KR20160049305A - Method for detecting target material by spectral mixture analysis of hyperspectral image - Google Patents
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Abstract
Description
The present invention relates to a method for detecting a target substance using a hyperspectral image, and more particularly, to a method for detecting a target substance using a hyperspectral image, To a method for detecting a target substance.
In addition, the present invention solves the problems of the prior art target material detection methods in which target materials other than the targeted target material are mistakenly detected as a target material or target materials smaller in size than the pixel size are often not detected The present invention relates to a method for detecting a target material by spectroscopic mixture analysis of an ultraspectral image configured to accurately detect only a target material with little or no false detection regardless of its size.
Generally, a hyperspectral image is an image photographed in the air using a satellite or an aircraft. The hyperspectral image has a wavelength range of about 400 to 2500 nm, a wavelength of about 10 nm, and tens to hundreds of bands ), It is widely used in the field of remote sensing for the distribution of specific substances, target detection, and detection of a gastrointestinal body.
In addition, spectral mixture analysis using ultrasound images is an analytical technique that can utilize a wide range of spectroscopic information including ultraspectral image data, using pure spectral signatures inherent in the material And quantitatively analyzes the coating material and the abundance fraction of each material with respect to the area occupied by one pixel.
In order to perform this spectral mixing analysis, it is necessary to provide information on the spectral reflectance characteristics inherent to the coating materials existing in the image data region, that is, an endmember, (Image endmember), and a method using a spectral library (library endmember) which is constructed by measuring the spectral reflectance of a variety of materials in a laboratory or a field. .
Here, the spectroscopic library is a database which collects spectral reflectance data for various materials present on the surface, has a wavelength range of about 1 to 10 nm in a wavelength range of 400 to 2500 nm, and is measured at a near distance from the ground. Although it is widely used as reference data for comparison and characterization of materials due to its advantage of low noise, there is a problem that the acquisition environment of ultra-spectral image data using airplanes or satellites is different from that of a laboratory or a field for measuring reflection characteristics in spectral library construction And information about which materials are coated with a given image.
In addition, since the image endmember is directly extracted from the image, it can be directly used for analysis of spectroscopic mixture. Therefore, it is used for analyzing most ultrasound image data. However, There is a problem that there may be no pixel covered purely with a single material, and that the extracted end member has to confirm the spectral characteristic for a certain material through an additional operation.
That is, as an example of the conventional technique for the above-described analytical method using the ultrasound image and the spectroscopic library as described above, for example, as disclosed in Korean Patent Registration No. 10-1414045, "spectroscopic library data and input ultrasound A method of detecting a target using ultrasound image based on a pyramid technique based index and query "as disclosed in Korean Patent Registration No. 10-1361094.
More specifically, the target detection method using the spectroscopic library data and the inputted ultrasound image presented in the above-mentioned Japanese Patent Application Laid-Open No. 10-1414045 is a method for detecting an ultrasound image based on a preset number of dimension reduction, Classifying the material using a K-Means clustering method based on a variation amount of reflectance between a predetermined number of bands, separating the material into a plurality of groups having bands of the spectral data, using the k-nearest neighbor algorithm to extract k candidates and detecting the target based on the dimensionally reduced spectral library data of the extracted candidate and the reduced size data of the input hyperspectral image, Spectroscopic library data that can acquire a high detection rate using a superimposed spectroscopic image The present invention relates to an enemy detection method.
Furthermore, the method for detecting substances in hyperspectral images through the pyramid technique-based index and query presented in the above-mentioned Japanese Patent Laid-Open No. 10-1361094 includes a step of preprocessing the spectral data in the spectral library using differential spectroscopy, Generating a key value from the material data extracted from the ultrasound spectral image, and generating a key value of spectral data similar to the key value of the material data in the index Extracting a candidate material from the spectroscopy library by performing a query according to a specific query algorithm within a predetermined extraction range based on the position of the candidate after moving to the position; Filtering other materials in the material; The present invention relates to a pyramidal technique-based index and a method for detecting a substance in an ultrasound image through querying, which can reduce search time and extract candidates with high accuracy, thereby improving the accuracy of substance search.
As an example of a conventional technique for extracting the end member described above, there is a method of extracting an end member of an ultra-spectroscopic image as disclosed in Korean Patent Registration No. 10-1425159, There is a "method for estimating the number of optimal end member numbers of superscritical images as shown in Japanese Patent No. 10-1281873 ".
