CN105786385A - Disease symptom detecting method and device based on human body image - Google Patents
Disease symptom detecting method and device based on human body image Download PDFInfo
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Abstract
The invention discloses a disease symptom detecting method based on a human body image.The disease symptom detecting method based on the human body image comprises the steps that when a disease symptom detecting instruction which is triggered based on a default human body image model is received, and the area to be detected in the human body image model is determined; a human organ corresponding to the area to be detected is determined; a disease symptom corresponding to the determined human organ is displayed according to default correlations of human organs and disease symptoms; when a selection instruction which is input based on the displayed disease symptom is received, a detection result is obtained according to the disease symptom corresponding to the selection instruction.The invention further discloses a disease symptom detecting device based on the human body image.According to the disease symptom detecting method and device based on the human body image, the accuracy of disease symptom detection is improved.
Description
Technical field
The present invention relates to medical domain, particularly relate to a kind of method and device detecting disease symptoms based on human body image.
Background technology
There is the detection application of some diseases symptom at present on the market, the detection application of these disease symptomses, it is substantially all and simply each position of human body image is greatly classified into each big region, then from each big region, corresponding position is searched, finally go to search disease choosing further according to these positions, and these positions are only generally corresponding to some symptoms of being correlated with, such as, what the position of belly was corresponding is diarrhoea, the symptoms such as belly angor, but, human organs different in belly is likely to corresponding different symptoms, as duodenum is likely to corresponding duodenitis, ileum is likely to corresponding ileal ulcer etc., if being detected by existing disease symptoms detection mode, easy is same result by detection general for disease, therefore, present disease symptoms detection mode, accuracy rate is relatively low.
Summary of the invention
Present invention is primarily targeted at and propose a kind of method and device detecting disease symptoms based on human body image, it is intended to solve existing disease symptoms detection mode, the technical problem that accuracy rate is relatively low.
For achieving the above object, a kind of method detecting disease symptoms based on human body image provided by the invention, the described method based on human body image detection disease symptoms includes:
When receiving the disease symptoms detection instruction based on default human body image model triggering, it is determined that the region to be detected in described human body image model；
Determine the human organ that described region to be detected is corresponding；
Incidence relation according to default human organ Yu disease symptoms, shows the disease symptoms that the human organ determined is corresponding；
When receiving based on the selection instruction of the disease symptoms input of display, obtain testing result according to the disease symptoms that described selection instruction is corresponding.
Preferably, when user inputs touch operation in described human body image model, trigger disease symptoms detection instruction；
Or, when click commands being detected in default selection control, eject the selection interface preset, in described selection interface, trigger disease symptoms detection instruction for user.
Preferably, described when receiving the disease symptoms detection instruction based on default human body image model triggering, it is determined that before the step in the region to be detected in described human body image model, the described method based on human body image detection disease symptoms also includes:
Described human body image model is carried out gridding segmentation according to preset ratio, described human body image model to be divided into the quadrilateral area of multiple equalization；
By two-dimensional coordinate system, quadrilateral area each described is carried out coordinate labelling, with determine each described quadrilateral area corresponding respectively organize coordinate figure；
Based on two groups of coordinate figures at diagonal angle in quadrilateral area each described, it is determined that the coordinate interval group that each described quadrilateral area is corresponding；
Mapping relations according to default coordinate interval group Yu human organ, it is determined that the human organ that each quadrilateral area is corresponding, and store the corresponding relation of each quadrilateral area human organ corresponding with each quadrilateral area；
When the detection instruction of described disease symptoms triggers based on described touch operation, the step in the described region to be detected determined in described human body image model includes:
Determine the coordinate interval group that described touch operation is corresponding；
Coordinate interval group corresponding with each quadrilateral area for the described coordinate interval group determined is compared, the quadrilateral area corresponding to obtain described touch operation, and using the described quadrilateral area of acquisition as region to be detected.
Preferably, the described step determining human organ corresponding to described region to be detected includes:
When described region to be detected includes multiple quadrilateral area, obtain the human organ that each described quadrilateral area is corresponding；
When the human organ obtained includes multiple human organ, the human organ corresponding as described region to be detected using each described human organ；
Or, when the human organ obtained includes multiple human organ, it is determined that each human organ accounts for the gross area of quadrilateral area the human organ corresponding as described region to be detected using accounting for the maximum human organ of the quadrilateral area gross area.
Preferably, after the described step obtaining testing result according to the disease symptoms obtained, the described method based on human body image detection disease symptoms also includes:
Receiving when checking instruction of testing result, check, described in showing at default display interface, the testing result that instruction is corresponding；
When the described testing result of display is mated with default testing result, export the information about doctor of described default testing result association.
Additionally, for achieving the above object, the present invention also proposes a kind of device detecting disease symptoms based on human body image, and the described device based on human body image detection disease symptoms includes:
First determines module, for when receiving the disease symptoms detection instruction based on default human body image model triggering, it is determined that the region to be detected in described human body image model；
Second determines module, is additionally operable to determine the human organ that described region to be detected is corresponding；
Display module, for the incidence relation according to the human organ preset with disease symptoms, shows the disease symptoms that the human organ determined is corresponding；
Processing module, for when receiving based on the selection instruction of the disease symptoms input of display, obtaining testing result according to the disease symptoms that described selection instruction is corresponding.
Preferably, when user inputs touch operation in described human body image model, trigger disease symptoms detection instruction；
Or, when click commands being detected in default selection control, eject the selection interface preset, in described selection interface, trigger disease symptoms detection instruction for user.
