CN105125169A - Lung blast injury detecting instrument and method for detecting lung blast injury image - Google Patents
Lung blast injury detecting instrument and method for detecting lung blast injury image Download PDFInfo
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- CN105125169A CN105125169A CN201410238747.0A CN201410238747A CN105125169A CN 105125169 A CN105125169 A CN 105125169A CN 201410238747 A CN201410238747 A CN 201410238747A CN 105125169 A CN105125169 A CN 105125169A
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Abstract
The invention discloses a lung blast injury detecting instrument and a method for detecting a lung blast injury image, and relates to the technical field of detection of injured tissues. The detecting instrument comprises an image acquiring module and an image processing module; the image acquiring module is used for providing a standard light source, acquiring an image of an object to be detected and storing a detected image; and the image processing module is used for analyzing the acquired image of the object to be detected and outputting a lung blast injury state judgment display image. The lung blast injury detecting instrument has the advantages that the standard light source is provided for a detecting process by an optical system submodule. Lung tissue images are acquired by the image acquiring device, and the images are analyzed by the image processing module to obtain the area of a bleeding portion of lung tissues. The detecting instrument can accurately read the area of lung injury due to explosive impact, and has the characteristics that reliability and accuracy are high, the testing error of the detecting instrument is only 0.1mm, and the detecting instrument is easy to use and high in repeatability, and is not affected by external light rays, and the like.
Description
Technical field
The present invention relates to wounded tissue detection technique field, particularly a kind of explosion wave that detects causes the detector of injury of lung position and hemorrhage area and detects the method for lung maturation image.
Background technology
Along with the fast development of military science and technology, the wildness of terrorist action in world wide, the incidence rate showed increased in wartime, at ordinary times explosive injury, especially because religious contradiction, national controversial issue, gap between the rich and the poor widen and cause increasing of terrorist's explosive attack case.Such as occur in the Bombay,India suburban railway train serial blast case causing nearly 1000 people injures and deaths on July 11st, 2006; Occur in and cause the minibus of noon street, Luxi County, the Yunnan paving of 1 dead 11 wounds to fail to understand explosive case of explosion on February 27th, 2010.These explosive attack cases are sudden by force, harm is large, easily cause public concern psychology, cause social unrest.
Lungs are first target organs of Explosive blast injury, are also hold vulnerable internal organs most, and test proves, explosion wave metropolis produces injury of lung, and pneumorrhagia is the topmost pathological changes of lung maturation.Therefore the identification at pneumorrhagia position and the judgement of size judge for the traumatic condition of Explosive blast injury and quick treatment just seems extremely important.At present the treatment research of Explosive blast injury is normally undertaken by zoopery, laboratory animal injury of lung bleeding part judged in the past is identify by rule of thumb mainly through operator's perusal, the calculating of hemorrhage area is then according to artificial roughly estimation or takes ruler to measure, these methods cause the calculating of the identification at pneumorrhagia position and area quite inaccurate, reason is as follows: judgement and operator's subjectivity at pneumorrhagia position have much relations, operator is because practical experience is different and cause accurately whether can not judge pneumorrhagia to the difference that criterion is grasped, irregular due to pneumorrhagia region, especially multiplely petechial hemorrhage or diffuse hemorrhage is dispersed in, pneumorrhagia area cannot carry out to cause operator artificially to estimate, can only with Semen Glycines, large or needle point be large etc. that qualitative vocabulary is described, or take ruler roughly to measure irregular pneumorrhagia area, make area reading error large.In addition the inconsistent of the extraneous light of operation field also can cause operator to occur erroneous judgement to same pneumorrhagia situation.Therefore the deviation of pneumorrhagia judgement and identification has had a strong impact on the assessment of explosive injury treatment research and traumatic condition.
In sum, be necessary that providing a kind of accurately can identify that the lung maturation detector of pneumorrhagia position and hemorrhage area and the method for detected image thereof are to solve prior art Problems existing.
Summary of the invention
In view of this, the technical problem to be solved in the present invention is a kind of method providing lung maturation detector and detect lung maturation image, detector can accurately judge pulmonary hemorrhage tissue, accurate reading Explosive blast injury injury of lung area and hemorrhage area ratio, have that reliability is high, precision good, use is simple, repeatability by force, not by features such as extraneous light interference.
The present invention is solved the problems of the technologies described above by following technological means:
The invention provides a kind of lung maturation detector, comprise image capture module and image processing module, described image capture module for providing standard light source, gather the image that the image of thing to be detected and storage detect; Described image processing module is used for carrying out analyzing and processing to the image collecting thing to be detected, exports lung maturation traumatic condition and judges display image.