More specifically, an end member extraction method of the ultrasound image disclosed in the above-mentioned Japanese Patent No. 10-1425159 includes a preprocessing step of compressing the ultrasound image data and setting the number of initial end members; An initial setting step of calculating the volume of the group by using the initial end members as initial values of the end member set; An end member searching step of calculating the volume of a group by sequentially replacing the elements of the end member set with respect to all the pixels of the image and extracting the corresponding end member element with the spectral characteristic value of the pixel when the volume increases; An error image analyzing step of obtaining an error image by applying linear spectral mixing analysis using the extracted end member and obtaining a sum of errors of all pixels; And a determination step of repeating the end member search step and the error image analysis step while increasing the number of end members by one and stopping repetition when the sum of errors increases and outputting the end member of the previous step as a final result To an end member extraction method of an ultrasound image capable of efficiently extracting an end member for spectroscopic mixture analysis of an ultraspectral image.
In addition, the method for estimating the optimum number of end members of the superspectral image disclosed in the above-mentioned Japanese Patent No. 10-1281873 comprises: a pre-processing step for performing a pre-processing for estimating an optimal end member in an ultrasound image; An initialization step of initializing data of the ultrasound spectral image processed in the preprocessing step; An end member estimating step of repeating the processing of the initialization step for all the pixels to determine the optimal number of end members of the hyperspectral image; An error analysis step of calculating an error by spectral pure calculation using an average spectrum of the ultrasonic image obtained in the pre-processing step and comparing the error with a previous error; And an iterative step of repeating the process of completing the process according to the comparison result of the error analysis step or returning to the end member estimation step, thereby complicating the process due to complication of the system and a problem The present invention solves the problem of endmember extraction methods of conventional ultrasound spectra, and estimates the number of optimal endmembers required for an algorithm for spectral unmixing of ultrasound images at high speed To a method for estimating the number of optimal end members of an ultrasound image.
As described above, there have been proposed studies on an analysis method using an ultrasound image and a spectroscopic library, and a method for extracting an end member, but the conventional methods have the following problems.
More specifically, currently, most ultrasound imaging studies have been conducted in the field of image processing such as effective band extraction, preprocessing, target detection, and material classification. In order to classify and search materials with high accuracy, Studies such as spectral matching, indexing, and candidate filters using measured spectral library data and ultrasound images are needed.
Recently, research on analytical techniques using ultraspectral images has been broadly divided into a research for improving the performance of the video end member extraction and a very large sparse matrix for directly using the library end members for spectral mixture analysis In this paper, we propose a new method for efficiently calculating the occupancy rate value for end members in an image from a matrix. After extracting and analyzing the spectroscopic characteristics of the end member by analyzing the spectroscopic characteristics with the field library or the spectroscopic library, the end member is identified and then the spectroscopic mixture analysis is finally performed to generate the abundance fraction map ought.
However, the above-described conventional methods merely suggest a method of using an ultraspectral image and a spectral library or extracting a video end member. By combining these methods, it is possible to combine only the target material There is a limitation that can not be presented as a method for detecting a target substance so as to be able to accurately detect it.
In addition, the methods of detecting target materials using the conventional ultrasound image are classified into two kinds of target materials and non-target materials by comparing the similarity with the spectrum of the target material based on the spectral reflection spectrum of the pixel unit, There is a problem that a non-target substance is detected as a target in a very large amount even in an ultraspectral image using a very large amount of spectral information.
In addition, the conventional methods determine whether or not the target material is based on the similarity of spectra for each pixel. Therefore, when the spatial area occupied by the pixel is wider than the spatial size of the target material, there is a problem that the target material can not be found.
That is, assuming that the size of the area occupied by one pixel on the ground is 5m × 5m, even if there is a target of 2m × 2m in size, the area ratio is 25: 4 and the remaining 21 (25 - 4) And this target is not detected as a target substance.
As described above, all conventional methods for detecting target materials using ultrasound spectra are based on the spectral reflection spectrum characteristics of the target material, mathematically comparing the similarity with the spectral spectrum of the corresponding pixels of all the pixels, It is divided into two kinds of target material and non-target material. In each technique, the mathematical indices which are the standard of the similarity are different or the spectral reflection spectrum is further characterized through the preprocessing. However, It is very difficult to detect a target having a size smaller than the size of a pixel as a target material because it is determined based on a pixel.