Preferably, the described device based on human body image detection disease symptoms also includes:
Segmentation module, for carrying out gridding segmentation to described human body image model according to preset ratio, so that described human body image model to be divided into the quadrilateral area of multiple equalization；
Mark module, for quadrilateral area each described being carried out coordinate labelling by two-dimensional coordinate system, with determine each described quadrilateral area corresponding respectively organize coordinate figure；
3rd determines module, for based on two groups of coordinate figures at diagonal angle in quadrilateral area each described, it is determined that the coordinate interval group that each described quadrilateral area is corresponding；
Described processing module, is additionally operable to the mapping relations according to the coordinate interval group preset with human organ, it is determined that the human organ that each quadrilateral area is corresponding, and stores the corresponding relation of each quadrilateral area human organ corresponding with each quadrilateral area；
When the detection instruction of described disease symptoms triggers based on described touch operation, described first determines that module includes:
Determine unit, for determining the coordinate interval group that described touch operation is corresponding；
First processing unit, for coordinate interval group corresponding with each quadrilateral area for the described coordinate interval group determined is compared, the quadrilateral area corresponding to obtain described touch operation, and using the described quadrilateral area of acquisition as region to be detected.
Preferably, described second determines that module includes:
Acquiring unit, when including multiple quadrilateral area for described region to be detected, obtains the human organ that each described quadrilateral area is corresponding；
Second processing unit, during for including multiple human organ at the human organ obtained, the human organ corresponding as described region to be detected using each described human organ；
Or, when the human organ obtained includes multiple human organ, it is determined that each human organ accounts for the gross area of quadrilateral area the human organ corresponding as described region to be detected using accounting for the maximum human organ of the quadrilateral area gross area.
Preferably, described display module, it is additionally operable to, receiving when checking instruction of testing result, check, described in showing at default display interface, the testing result that instruction is corresponding；
The described device based on human body image detection disease symptoms also includes:
Output module, for when the described testing result of display is mated with default testing result, exporting the information about doctor of described default testing result association.
nullThe method and the device that detect disease symptoms based on human body image that the present invention proposes，When receiving the disease symptoms detection instruction based on default human body image model triggering，First determine the region to be detected in described human body image model，It is then determined that the human organ that described region to be detected is corresponding，Incidence relation further according to default human organ Yu disease symptoms，Show the disease symptoms that the human organ determined is corresponding，When receiving based on the selection instruction of the disease symptoms input of display，Testing result is obtained according to the disease symptoms that described selection instruction is corresponding，Rather than when detecting disease symptoms，It is only region substantially by human body image model partition，Then from each big region, corresponding position is searched，Finally go to search disease choosing further according to these positions，Avoiding detection general for the disease of the different human body organ in same position is same result，The present invention is according to human organ corresponding to region to be detected，Obtain corresponding disease symptoms，And obtain testing result according to disease symptoms，Improve the accuracy rate of disease symptoms detection.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet that the present invention detects the method first embodiment of disease symptoms based on human body image；
When Fig. 2 is click commands detected in default selection control in the present invention, eject the preferably schematic diagram selecting interface preset；
Described human body image model is carried out gridding according to preset ratio in the present invention to split preferably schematic diagram by Fig. 3；
Fig. 4 is the preferably schematic diagram of human body viscera distribution in the present invention；
Fig. 5 is the preferably schematic diagram of human abdomen's internal organs in the present invention；
Fig. 6 is the schematic flow sheet that present invention determine that human organ preferred embodiment corresponding to described region to be detected；
Fig. 7 is the present invention at default display window shows the preferably schematic diagram of disease symptoms that described human organ is corresponding；
Fig. 8 is while the present invention shows disease information, shows the preferably schematic diagram of the probability that each disease information is corresponding；
Fig. 9 is the schematic flow sheet that the present invention detects method second embodiment of disease symptoms based on human body image；
Figure 10 is the high-level schematic functional block diagram that the present invention detects the device first embodiment of disease symptoms based on human body image；
Figure 11 second determines the refinement high-level schematic functional block diagram of module in Figure 10；
Figure 12 is the high-level schematic functional block diagram that the present invention detects device second embodiment of disease symptoms based on human body image.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Detailed description of the invention
Should be appreciated that specific embodiment described herein is only in order to explain the present invention, is not intended to limit the present invention.
The present invention provides a kind of method detecting disease symptoms based on human body image.
It is the schematic flow sheet that the present invention detects the method first embodiment of disease symptoms based on human body image with reference to Fig. 1, Fig. 1.
The present embodiment proposes a kind of method detecting disease symptoms based on human body image, and the described method based on human body image detection disease symptoms includes:
Step S10, when receiving the disease symptoms detection instruction based on default human body image model triggering, it is determined that the region to be detected in described human body image model；
In the present embodiment, when user inputs touch operation in described human body image model, trigger disease symptoms detection instruction；That is, when user inputs touch operation in described human body image model, trigger disease symptoms detection instruction, terminal using region corresponding for described touch operation as region to be detected, achieve user when inputting touch operation in described human body image model, can using touch operation corresponding region as interval to be detected, to detect disease symptoms, without going to corresponding selection window selects step by step region to be detected, thus improve the motility of disease symptoms detection.Further, for improving the accuracy that region to be detected is determined, in this embodiment, when user inputs touch operation in described human body image model, preset multiple is amplified in region corresponding for described touch operation, for user region after amplification is triggered disease symptoms detection instruction, that is when user inputs touch operation in described human body image model, first by described touch operation correspondence be region amplify preset multiple, region after amplification can be checked concrete human organ, it is fine to the white of the eye of eyes, pupil etc., being easy to user can select concrete human organ to trigger disease symptoms detection instruction in region after amplification.Or, when user inputs touch operation in described human body image model, whole human body image model is amplified preset multiple, and human body image model after amplification selects corresponding region to trigger disease symptoms detection instruction for user.
Or, when click commands being detected in default selection control, eject the selection interface preset, in described selection interface, trigger disease symptoms detection instruction for user.Namely described human body image model display interface include select control, when user clicks described selection control, default selection interface can be ejected, with reference to Fig. 2, described selection interface can be the selection interface of each human organ, when user selects some human organ, the region that described human organ is corresponding can be obtained, and using the described region of selection as region to be detected.Wherein, the region that described human organ is corresponding can include one or more, when the region that described human organ is corresponding includes multiple region, when particularly regional distribution relatively dissipates, the regional of correspondence can be obtained by the human organ selected, and directly using the regional that obtains as region to be detected, it is not necessary to user goes to click one by one, improves the motility that region to be detected obtains.