Further, described image capture module comprises: optical system submodule, for providing standard light source for testing process; Image collecting device, for gathering image to be detected; Image sub module stored, for storing the image detected;
Further, described optical system submodule comprises 4 groups of LED light sources;
Further, often organize described LED light source and comprise 6 LED lamp bead, 1 aluminium base, 1 power source drive device and 1 brightness regulating apparatus, described 6 LED lamp bead circumferences are distributed on aluminium base, described aluminium base is connected with power source drive device, and described power source drive device is connected with brightness regulating apparatus;
Further, described image collector is set to video camera;
Further, described image collector is set to CCD camera;
Further, described image processing module comprises:
Image read-out, for reading described image;
Image preprocess apparatus, for carrying out image denoising, image enhaucament, image rectification and image restoration successively to read image;
Image characteristics extraction device, carries out the reading of bleeding tissue color and Iamge Segmentation successively for the image obtained image preprocess apparatus process;
Image recognition analysis device, the image for obtaining the process of image characteristics extraction device carries out pixel calibration, Objective extraction, areal calculation, the calculating of hemorrhage ratio and false color of image successively, and output display image.
Adopt lung maturation detector to detect a method for lung maturation image, comprise the following steps:
Gather the image of detection thing to be measured;
Pretreatment is carried out to described image;
Image characteristics extraction is carried out to the image that described pretreatment obtains;
Carry out the image that feature extraction obtains carry out image recognition analysis, output display image to described, described in carry out image characteristics extraction step comprise:
According to the image that described pretreatment obtains, read out haemal tissue color region image;
Distinguish normal structure image and bleeding tissue image.
Further, carry out pretreatment to described image to comprise the following steps:
Image denoising is carried out to the image of described thing to be detected;
Strengthen the image after described image denoising;
Correct the image of described image enhaucament;
Restore the image of described image rectification.
Beneficial effect of the present invention: color is different under light illumination with hemorrhage lung tissue according to normal lung tissue, adopts optical system submodule to provide standard light source for testing process.Adopt image collecting device to gather lung tissue image, obtain the area of lung tissue bleeding sites and hemorrhage area ratio by image processing module analyzing and processing image.Detector accurately can read Explosive blast injury injury of lung area, have that reliability is high, precision good, use is simple, repeatability by force, not by features such as extraneous light interference, the test error of detector is 0.1mm.Overcome in current animal experiment that blast injury pneumorrhagia position and area can only by operator's interpretations by rule of thumb, reading accuracy is poor, error is large, had a strong impact on the problem that the treatment of blast injury and traumatic condition judge, for the early stage protection of lung maturation, diagnosis, treatment provide accurately, objective foundation.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described.
Fig. 1 is the structural representation of lung maturation detector of the present invention;
Fig. 2 is lung maturation detector LED light source structural representation of the present invention;
Fig. 3 is the image processing module structural representation of lung maturation detector of the present invention;
Fig. 4 is the method flow diagram of the detected image of lung maturation detector of the present invention.
Detailed description of the invention
Below with reference to accompanying drawing, the present invention is described in detail.
As shown in Figure 1: lung maturation detector comprises image capture module 1 and image processing module 2, image capture module 1, for gathering the image of the lung tissue of the to be detected wound that is hit; Image processing module 2, for passing through, gathered lung tissue image is analyzed, obtain being subject to the lung tissue image of blast injury and whole lung tissue image, calculate the ratio that the area of injured lung tissue, normal structure area and bleeding part account for whole lung tissue, export lung maturation traumatic condition and judge display image.Image capture module 1 is connected with image processing module 2.Image capture module 1 comprises optical system submodule 11, image collecting device 12 and image sub module stored 13, and optical system submodule 11, image collecting device 12 are connected in turn with image sub module stored 13.
As shown in Figure 2, optical system submodule 11 comprises four groups of LED light sources, often organize LED light source and comprise 6 LED lamp bead arrays, 1 aluminium base, 1 power source drive device and 1 brightness regulating apparatus, LED lamp bead array circumference is distributed on aluminium base, aluminium base is connected with power source drive device, and power source drive device is connected with brightness regulating apparatus.Optical system submodule 11, for providing standard light source for testing process, makes light source irradiation arrive thing to be detected.Image collecting device 12 is video camera or CCD camera, is used for gathering the image of thing to be detected.