Therefore, as described above, the problem of the target material detection methods using the ultrasound image of the prior art, in which the detection result is misjudged to a substance other than the target substance or the target whose size is smaller than that of the pixel region is often not detected can be solved It is desirable to provide a new configuration detection method which is configured to improve the accuracy of the target material detection method so as to accurately detect the target materials regardless of the size with little or no false detection of pixels, And devices and methods that satisfy all such demands are not presented.
[Prior Art Literature]
1. Korean Patent Registration No. 10-1414045 (June 25, 2014)
2. Korean Patent Registration No. 10-1361094 (Feb.
3. Korean Patent Registration No. 10-1281873 (June 27, 2013).
4. Korean Patent Registration No. 10-1425159 (Apr. 24, 2014).
SUMMARY OF THE INVENTION It is an object of the present invention to provide a method for detecting a target substance from a superspectral image of a specific region, The present inventors have solved the problems of the conventional methods of detecting target materials using ultra-spectroscopic images, in which a target substance other than the target substance is misdetected as a target substance or a target smaller in size than the pixel region is not detected. And to provide a method for detecting a target substance by spectroscopic mixture analysis of an ultra-spectroscopic image configured to accurately detect target substances regardless of size without almost any detected pixels.
It is another object of the present invention to provide a method and apparatus for detecting a target substance by using an ultrasound image of an area to be analyzed, image endmember) is automatically extracted to obtain a spectrum of various surface constituent materials. Spectral unmixing is then performed by adding a target spectrum for the target material as another end member , Spectral mixture analysis of ultraspectral image that is constructed so that only target target material can be accurately detected with few false-detected pixels, by calculating the occupancy rate of target material based on the result and creating a distribution map for the target material The present invention provides a method for detecting a target substance.
It is a further object of the present invention to calculate the composition ratios of background materials and target materials for each pixel using all the spectra of all the background materials in the extracted image and the spectrum of the target material, , It is possible to produce highly accurate detection results as compared with the conventional methods of simply comparing the similarity with only the spectrum of the target material regardless of the background material, Even if a target having a size of 2m x 2m is present in a pixel of 5m x 5m size as described above, the target material can be detected in the pixel area by 16% ( 4/25) of the object to be detected by spectroscopic mixture analysis of ultraspectral images The.
According to an aspect of the present invention, there is provided a method of detecting a target substance from a supersonic spectroscopic image of a specific region, In order to solve the problem of the conventional target material detection methods in which a target having a size smaller than that of the pixel area can not be detected, there is a problem in that, in order to accurately detect only the target material, A method for detecting a target substance by spectroscopic mixture analysis, comprising: obtaining an ultrasound image of an area to be analyzed; Analyzing a substance distribution with respect to a unit pixel of the superspectral image acquired in the step of acquiring the superspectral image and automatically extracting an image member; Performing spectral unmixing by adding a spectral reflection spectrum of the target material to be detected to the image end member extracted in the step of extracting the image end member as a new end member; Obtaining the occupancy rate of the target substance based on a result of the process of performing the spectral purifying step; And displaying the distribution of the target material with respect to a unit pixel of the superspectral image on the superspectral image based on a result of obtaining an occupancy rate of the target material. A method of detecting a target substance by spectral mixture analysis of a spectroscopic image is provided.
Here, the detection method may include performing the spectral mixture analysis on all the pixels using all the spectra of the target material and the index constituent material contained in the ultrasound spectral image to determine the occupation ratio of the target material to all the pixels So that the presence or absence of the target material can be accurately analyzed even if the target material constitutes only a part of the region constituting each pixel.
In addition, the detection method may include repeating the process of extracting the image end member, performing the spectropolarization, and obtaining the occupation ratio for the target material with respect to each pixel of the ultrasound spectral image And preparing a distribution map for the target material.
In addition, according to the present invention, when a target substance is detected from a supersonic spectroscopic image of a specific region, a target other than a target material is detected as a target material, In order to solve the problems of the prior art target substance detection methods in which there is a problem that can not be detected, there is a need to detect target substances using spectroscopic mixture analysis of ultraspectral images, A system, comprising: an image acquisition unit for acquiring hyperspectral images of an area to be analyzed; An image analyzer for analyzing a distribution of the target material from the superspectral image acquired by the image acquisition unit; And an image display unit for displaying a distribution of the target substance analyzed by the image analyzing unit on the superspectral image, wherein the image analyzing unit is configured to perform a spectroscopic analysis And analyzing the distribution of the target substance using a substance detection method. The system for detecting a target substance using spectroscopic analysis of an ultrasound image is provided.