In the present embodiment, before described step S10, the described method based on human body image detection disease symptoms also includes:
Step 1, carries out gridding segmentation to described human body image model according to preset ratio, so that described human body image model to be divided into the quadrilateral area of multiple equalization；
In the present embodiment, described human body image model includes male body iconic model, female body iconic model and male acupuncture point iconic model and women acupuncture point iconic model, further, described male body iconic model may also include male body image front elevation and male body image back view, in like manner, other each human body image model includes front elevation and back view too.In the present embodiment, selection according to user obtains corresponding human body image model, after getting described human body image model, described human body image model is carried out gridding segmentation according to preset ratio, described human body image model to be divided into the quadrilateral area of multiple equalization, such as when the human body image model obtained is male body image front elevation, described male body image front elevation is carried out gridding segmentation, to obtain the quadrilateral area of multiple equalization, specifically can refer to Fig. 3, and described ratio is configured as the case may be.
Step 2, carries out coordinate labelling by two-dimensional coordinate system to quadrilateral area each described, with determine each described quadrilateral area corresponding respectively organize coordinate figure；
Described human body image model is carried out gridding segmentation with after obtaining each impartial quadrilateral area according to preset ratio, by two-dimensional coordinate system, each quadrilateral area is carried out coordinate labelling, with obtain each quadrilateral area corresponding respectively organize coordinate figure, it is appreciated that the corresponding four groups of coordinate figures of each quadrilateral area.
Step 3, based on two groups of coordinate figures at diagonal angle in quadrilateral area each described, it is determined that the coordinate interval group that each described quadrilateral area is corresponding；
After determining four groups of coordinate figures that each quadrilateral area is corresponding, two groups of coordinate figures according to diagonal angle any in quadrilateral area, namely can determine that the coordinates regional group that each quadrilateral area is corresponding, for instance, two groups of coordinate figure respectively P1 (X1 at diagonal angle in quadrilateral area, and P2 (X2 Y1), Y2), then the coordinate interval group that described quadrilateral area is corresponding is: [(X1, X2), (Y1, Y2)].If it is understood that two groups of coordinate figures at the diagonal angle selected are two groups of coordinate figures in the upper left corner and the lower right corner, then each quadrilateral area is all the two groups of coordinate figures selecting the upper left corner and the lower right corner, to keep the concordance of coordinate interval group statistics.
Step 4, the mapping relations according to default coordinate interval group Yu human organ, it is determined that the human organ that each quadrilateral area is corresponding, and store the corresponding relation of each quadrilateral area human organ corresponding with each quadrilateral area.
In the present embodiment, first structoure of the human body in human body image model carries out detailed segmentation, and concrete segmentation mode can be finely divided according to human organ, for instance, with reference to Fig. 4, human body viscera is subdivided into thyroid, trachea, aorta, heart etc. human organ.And for abdominal organs, with reference to Fig. 5, can be subdivided into every, leftlobe of liver, esophagus, right lobe of liver etc..In the present embodiment, after determining the coordinate interval group that each quadrilateral area is corresponding, first determine the human organ that each coordinate interval group is corresponding, the mapping relations of each coordinate interval group and human organ can be configured in advance, in the present embodiment, preferably when the whole area of coordinate interval group all corresponding human organs, it may be determined that the corresponding described human organ of group of described coordinate interval；And in the whole area of coordinate interval group, exceed the area correspondence first man body organ of half, and less than corresponding second human organ of the area of half, then it is assumed that this coordinate interval group correspondence first man body organ.And determine each coordinate interval group with after corresponding human organ, according to the coordinate interval group that each quadrilateral area is corresponding, namely can determine that the human organ that each quadrilateral area is corresponding, the final corresponding relation storing each quadrilateral area human organ corresponding with each quadrilateral area.
Further, in order to improve efficiency and the motility of disease symptoms detection, the coordinate interval group belonging to same human organ is classified as a class, and of a sort coordinate interval group is write same number, and write another number to being classified as another kind of coordinate interval group, it is the equal of the corresponding numbering of an anthropoid organ, so after determining the coordinate interval group that each quadrilateral area is corresponding, each quadrilateral area of a sort is corresponding same number equally also, follow-up when receiving disease symptoms detection instruction, first determine the region to be detected in described human body image model, determine the quadrilateral area that described region to be detected is corresponding again, then according to the number that described tetragon is corresponding, can quickly determine the number that described region to be detected is corresponding, and then quickly determine the human organ that described region to be detected is corresponding.
In the present embodiment, when the detection instruction of described disease symptoms triggers based on described touch operation, described step S10 includes:
Determine the coordinate interval group that described touch operation is corresponding；
Coordinate interval group corresponding with each quadrilateral area for the described coordinate interval group determined is compared, the quadrilateral area corresponding to obtain described touch operation, and using the described quadrilateral area of acquisition as region to be detected.
nullNamely when user inputs touch operation in described human body image model，First determine the coordinate interval group that described touch operation is corresponding，Then coordinate interval group corresponding with each quadrilateral area for the described coordinate interval group determined is compared，If the coordinate interval group having quadrilateral area in each quadrilateral area and the described coordinate interval group coupling determined，Can determine that described quadrilateral area is exactly quadrilateral area corresponding to described touch operation，Obtain the described quadrilateral area determined，Finally using the described quadrilateral area of acquisition as region to be detected，Wherein，The quadrilateral area obtained can be one or more，When the coordinate interval group that described touch operation is corresponding includes a coordinate interval group，The quadrilateral area obtained is one，When the coordinate interval group that described touch operation is corresponding includes multiple coordinate interval group，The quadrilateral area obtained is multiple.
