entropy-median liner value filtering in the sub-region is characterized in that the parameter ratio of a large window to a small window in the median liner value filtering in the sub-region is determined according to the following formula:
S(m/n)|min＝∫m/n(-1)×P(i)×lnP(i) (1)；
in the formula (1), m is the parameter value of a large window, n is the parameter value of a small window, m/n is the parameter ratio of the large window and the small window, S (m/n) isminP (i) is the minimum information entropy value of a median liner value filtering image in a sub-region corresponding to the condition that the parameter ratio of a large window and a small window is m/n, and P (i) is the probability of the i-th level gray level of the corresponding median liner value filtering image in the sub-region after graying under the condition that the parameter value of the large window is m and the parameter value of the small window is n;
determining parameter values of a large window and a small window according to the parameter ratio determined by the formula (1), using the large window and the small window corresponding to the parameter values to conduct filtering processing on the soil radon concentration contour map to obtain a sub-region median liner value, and extracting a corresponding soil radon concentration abnormal region according to the filtering result of the sub-region median liner value.
2. The method for extracting the radon concentration abnormal region in the soil based on the information entropy-median liner value filtering in the subarea according to claim 1, which is characterized in that: the method also comprises the step of measuring the soil radon concentration and forming a soil radon concentration contour map.
3. The method for extracting the radon concentration abnormal region in the soil based on the information entropy-median liner value filtering in the subarea according to claim 1, which is characterized in that: and the method also comprises the steps of performing median lining value filtering processing on the soil radon concentration contour map in the subarea and performing graying processing on the median lining value filtering result in the subarea by adopting a large window with the parameter value of m and a small window with the parameter value of n.
4. The method for extracting radon concentration abnormal regions in soil based on information entropy-median liner value filtering in subareas according to claim 3, which is characterized by comprising the following steps of: after the corresponding sub-area median substrate value filtering result is grayed, the method also comprises the step of determining the occurrence probability of the i-th level gray level after the sub-area median substrate value filtering image is grayed.
5. The method for extracting the radon concentration abnormal region in the soil based on the information entropy-median liner value filtering in the subarea as claimed in claim 4, wherein: determining the i-th level gray degree occurrence probability of the grayed image of the corresponding median liner value filtering image in the subarea according to the following formula:
P(i)＝N(i)/N (2)；
in the formula (2), P (i) is the probability of the i-th level gray level after the median-value filtering image in the subarea is grayed; n (i) is the total number of times of the i-th level gray level after the median lining value filtering image graying in the subarea; and N is the total number of pixels of the grayed median contrast value filtering image in the sub-area.
6. System for extracting soil radon concentration abnormal region based on information entropy-median lining value filtering in subregion, its characterized in that includes:
the parameter determining unit calculates the parameter ratio of the large window and the small window in the median liner value filtering in the subarea according to the following formula (1), and determines the parameters of the large window and the small window according to the calculated parameter ratio:
S(m/n)|min＝∫m/n(-1)×P(i)×lnP(i) (1)；
in the formula (1), m is the parameter value of the large window, n is the parameter value of the small window, m/n is the parameter ratio of the large window and the small window, S (m/n) & gtYminP (i) is the minimum information entropy value of a median liner value filtering image in a corresponding sub-area when the parameter ratio of a large window and a small window is m/n, and P (i) is the probability of the i-th level gray level after the corresponding median liner value filtering image in the sub-area is grayed under the condition that the parameter of the large window is m and the parameter of the small window is n;
the image processing unit is used for making a sub-region median liner value filtering treatment on the soil radon concentration contour map by using the large window and the small window corresponding to the parameters according to the large window parameter and the small window parameter determined by the parameter determination unit and outputting a sub-region median liner value filtering result;
and the abnormal region extraction unit is used for extracting a corresponding soil radon concentration abnormal region from the filtering result of the median lining value in the subarea output by the image processing unit.
7. The system for extracting radon concentration abnormal regions in soil based on the information entropy-median liner value filtering in the subareas as claimed in claim 6, wherein: the image processing unit is also used for carrying out sub-region median lining value filtering processing on the soil radon concentration contour map by adopting a large window with a parameter value of m and a small window with a parameter value of n and carrying out graying processing on corresponding sub-region median lining value filtering results.
8. The system for extracting radon concentration abnormal regions in soil based on the information entropy-median liner value filtering in the subareas as claimed in claim 7, wherein: the parameter determining unit is also used for determining the probability of the i-th gray level after the gray level of the filtered image of the median substrate value in the sub-area is grayed after the image processing unit grays the filtered result of the median substrate value in the corresponding sub-area.
9. The system for extracting radon concentration anomaly region in soil based on information entropy-median liner value filtering in subareas according to claim 8, characterized by: the parameter determining unit determines the i-th level gray degree occurrence probability of the grayed median liner value filtering image in the corresponding sub-area according to the following formula:
in the formula (2), P (i) is the probability of the i-th level gray level after the median-value filtering image in the subarea is grayed; n (i) is the total times of the ith gray level after the median lining value filtering image graying in the subarea appears; and N is the total number of pixels of the grayed median contrast value filtering image in the sub-area.
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