As described above, according to the present invention, there is provided a method of detecting a target using an ultrasound image to detect a distribution of a target material from a superspectral image of a specific region, Then, the image endmember is obtained from the acquired ultrasound image, and then a target spectrum for the target material is added as another end member to perform a spectral unmixing process for each pixel It is possible to accurately detect only a target material which is not detected with a large number of false positives even in an image in which a very wide variety of background materials are distributed, Spectroscopic analysis of ultrasound images with the advantage of being able to detect the target It is possible to detect a target material other than a target material by false detection or a target having a size smaller than that of the pixel area can not be detected by using the target material detection method, The problem of detection methods can be solved.
Also, according to the present invention, by using the method of detecting a target substance using the spectral mixture analysis of an ultraspectral image configured to accurately detect only a target material as described above, A target material detection system using spectroscopic analysis of ultraspectral images configured to be able to accurately detect only the target material that is effectively aimed at with little or no false-positive pixels, and to detect even a small-sized target relative to the pixel size .
FIG. 1 is a flow chart schematically showing the overall configuration of a method for detecting a target substance by spectral mixing analysis of an ultraspectral image according to an embodiment of the present invention.
FIG. 2 is a diagram showing an ultra-spectroscopic image photographed using an aircraft as sample data for verifying the performance of a method for detecting a target substance by spectroscopic mixture analysis of an ultraspectral image according to an embodiment of the present invention shown in FIG.
FIG. 3 is a graph showing a result of performing detection on a target material using the conventional method of detecting a target material and the method of detecting a target material according to an embodiment of the present invention, respectively, from the ultrasound image shown in FIG.
FIG. 4 is a diagram showing simulation data prepared for a detection capability test for an artificially added target signal. FIG.
FIG. 5 is a graph comparing target detection results obtained by the conventional technique for the pixel shown in FIG. 4 and the target material detection method according to the embodiment of the present invention, respectively.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, with reference to the accompanying drawings, a description will be made of a specific embodiment of a method for detecting a target substance by spectroscopic mixture analysis of an ultrasound image according to the present invention.
Hereinafter, it is to be noted that the following description is only an embodiment for carrying out the present invention, and the present invention is not limited to the contents of the embodiments described below.
In the following description of the embodiments of the present invention, parts that are the same as or similar to those of the prior art, or which can be easily understood and practiced by a person skilled in the art, It is important to bear in mind that we omit.
That is, the present invention provides a target detection method for detecting a target distribution of a target substance from a superspectral image of a specific region, as described later, Or a target having a size smaller than that of the pixel area is often not detected, and thus it is possible to solve the problem of the target material detection methods using the ultrasound image of the related art, And more particularly to a method for detecting a target substance by spectroscopic mixture analysis of an ultraspectral image configured to detect the target substance accurately.
Further, in order to solve the problems of the above-described prior art target substance detection methods, as described later, the present invention is characterized in that an ultrasonic spectroscopic image for an area to be analyzed is acquired, The image endmember is automatically extracted to obtain spectra of various surface constituent materials and then the target spectrum for the target material is added as another end member to perform spectral unmixing Spectroscopic mixing of ultraspectral images constituted so as to detect only the target material with little false positives, by calculating the occupancy rate of the target substance based on the result, The present invention relates to a method for detecting a target substance by analysis.
In addition, as described later, the present invention calculates the composition ratios of background materials and target materials for each pixel using all the spectra of the background materials in the image and the spectrum of the target material, and finally, It is possible to produce highly accurate detection results as compared with the conventional methods of simply comparing the similarity with only the spectrum of the target material regardless of the background material, Even if a very small target is easy to detect, for example, even if a target having a size of 2 m x 2 m exists in a pixel of 5 m x 5 m in size as described above, the target material is 16% (4/25) The present invention relates to a method for detecting a target substance by spectroscopic mixture analysis of an ultraspectral image configured to be analyzed.
Next, with reference to the drawings, the details of the method for detecting a target substance by spectroscopic mixing analysis of an ultrasound image according to the present invention will be described.
That is, referring to FIG. 1, FIG. 1 is a flowchart schematically showing an overall configuration of a method for detecting a target material by spectral mixing analysis of an ultraspectral image according to an embodiment of the present invention.
As shown in FIG. 1, a method for detecting a target substance by spectroscopic mixture analysis of an ultrasound image according to an embodiment of the present invention includes a step (S110) of acquiring an ultrasound image for an area to be analyzed (S110) (S120) of analyzing a material distribution of a unit pixel of the ultrasound spectral image to extract a video image member (S120), and analyzing a target spectrum of the target material in addition to the extracted end member (S130) of adding spectral unmixing as a video end member and obtaining an occupation ratio of each substance based on the result of the spectral pureification described above, extracting the occupancy rate of the target substance (S140).