Step S20, it is determined that the human organ that described region to be detected is corresponding；
In the present embodiment, the embodiment of described step S20 includes:
1) mode one, with reference to Fig. 6, described step S20 includes:
Step S21, when described region to be detected includes multiple quadrilateral area, obtains the human organ that each described quadrilateral area is corresponding；
Step S22, when the human organ obtained includes multiple human organ, the human organ corresponding as described region to be detected using each described human organ；
Or, when the human organ obtained includes multiple human organ, it is determined that each human organ accounts for the gross area of quadrilateral area the human organ corresponding as described region to be detected using accounting for the maximum human organ of the quadrilateral area gross area.
In the present embodiment, when described region to be detected includes multiple quadrilateral area, that is the coordinate interval group that described touch operation is corresponding includes multiple coordinate intervals group, obtain the quadrilateral area that each interval group is corresponding, then, obtain the human organ that each described quadrilateral area is corresponding, when the human organ only one of which human body organ obtained, using human organ corresponding as described region to be detected for the human organ obtained, and when the human organ obtained includes multiple human organ, can directly using human organ that each described human organ is corresponding as described region to be detected；Or, first determine the gross area accounting for quadrilateral area in each human organ the human organ corresponding as described region to be detected using accounting for the maximum human organ of the quadrilateral area gross area；Further, in order to improve the motility that region to be detected correspondence human organ is determined, when the human organ obtained includes multiple human organ, equally first determine that each human organ accounts for the gross area of quadrilateral area, then reach, using accounting for the quadrilateral area gross area, the human organ that the human organ of preset area is corresponding as described region to be detected.
null2) mode two、Determine the coordinate interval group in described region to be detected，Then the coordinate interval group of the described coordinate interval group determined with each quadrilateral area preset is compared，To obtain the coordinate interval group mated in the coordinate interval group of each default quadrilateral area with the described coordinate interval group determined，And using quadrilateral area corresponding for the coordinate interval group of acquisition as described region to be detected，It is understandable that，During the corresponding multiple coordinate interval group of coordinate interval group in described region to be detected，Can determine that the corresponding multiple quadrilateral areas in described region to be detected，When coordinate interval group one coordinate interval group of correspondence in described region to be detected，Can determine that the corresponding quadrilateral area in described region to be detected，Then the corresponding relation according to described quadrilateral area with corresponding human organ，Namely can determine that the human organ that described region to be detected is corresponding.
Step S30, the incidence relation according to default human organ Yu disease symptoms, show the disease symptoms that the human organ determined is corresponding；
In the present embodiment, the incidence relation of described default human organ and disease symptoms is configured in advance, for instance, the disease symptoms that eyes are corresponding includes: pink eye disease, eyelid are pale, cornea white ring etc..
Step S40, when receiving based on the selection instruction of the disease symptoms input of display, obtains testing result according to the disease symptoms that described selection instruction is corresponding.
nullIn the present embodiment，After determining the human organ that described region to be detected is corresponding，Incidence relation according to default human organ Yu disease symptoms，Obtain the disease symptoms that described human organ is corresponding，Then show, at default display window, the disease symptoms that described human organ is corresponding，Can refer to Fig. 7，Now，The disease symptoms of display represents the various diseases symptom being likely to occur in described human organ，But user is likely to all of disease symptoms do not occur，But a kind of a certain or multinomial disease symptoms occurs，Therefore，In the present embodiment，User can select therein one or more according to the various diseases symptom of display，Namely terminal is when receiving based on the selection instruction of the disease symptoms input of display，Obtain the disease symptoms that described selection instruction is corresponding，As shown in Figure 7，Now，The disease symptoms selected is cardiac murmur、Heart sound exception and arrhythmia etc..After getting disease symptoms, the disease symptoms of acquisition is compared with each disease symptoms associated in the disease information prestored, if the disease symptoms obtained mates with some disease symptoms in the disease information prestored, then it is believed that the described disease information that prestores of described disease symptoms correspondence, the most described disease information is as testing result.
Further, when the disease symptoms obtained includes multiple, and during disease information corresponding to multiple disease symptoms, obtain each disease information, determine the probability of each described disease information again, follow-up can show each disease information successively according to probability order from big to small, and using the disease information of display as testing result.Or, obtain each disease information, after determining the probability of each described disease information again, while display disease information, show the probability that each disease information is corresponding, such as, with reference to Fig. 8, the current disease symptoms selected is cardiac murmur, heart sound exception, arrhythmia, the disease information then detected respectively atrial fibrillation and the narrow government official of Bicuspid valve, if atrial fibrillation and the narrow probability respectively 45% and 18% killing detection of Bicuspid valve, while two disease informations of display, the probability 45% and 18% that also two disease informations of display are corresponding.
nullThe method detecting disease symptoms based on human body image that the present embodiment proposes，When receiving the disease symptoms detection instruction based on default human body image model triggering，First determine the region to be detected in described human body image model，It is then determined that the human organ that described region to be detected is corresponding，Incidence relation further according to default human organ Yu disease symptoms，Show the disease symptoms that the human organ determined is corresponding，When receiving based on the selection instruction of the disease symptoms input of display，Testing result is obtained according to the disease symptoms that described selection instruction is corresponding，Rather than when detecting disease symptoms，It is only region substantially by human body image model partition，Then from each big region, corresponding position is searched，Finally go to search disease choosing further according to these positions，Avoiding detection general for the disease of the different human body organ in same position is same result，The present invention is according to human organ corresponding to region to be detected，Obtain corresponding disease symptoms，And obtain testing result according to disease symptoms，Improve the accuracy rate of disease symptoms detection.
Further, in order to improve the motility of disease symptoms detection, based on first embodiment, the second embodiment that the present invention detects the method for disease symptoms based on human body image is proposed, in the present embodiment, with reference to Fig. 9, the described method based on human body image detection disease symptoms includes:
Step S50, receiving when checking instruction of testing result, checks, described in showing at default display interface, the testing result that instruction is corresponding；
Step S60, when the described testing result of display is mated with default testing result, exports the information about doctor of described default testing result association.