The image information of the lung tissue to be detected of Real-time Obtaining from optical system submodule 11 stores by image sub module stored 13.The effect of image processing module 2 is by carrying out analyzing and processing to the image of collected lung tissue, obtain being subject to the lung tissue image of blast injury and whole lung tissue image, by the ratio that image calculates the area of hemorrhage lung tissue, normal lungs tissue surface sum bleeding part accounts for whole lung tissue.
The data analysis that image capture module 1 collects by image processing module 2 as shown in Figure 3 and process, calculate Pulmonary hemorrhage and organize area to account for the ratio of whole lung tissue.Image processing module 2 comprises image read-out 21, image preprocess apparatus 22, image characteristics extraction device 23 and image recognition analysis device 24, and image read-out 21, image preprocess apparatus 22, image characteristics extraction device 23 are connected in turn with image recognition analysis device 24.Image read-out 21 is for reading video camera or CCD camera collects the dirty tissue image information of the to be detected impairing the lung that is hit.Image preprocess apparatus 22 is for carrying out image denoising, image enhaucament, image correction process and image restoration successively by read image information.Image denoising, is used for improving the signal to noise ratio of image; Image enhaucament, for improving picture contrast, brightness adjustment and improving color effects; Image rectification, is used for adjusting screen and various color conversion parameter; Image restoration, carries out Recovery processing by the image obtained through image rectification, removing or the degeneration reduced because of a variety of causes generation in acquisition image process.Image characteristics extraction device 23 is for carrying out the reading of bleeding tissue color and Iamge Segmentation to through pretreated image.Bleeding tissue color reads, and is used for reading out haemal tissue color region image, judges normal structure and bleeding tissue edge according to the bleeding tissue color region on image.Iamge Segmentation is used for carrying out normal structure and bleeding tissue limb recognition by binaryzation, according to limb recognition result, and normal tissue and bleeding tissue Image Segmentation Using.Image recognition analysis device 24, for carrying out pixel calibration, Objective extraction, areal calculation, the calculating of hemorrhage ratio and false color of image successively according to the image after segmentation, exports lung maturation traumatic condition and judges display image.Pixel is calibrated, and namely first on image, chooses a segment distance, reads actual range from scale, then read the number of pixel in this segment distance from image, and both perform mathematical calculations and obtain the actual size of each pixel representative.Objective extraction is extracted respectively the normal structure split and bleeding tissue.Areal calculation is the area that number that the actual size represented according to each pixel is multiplied by pixel in bleeding tissue image-region obtains bleeding tissue, in like manner calculates the area of normal structure.It is calculate the ratio that bleeding tissue area accounts for whole lung tissue area that hemorrhage ratio calculates.
Image analysis processing principle: being subject to some position of experimental animal lung tissue after shock can be hemorrhage, lungs normal structure color is pink, bleeding part presents kermesinus and puce, both can represent with different color data on image, avoid people to be that deviation appears in interpretation.First the calculating of Pulmonary hemorrhage area be pixel calibration; Extract the pixel of haemal tissue and the pixel of normal lung tissue respectively; Add up respectively the pixel of bleeding part and the pixel of normal lung tissue, obtained area and normal lung tissue's area of bleeding part by areal calculation rule, deriving further obtains the ratio of whole lungs shared by Pulmonary hemorrhage area.
During test, lying in a horizontal plane on the base plate of holder device by being subject to the experimental animal lung tissue after shock, dipping in the blood and slime on clean lung tissue surface with gauze, prevent from reflectively bringing the error of calculation.
Opening the switch of light-source illuminating system, the angle of adjustment light source support, by rotating the height of position rotating handle adjustment lamp bracket, being radiated at lungs on the surface with making the uniform light of four groups of LED light sources by regulating brightness regulating apparatus.The image photographed is transferred to image sub module stored 13 by capture card by video camera or CCD camera, these images are sent to image processing module 2 by image sub module stored 13 again, the ratio that hemorrhage area accounts for whole lungs is obtained after image processing module 2 analyzing and processing, carry out false color of image, export lung maturation traumatic condition and judge display image.
As shown in Figure 4, the method adopting lung maturation detector to detect lung maturation image is: the image gathering thing to be detected; The detection object image collected is carried out pretreatment; Image characteristics extraction is carried out by carrying out the image that pretreatment obtains; By feature extraction to image carry out image recognition analysis, output display image.