Here, the method for detecting a target material by analyzing spectroscopic mixture of an ultrasound image according to an embodiment of the present invention may include repeating the steps S130 to S140 for each pixel of the ultrasound image, And a step of creating a distribution diagram.
In addition, the step of acquiring the ultrasound spectral image (S110) can acquire an ultrasound image by photographing an area to be analyzed using a satellite or an aircraft.
In addition, the step of extracting the above-described image member (S120) may be carried out in accordance with Korean Patent Application No. 10-1425159 proposed by the present inventors, for example, A method of extracting an end member of an ultrasound image, and a method of estimating the number of optimal end member numbers of an ultrasound image, which are disclosed in Korean Patent Registration No. 10-1281873.
In addition, the details of the step (S130) of performing the spectral unmixing, the step of extracting the occupancy rate of the target material (S140), and the step of creating the distribution diagram (S150) It is to be noted that the detailed description has been omitted here for the sake of brevity, since it is obvious to those skilled in the art through literature and the like.
That is, in the method of detecting a target material by spectroscopic mixture analysis of an ultrasound image according to an embodiment of the present invention, an ultrasound image is obtained, an optimal image end member is obtained from the acquired ultrasound image, Spectral is added to the image end member to perform spectral purifications so that the occupation rate of the material corresponding to each end member is obtained for each pixel, and the occupation rate of the target material is obtained through this, The distribution of the target substance to the target substance is determined.
Therefore, according to the method of detecting a target material by the spectral mixing analysis of the ultrasound image according to the embodiment of the present invention configured as described above, only the spectrum of the pattern most similar to the target material among the spectra displayed in the ultrasound image is found A method of detecting a target material using a conventional ultrasound image and a method of efficiently extracting an end member extraction method of the prior art which was merely to suggest only an efficient extraction method of an end member, Thus, it is possible to accurately detect only the target material with few false-detected pixels in the ultra-spectral image.
As described above, a method for detecting a target substance by spectroscopic mixture analysis of an ultrasound image according to an embodiment of the present invention can be implemented.
According to the present invention, there is also provided an image processing apparatus including an image acquisition unit for acquiring an ultrasound image of an area to be analyzed, an image analysis unit for analyzing a distribution of a target material from the ultrasound image acquired by the image acquisition unit, And an image display unit for displaying the distribution of the target substance analyzed by the image analysis unit on the ultrasound image, wherein the image analyzing unit comprises: A system for detecting a target substance by spectroscopic mixture analysis of an ultraspectral image configured to detect only a target material can be implemented by performing analysis using a target substance detection method by spectroscopic mixture analysis of an ultraspectral image .
The performance of the method of detecting a target material by spectroscopic analysis of an ultra-spectroscopic image according to an embodiment of the present invention constructed as described above will now be described in comparison with a conventional method.
Referring to FIG. 2, FIG. 2 is a sample data for verifying the performance of a method of detecting a target material by spectral mixing analysis of an ultra-spectroscopic image according to an embodiment of the present invention shown in FIG. 1, 8 is a diagram showing an ultra-spectroscopic image.
That is, the ultrasound image shown in FIG. 2 shows ultra-spectroscopic images obtained by installing several materials on the floor and using an aircraft after the harvest has been completed.
3, FIG. 3 illustrates a result of performing detection of a target material using the conventional target detection method and the target substance detection method according to an embodiment of the present invention from the ultrasound image shown in FIG. 2 Respectively.
More specifically, FIG. 3 shows a result of detection of turf in an ultra-spectroscopic image by inputting only the spectrum of grass, as a result of detection of a grass installed on the floor.
In addition, in FIG. 3, FIG. 3A to FIG. 3D are target detection results by the conventional method, that is, in the conventional methods, although the grass is also found, Can be confirmed.
However, as shown in FIG. 3E, the detection result of the target material detection method according to the embodiment of the present invention shows that a 4-m size grass patch as well as a 1-m size patch below it are well detected.
Referring now to FIG. 4, FIG. 4 is a diagram illustrating simulated data generated for a detection capability test for an artificially added target signal.
That is, FIG. 4 shows a case where a pixel (pixel) is extracted from a superspectral image and the original spectrum of the pixel and the spectrum of a mineral such as hematite are 50%, 40%, 30%, 20% %, 6%, and 4%, respectively.