In the present embodiment, receiving when checking instruction of testing result, check, described in showing at default display interface, the testing result that instruction is corresponding, be particularly shown the title of testing result, another name, concrete cause of disease introduction etc..In the present embodiment, intelligent in order to what improve that testing result shows, if the described testing result of display is mated with default testing result, then export the information about doctor of described testing result association, contact method such as doctor, as the mailbox of doctor, the address of doctor place hospital, the numbering of doctor, doctor phone etc., wherein, described default testing result can be serious disease information preset in advance.
In the present embodiment, when testing result in display is to preset testing result, in order to facilitate user that described testing result is understood in depth, and healthy and safe for user, the information about doctor that described testing result associates is provided, it is easy to user and relates to the doctor of correspondence based on described information about doctor, improve the motility of disease symptoms detection.
Further, if detecting when described testing result is mated with default testing result, also exportable information, such as output food recommendation information, including those diet applicable etc., or push motion recommendation information, suitable which kind of run, be suitable for when operation etc..
The present invention further provides a kind of device detecting disease symptoms based on human body image.
It is the high-level schematic functional block diagram that the present invention detects the device first embodiment of disease symptoms based on human body image with reference to Figure 10, Figure 10.
It is emphasized that, to one skilled in the art, functional block diagram shown in Figure 10 is only the exemplary plot of a preferred embodiment, those skilled in the art, around the functional module of the device detecting disease symptoms based on human body image shown in Figure 10, can carry out supplementing of new functional module easily；The title of each functional module is self-defined title, only for assisting each program function block understanding this device detecting disease symptoms based on human body image, being not used in restriction technical scheme, the core of technical solution of the present invention is, the function that the functional module of each self-defined title to be reached.
The present embodiment proposes a kind of device detecting disease symptoms based on human body image, and the described device based on human body image detection disease symptoms includes:
First determines module 10, for when receiving the disease symptoms detection instruction based on default human body image model triggering, it is determined that the region to be detected in described human body image model；
In the present embodiment, when user inputs touch operation in described human body image model, trigger disease symptoms detection instruction；That is, when user inputs touch operation in described human body image model, trigger disease symptoms detection instruction, and using region corresponding for described touch operation as region to be detected, achieve user when inputting touch operation in described human body image model, can using touch operation corresponding region as interval to be detected, to detect disease symptoms, without going to corresponding selection window selects step by step region to be detected, thus improve the motility of disease symptoms detection.Further, for improving the accuracy that region to be detected is determined, in this embodiment, when user inputs touch operation in described human body image model, preset multiple is amplified in region corresponding for described touch operation, for user region after amplification is triggered disease symptoms detection instruction, that is when user inputs touch operation in described human body image model, first by described touch operation correspondence be region amplify preset multiple, region after amplification can be checked concrete human organ, it is fine to the white of the eye of eyes, pupil etc., being easy to user can select concrete human organ to trigger disease symptoms detection instruction in region after amplification.Or, when user inputs touch operation in described human body image model, whole human body image model is amplified preset multiple, and human body image model after amplification selects corresponding region to trigger disease symptoms detection instruction for user.
Or, when click commands being detected in default selection control, eject the selection interface preset, in described selection interface, trigger disease symptoms detection instruction for user.Namely described human body image model display interface include select control, when user clicks described selection control, default selection interface can be ejected, with reference to Fig. 2, described selection interface can be the selection interface of each human organ, when user selects some human organ, the region that described human organ is corresponding can be obtained, and using the described region of selection as region to be detected.Wherein, the region that described human organ is corresponding can include one or more, when the region that described human organ is corresponding includes multiple region, when particularly regional distribution relatively dissipates, the regional of correspondence can be obtained by the human organ selected, and directly using the regional that obtains as region to be detected, it is not necessary to user goes to click one by one, improves the motility that region to be detected obtains.
In the present embodiment, the described device based on human body image detection disease symptoms also includes:
Segmentation module, for carrying out gridding segmentation to described human body image model according to preset ratio, so that described human body image model to be divided into the quadrilateral area of multiple equalization；
In the present embodiment, described human body image model includes male body iconic model, female body iconic model and male acupuncture point iconic model and women acupuncture point iconic model, further, described male body iconic model may also include male body image front elevation and male body image back view, in like manner, other each human body image model includes front elevation and back view too.In the present embodiment, selection according to user obtains corresponding human body image model, after getting described human body image model, described human body image model is carried out gridding segmentation according to preset ratio by described segmentation module, described human body image model to be divided into the quadrilateral area of multiple equalization, such as when the human body image model obtained is male body image front elevation, described male body image front elevation is carried out gridding segmentation, to obtain the quadrilateral area of multiple equalization, specifically can refer to Fig. 3, and described ratio is configured as the case may be.
Mark module, for quadrilateral area each described being carried out coordinate labelling by two-dimensional coordinate system, with determine each described quadrilateral area corresponding respectively organize coordinate figure；
Described human body image model is carried out gridding segmentation with after obtaining each impartial quadrilateral area according to preset ratio, each quadrilateral area is carried out coordinate labelling by two-dimensional coordinate system by described mark module, with obtain each quadrilateral area corresponding respectively organize coordinate figure, it is appreciated that the corresponding four groups of coordinate figures of each quadrilateral area.
3rd determines module, for based on two groups of coordinate figures at diagonal angle in quadrilateral area each described, it is determined that the coordinate interval group that each described quadrilateral area is corresponding；
After determining four groups of coordinate figures that each quadrilateral area is corresponding, described 3rd determines the module two groups of coordinate figures according to diagonal angle any in quadrilateral area, namely can determine that the coordinates regional group that each quadrilateral area is corresponding, for instance, two groups of coordinate figure respectively P1 (X1 at diagonal angle in quadrilateral area, and P2 (X2 Y1), Y2), then the coordinate interval group that described quadrilateral area is corresponding is: [(X1, X2), (Y1, Y2)].If it is understood that two groups of coordinate figures at the diagonal angle selected are two groups of coordinate figures in the upper left corner and the lower right corner, then each quadrilateral area is all the two groups of coordinate figures selecting the upper left corner and the lower right corner, to keep the concordance of coordinate interval group statistics.