Image semantic classification step comprises carries out image denoising, image enhaucament, image rectification and image restoration successively by collecting the image detecting thing.Image denoising, improves the signal to noise ratio of image; Image enhaucament, improves picture contrast, brightness adjustment and improves color effects; Image rectification, adjusting screen and various color conversion parameter; Image restoration, carries out Recovery processing by the image obtained through image rectification, removing or the degeneration reduced because of a variety of causes generation in acquisition image process.
Image characteristics extraction step comprises the color region image of the image reading bleeding tissue after according to correction, and image is distinguished haemal tissue and normal tissue regions image; Again Iamge Segmentation is carried out to the bleeding tissue on image and normal structure.
Image recognition analysis step comprise the image after according to segmentation carry out successively pixel calibration, Objective extraction, calculate haemal tissue and normal structure area, calculate ratio and false color of image that haemal tissue accounts for normal structure, export lung maturation traumatic condition and judge display image.Pixel is calibrated, and namely first on image, chooses a segment distance, reads actual range from scale, then read the number of pixel in this segment distance from image, and both perform mathematical calculations and obtain the actual size of each pixel representative.Objective extraction is extracted respectively Iamge Segmentation normal structure image out and bleeding tissue image.Areal calculation is the area that number that the actual size represented according to each pixel is multiplied by pixel in bleeding tissue image-region obtains bleeding tissue, in like manner calculates the area of normal structure.It is calculate the ratio that bleeding tissue area accounts for whole lung tissue area that hemorrhage ratio calculates.
What finally illustrate is, above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although with reference to preferred embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that, can modify to technical scheme of the present invention or equivalent replacement, and not departing from aim and the scope of technical solution of the present invention, it all should be encompassed in the middle of right of the present invention.
Claims (9)
1. lung maturation detector, is characterized in that: comprise image capture module (1) and image processing module (2), described image capture module (1) for providing standard light source, gather the image that the image of thing to be detected and storage detect; Described image processing module (2), for carrying out analyzing and processing to the image collecting thing to be detected, exports lung maturation traumatic condition and judges display image.
2. lung maturation detector as claimed in claim 1, is characterized in that: described image capture module (1) comprising:
Optical system submodule (11), for providing standard light source for testing process;
Image collecting device (12), for gathering image to be detected;
Image sub module stored (13), for storing the image detected.
3. lung maturation detector as claimed in claim 2, is characterized in that: described optical system submodule (11) comprises 4 groups of LED light sources.
4. lung maturation detector as claimed in claim 3, it is characterized in that: often organize described LED light source and comprise 6 LED lamp bead, 1 aluminium base, 1 power source drive device and 1 brightness regulating apparatus, described 6 LED lamp bead circumferences are distributed on aluminium base, described aluminium base is connected with power source drive device, and described power source drive device is connected with brightness regulating apparatus.
5. lung maturation detector as claimed in claim 2, is characterized in that: described image collecting device (12) is video camera.
6. lung maturation detector as claimed in claim 2, is characterized in that: described image collecting device (12) is CCD camera.
7. lung maturation detector as claimed in claim 1, is characterized in that: described image processing module (2) comprising:
Image read-out (21), for reading described image;
Image preprocess apparatus (22), for carrying out image denoising, image enhaucament, image rectification and image restoration successively to read image;
Image characteristics extraction device (23), carries out the reading of bleeding tissue color and Iamge Segmentation successively for the image obtained described image preprocess apparatus process;
Image recognition analysis device (24), the image for obtaining the process of described image characteristics extraction device carries out pixel calibration, Objective extraction, areal calculation, the calculating of hemorrhage ratio and false color of image successively, and output display image.
8. adopt lung maturation detector to detect a method for lung maturation image, comprise the following steps:
Gather the image of detection thing to be measured;
Pretreatment is carried out to described image;
Image is obtained to described pretreatment and carries out image characteristics extraction;
Carry out the image that feature extraction obtains carry out image recognition analysis to described, output display image, is characterized in that: described in carry out image characteristics extraction step comprise:
According to the image that described pretreatment obtains, read out haemal tissue color region image;
Distinguish normal structure image and bleeding tissue image.
9. the method detecting lung maturation image as claimed in claim 8, is characterized in that: carry out pretreatment to described image and comprise the following steps:
Image denoising is carried out to the image of described thing to be detected;
Strengthen the image after described image denoising;
Correct the image of described image enhaucament;
Restore the image of described image rectification.
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| CN105509567A (en) * | 2016-01-15 | 2016-04-20 | 中国人民解放军第三军医大学野战外科研究所 | Body armor defence effectiveness evaluating method |
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Application publication date: 20151209 |