Here, in FIG. 4, since the size of one pixel is 1m × 1m, it means that a target having a size of about 20 cm × 50 cm exists in the corresponding pixel in case of 10%.
5, FIG. 5 is a diagram showing a comparison result of target detection result by the target material detection method according to the prior art for the pixel shown in FIG. 4 and the embodiment of the present invention, respectively.
That is, in FIG. 5, FIGS. 5A to 5D show the results of the conventional method, and FIG. 5E shows the results of the method of detecting the target material according to the embodiment of the present invention.
More specifically, although the two methods shown in FIGS. 5A and 5C are detected up to about 30% pixels, it can be seen that there are a large number of pixels that are false-detected in the lower left portion. Even in the result shown in FIG. 5B, It can be seen that there are many pixels that are detected at the lower left corner but are detected at about 20% pixel at the result shown in FIG. 5D.
However, as shown in FIG. 5E, the result of the target material detection method according to the embodiment of the present invention shows that almost no false-positive pixels are detected except the noise portion along the upper edge of the image, and up to 4% pixels are detected .
From the results described above, it can be seen that, by using the target material detection method according to the embodiment of the present invention, more accurate detection results can be obtained with few false-detected pixels compared with the conventional detection methods.
Accordingly, the method of detecting a target material using the spectral mixing analysis of the ultrasound image according to the present invention can be implemented as described above.
In addition, by implementing the method of detecting a target material using the spectroscopic analysis of the ultrasound image according to the present invention as described above, the present invention provides a method of detecting a target substance from a superspectral image of a specific region, A method for detecting a target using an ultrasound image to detect an ultrasound image of an area to be analyzed, acquiring an image endmember from the acquired ultrasound image, The target spectrum for the target material is added as another end member so that the spectral unmixing process is performed for each pixel to create a distribution map for the target material. With only a few pixels to be detected, only the target material that is effectively targeted is accurately detected, The present invention provides a method of detecting a target material using spectroscopic analysis of an ultrasound image having an advantage of being able to detect even a target of a very small size, It is possible to solve the problem of the target substance detection methods using the ultrasound image of the prior art in which the target of small size is not detected.
Also, according to the present invention, by using the method of detecting a target substance using the spectral mixture analysis of an ultraspectral image configured to accurately detect only a target material as described above, A target material detection system using spectroscopic analysis of ultraspectral images configured to be able to accurately detect only the target material that is effectively aimed at with little or no false-positive pixels, and to detect even a small-sized target relative to the pixel size .
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes, modifications, combinations, and substitutions may be made without departing from the scope of the present invention as set forth in the following claims. I will.
Claims (4)
Obtaining an ultrasound image of an area to be analyzed;
Analyzing a substance distribution with respect to a unit pixel of the superspectral image acquired in the step of acquiring the superspectral image and automatically extracting an image member;
Performing spectral unmixing by adding a spectral reflection spectrum of the target material to be detected to the image end member extracted in the step of extracting the image end member as a new end member;
Obtaining the occupancy rate of the target substance based on a result of the process of performing the spectral purifying step; And
And displaying the distribution of the target material with respect to a unit pixel of the superspectral image on the superspectral image based on the result of the step of obtaining an occupancy ratio with respect to the target material. A method for detecting target substances by spectral mixing analysis of images.
The detection method includes:
Wherein the spectral mixture analysis is performed on all the pixels using all of the spectrum of the target material and the index constituent contained in the ultrasound image so that the occupancy rate of the target material is calculated for all the pixels, Wherein the presence or absence of the target material can be accurately analyzed even if the target material comprises only a part of the target material in a region constituting the pixel.
The detection method includes:
Wherein the step of extracting the image end member, performing the spectropolarization, and the step of obtaining an occupancy rate for the target material are repeated for each pixel of the ultrasound image, Wherein the method further comprises the step of generating spectroscopic data of the target substance by spectroscopic mixture analysis of the ultrasound image.
An image acquisition unit for acquiring an ultrasound image of an area to be analyzed;
An image analyzer for analyzing a distribution of the target material from the superspectral image acquired by the image acquisition unit; And
And an image display unit displaying a distribution of the target material analyzed by the image analysis unit on the ultrasound spectral image,
Wherein the image analyzing unit comprises:
A spectroscopic mixture analysis of an ultrasound image characterized by analyzing a distribution of the target substance using a method for detecting a target substance by spectroscopic analysis of the ultrasound image according to any one of claims 1 to 3 Targeted substance detection system.
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