Processing module, is additionally operable to the mapping relations according to the coordinate interval group preset with human organ, it is determined that the human organ that each quadrilateral area is corresponding, and stores the corresponding relation of each quadrilateral area human organ corresponding with each quadrilateral area.
In the present embodiment, first structoure of the human body in human body image model carries out detailed segmentation, and concrete segmentation mode can be finely divided according to human organ, for instance, with reference to Fig. 4, human body viscera is subdivided into thyroid, trachea, aorta, heart etc. human organ.And for abdominal organs, with reference to Fig. 5, can be subdivided into every, leftlobe of liver, esophagus, right lobe of liver etc..In the present embodiment, after determining the coordinate interval group that each quadrilateral area is corresponding, described processing module first determines the human organ that each coordinate interval group is corresponding, the mapping relations of each coordinate interval group and human organ can be configured in advance, in the present embodiment, preferably when the whole area of coordinate interval group all corresponding human organs, it may be determined that the corresponding described human organ of group of described coordinate interval；And in the whole area of coordinate interval group, exceed the area correspondence first man body organ of half, and less than corresponding second human organ of the area of half, then it is assumed that this coordinate interval group correspondence first man body organ.And determine each coordinate interval group with after corresponding human organ, described processing module is according to coordinate interval group corresponding to each quadrilateral area, namely can determine that the human organ that each quadrilateral area is corresponding, the final corresponding relation storing each quadrilateral area human organ corresponding with each quadrilateral area.
Further, in order to improve efficiency and the motility of disease symptoms detection, the coordinate interval group belonging to same human organ is classified as a class, and of a sort coordinate interval group is write same number, and write another number to being classified as another kind of coordinate interval group, it is the equal of the corresponding numbering of an anthropoid organ, so after determining the coordinate interval group that each quadrilateral area is corresponding, each quadrilateral area of a sort is corresponding same number equally also, follow-up when receiving disease symptoms detection instruction, first determine the region to be detected in described human body image model, determine the quadrilateral area that described region to be detected is corresponding again, then according to the number that described tetragon is corresponding, can quickly determine the number that described region to be detected is corresponding, and then quickly determine the human organ that described region to be detected is corresponding.
In the present embodiment, when the detection instruction of described disease symptoms triggers based on described touch operation, described first determines that module 10 also includes:
Determine unit, for determining the coordinate interval group that described touch operation is corresponding；
First processing unit, for coordinate interval group corresponding with each quadrilateral area for the described coordinate interval group determined is compared, the quadrilateral area corresponding to obtain described touch operation, and using the described quadrilateral area of acquisition as region to be detected.
nullNamely when user inputs touch operation in described human body image model，Described determine that unit first determines the coordinate interval group that described touch operation is corresponding，Then coordinate interval group corresponding with each quadrilateral area for the described coordinate interval group determined is compared by described first processing unit，If the coordinate interval group having quadrilateral area in each quadrilateral area and the described coordinate interval group coupling determined，Can determine that described quadrilateral area is exactly quadrilateral area corresponding to described touch operation，Obtain the described quadrilateral area determined，Finally using the described quadrilateral area of acquisition as region to be detected，Wherein，The quadrilateral area obtained can be one or more，When the coordinate interval group that described touch operation is corresponding includes a coordinate interval group，The quadrilateral area obtained is one，When the coordinate interval group that described touch operation is corresponding includes multiple coordinate interval group，The quadrilateral area obtained is multiple.
Second determines module 20, is additionally operable to determine the human organ that described region to be detected is corresponding；
In the present embodiment, described second determines that module 20 determines that the embodiment of human organ corresponding to described region to be detected includes:
1) mode one, with reference to Figure 11, described second determines that module 20 includes:
Acquiring unit 21, for when described region to be detected includes multiple quadrilateral area, obtaining the human organ that each described quadrilateral area is corresponding；
Second processing unit 22, during for including multiple human organ at the human organ obtained, the human organ corresponding as described region to be detected using each described human organ；
Or, when the human organ obtained includes multiple human organ, it is determined that each human organ accounts for the gross area of quadrilateral area the human organ corresponding as described region to be detected using accounting for the maximum human organ of the quadrilateral area gross area.
In the present embodiment, when described region to be detected includes multiple quadrilateral area, that is the coordinate interval group that described touch operation is corresponding includes multiple coordinate intervals group, described first processing unit obtains the quadrilateral area that each interval group is corresponding, described acquiring unit 21 obtains the human organ that each described quadrilateral area is corresponding, when the human organ only one of which human body organ obtained, described second processing unit 22 is using human organ corresponding as described region to be detected for a human organ of acquisition, and when the human organ obtained includes multiple human organ, described second processing unit 22 can directly using human organ that each described human organ is corresponding as described region to be detected；Or, it is determined that each human organ accounts for the gross area of quadrilateral area and the human organ that described second processing unit 22 is corresponding as described region to be detected using accounting for the maximum human organ of the quadrilateral area gross area；Further, in order to improve the motility that region to be detected correspondence human organ is determined, when the human organ obtained includes multiple human organ, equally first determining that each human organ accounts for the gross area of quadrilateral area, then described second processing unit 22 reaches, using accounting for the quadrilateral area gross area, the human organ that the human organ of preset area is corresponding as described region to be detected.
null2) mode two、Determine the coordinate interval group in described region to be detected，Then the coordinate interval group of the described coordinate interval group determined with each quadrilateral area preset is compared，To obtain the coordinate interval group mated in the coordinate interval group of each default quadrilateral area with the described coordinate interval group determined，And using quadrilateral area corresponding for the coordinate interval group of acquisition as described region to be detected，It is understandable that，During the corresponding multiple coordinate interval group of coordinate interval group in described region to be detected，Can determine that the corresponding multiple quadrilateral areas in described region to be detected，When coordinate interval group one coordinate interval group of correspondence in described region to be detected，Can determine that the corresponding quadrilateral area in described region to be detected，Then the corresponding relation according to described quadrilateral area with corresponding human organ，Namely can determine that the human organ that described region to be detected is corresponding.
Display module 30, for the incidence relation according to the human organ preset with disease symptoms, shows the disease symptoms that the human organ determined is corresponding；
In the present embodiment, the incidence relation of described default human organ and disease symptoms is configured in advance, for instance, the disease symptoms that eyes are corresponding includes: pink eye disease, eyelid are pale, cornea white ring etc..
Processing module 40, for when receiving based on the selection instruction of the disease symptoms input of display, obtaining testing result according to the disease symptoms that described selection instruction is corresponding.
nullIn the present embodiment，Described determine that module 20 determines the human organ that described region to be detected is corresponding after，The described display module 30 incidence relation according to default human organ Yu disease symptoms，Obtain the disease symptoms that described human organ is corresponding，Then show, at default display window, the disease symptoms that described human organ is corresponding，Can refer to Fig. 7，Now，The disease symptoms of display represents the various diseases symptom being likely to occur in described human organ，But user is likely to all of disease symptoms do not occur，But a kind of a certain or multinomial disease symptoms occurs，Therefore，In the present embodiment，User can select therein one or more according to the various diseases symptom of described display module 30 display，Described processing module 40 is when receiving based on the selection instruction of the disease symptoms input of display，Obtain the disease symptoms that described selection instruction is corresponding，As shown in Figure 7，Now，The disease symptoms selected is cardiac murmur、Heart sound exception and arrhythmia etc..After getting disease symptoms, the disease symptoms of acquisition is compared by described processing module 40 with each disease symptoms associated in the disease information prestored, if the disease symptoms obtained mates with some disease symptoms in the disease information prestored, then it is believed that the described disease information that prestores of described disease symptoms correspondence, the most described disease information is as testing result.
Further, when the disease symptoms obtained includes multiple, and during disease information corresponding to multiple disease symptoms, obtain each disease information, determine the probability of each described disease information again, follow-up can show each disease information successively according to probability order from big to small, and using the disease information of display as testing result.Or, obtain each disease information, after determining the probability of each described disease information again, while display disease information, show the probability that each disease information is corresponding, such as, with reference to Fig. 8, the current disease symptoms selected is cardiac murmur, heart sound exception, arrhythmia, the disease information then detected respectively atrial fibrillation and the narrow government official of Bicuspid valve, if atrial fibrillation and the narrow probability respectively 45% and 18% killing detection of Bicuspid valve, while two disease informations of display, the probability 45% and 18% that also two disease informations of display are corresponding.
nullThe device detecting disease symptoms based on human body image that the present embodiment proposes，When receiving the disease symptoms detection instruction based on default human body image model triggering，First determine the region to be detected in described human body image model，It is then determined that the human organ that described region to be detected is corresponding，Incidence relation further according to default human organ Yu disease symptoms，Show the disease symptoms that the human organ determined is corresponding，When receiving based on the selection instruction of the disease symptoms input of display，Testing result is obtained according to the disease symptoms that described selection instruction is corresponding，Rather than when detecting disease symptoms，It is only region substantially by human body image model partition，Then from each big region, corresponding position is searched，Finally go to search disease choosing further according to these positions，Avoiding detection general for the disease of the different human body organ in same position is same result，The present invention is according to human organ corresponding to region to be detected，Obtain corresponding disease symptoms，And obtain testing result according to disease symptoms，Improve the accuracy rate of disease symptoms detection.
Further, in order to improve the motility of disease symptoms detection, based on first embodiment, the second embodiment that the present invention detects the device of disease symptoms based on human body image is proposed, in the present embodiment, with reference to Figure 12, the described method based on human body image detection disease symptoms includes:
Described display module 30, is additionally operable to, receiving when checking instruction of testing result, check, described in showing at default display interface, the testing result that instruction is corresponding；
The described device based on human body image detection disease symptoms also includes:
Output module 50, for when the described testing result of display is mated with default testing result, exporting the information about doctor of described default testing result association.
In the present embodiment, receiving when checking instruction of testing result, described display module 30 show at default display interface described in check the testing result that instruction is corresponding, be particularly shown the title of testing result, another name, concrete cause of disease introduction etc..In the present embodiment, intelligent in order to what improve that testing result shows, if the described testing result of display is mated with default testing result, described output module 50 exports the information about doctor of described testing result association, contact method such as doctor, as the mailbox of doctor, the address of doctor place hospital, the numbering of doctor, doctor phone etc., wherein, described default testing result can be serious disease information preset in advance.
In the present embodiment, when testing result in display is to preset testing result, in order to facilitate user that described testing result is understood in depth, and healthy and safe for user, the information about doctor that described testing result associates is provided, it is easy to user and relates to the doctor of correspondence based on described information about doctor, improve the motility of disease symptoms detection.
Further, if detecting when described testing result is mated with default testing result, described output module 50 also exportable information, as exported food recommendation information, including those diet applicable etc., or push motion recommendation information, suitable which kind of run, suitable when operation etc..
It should be noted that, in this article, term " includes ", " comprising " or its other variant any are intended to comprising of nonexcludability, so that include the process of a series of key element, method, article or device not only include those key elements, but also include other key element being not expressly set out, or also include the key element intrinsic for this process, method, article or device.When there is no more restriction, statement " including ... " key element limited, it is not excluded that there is also other identical element in including the process of this key element, method, article or device.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art is it can be understood that can add the mode of required general hardware platform by software to above-described embodiment method and realize, hardware can certainly be passed through, but in a lot of situation, the former is embodiment more preferably.Based on such understanding, the part that prior art is contributed by technical scheme substantially in other words can embody with the form of software product, this computer software product is stored in a storage medium (such as ROM/RAM, magnetic disc, CD), including some instructions with so that a station terminal equipment (can be mobile phone, computer, server, air-conditioner, or the network equipment etc.) perform the method described in each embodiment of the present invention.
These are only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every equivalent structure utilizing description of the present invention and accompanying drawing content to make or equivalence flow process conversion; or directly or indirectly it is used in other relevant technical field, all in like manner include in the scope of patent protection of the present invention.
Claims (10)
1. the method detecting disease symptoms based on human body image, it is characterised in that the described method based on human body image detection disease symptoms comprises the following steps:
When receiving the disease symptoms detection instruction based on default human body image model triggering, it is determined that the region to be detected in described human body image model；
Determine the human organ that described region to be detected is corresponding；
Incidence relation according to default human organ Yu disease symptoms, shows the disease symptoms that the human organ determined is corresponding；
When receiving based on the selection instruction of the disease symptoms input of display, obtain testing result according to the disease symptoms that described selection instruction is corresponding.
2. the method detecting disease symptoms based on human body image as claimed in claim 1, it is characterised in that
When user inputs touch operation in described human body image model, trigger disease symptoms detection instruction；
Or, when click commands being detected in default selection control, eject the selection interface preset, in described selection interface, trigger disease symptoms detection instruction for user.
3. the method detecting disease symptoms based on human body image as claimed in claim 2, it is characterized in that, described when receiving the disease symptoms detection instruction based on default human body image model triggering, before determining the step in region to be detected in described human body image model, described detect the method for disease symptoms based on human body image and also include:
Described human body image model is carried out gridding segmentation according to preset ratio, described human body image model to be divided into the quadrilateral area of multiple equalization；
By two-dimensional coordinate system, quadrilateral area each described is carried out coordinate labelling, with determine each described quadrilateral area corresponding respectively organize coordinate figure；
Based on two groups of coordinate figures at diagonal angle in quadrilateral area each described, it is determined that the coordinate interval group that each described quadrilateral area is corresponding；
Mapping relations according to default coordinate interval group Yu human organ, it is determined that the human organ that each quadrilateral area is corresponding, and store the corresponding relation of each quadrilateral area human organ corresponding with each quadrilateral area；
When the detection instruction of described disease symptoms triggers based on described touch operation, the step in the described region to be detected determined in described human body image model includes:
Determine the coordinate interval group that described touch operation is corresponding；
Coordinate interval group corresponding with each quadrilateral area for the described coordinate interval group determined is compared, the quadrilateral area corresponding to obtain described touch operation, and using the described quadrilateral area of acquisition as region to be detected.
4. the as claimed in claim 3 method detecting disease symptoms based on human body image, it is characterised in that the described step determining human organ corresponding to described region to be detected includes:
When described region to be detected includes multiple quadrilateral area, obtain the human organ that each described quadrilateral area is corresponding；
When the human organ obtained includes multiple human organ, the human organ corresponding as described region to be detected using each described human organ；
Or, when the human organ obtained includes multiple human organ, it is determined that each human organ accounts for the gross area of quadrilateral area the human organ corresponding as described region to be detected using accounting for the maximum human organ of the quadrilateral area gross area.
5. the method detecting disease symptoms based on human body image as described in any one of claim 1-4, it is characterised in that after the described step obtaining testing result according to the disease symptoms obtained, the described method based on human body image detection disease symptoms also includes:
Receiving when checking instruction of testing result, check, described in showing at default display interface, the testing result that instruction is corresponding；
When the described testing result of display is mated with default testing result, export the information about doctor of described default testing result association.
6. the device detecting disease symptoms based on human body image, it is characterised in that the described device based on human body image detection disease symptoms includes:
First determines module, for when receiving the disease symptoms detection instruction based on default human body image model triggering, it is determined that the region to be detected in described human body image model；
Second determines module, is additionally operable to determine the human organ that described region to be detected is corresponding；
Display module, for the incidence relation according to the human organ preset with disease symptoms, shows the disease symptoms that the human organ determined is corresponding；
Processing module, for when receiving based on the selection instruction of the disease symptoms input of display, obtaining testing result according to the disease symptoms that described selection instruction is corresponding.
7. the device detecting disease symptoms based on human body image as claimed in claim 6, it is characterised in that
When user inputs touch operation in described human body image model, trigger disease symptoms detection instruction；
Or, when click commands being detected in default selection control, eject the selection interface preset, in described selection interface, trigger disease symptoms detection instruction for user.
8. the device detecting disease symptoms based on human body image as claimed in claim 7, it is characterised in that the described device based on human body image detection disease symptoms also includes:
Segmentation module, for carrying out gridding segmentation to described human body image model according to preset ratio, so that described human body image model to be divided into the quadrilateral area of multiple equalization；
Mark module, for quadrilateral area each described being carried out coordinate labelling by two-dimensional coordinate system, with determine each described quadrilateral area corresponding respectively organize coordinate figure；
3rd determines module, for based on two groups of coordinate figures at diagonal angle in quadrilateral area each described, it is determined that the coordinate interval group that each described quadrilateral area is corresponding；
Described processing module, is additionally operable to the mapping relations according to the coordinate interval group preset with human organ, it is determined that the human organ that each quadrilateral area is corresponding, and stores the corresponding relation of each quadrilateral area human organ corresponding with each quadrilateral area；
When the detection instruction of described disease symptoms triggers based on described touch operation, described first determines that module includes:
Determine unit, for determining the coordinate interval group that described touch operation is corresponding；
First processing unit, for coordinate interval group corresponding with each quadrilateral area for the described coordinate interval group determined is compared, the quadrilateral area corresponding to obtain described touch operation, and using the described quadrilateral area of acquisition as region to be detected.
9. the device detecting disease symptoms based on human body image as claimed in claim 8, it is characterised in that described second determines that module includes:
Acquiring unit, for when described region to be detected includes multiple quadrilateral area, obtaining the human organ that each described quadrilateral area is corresponding；
Second processing unit, during for including multiple human organ at the human organ obtained, the human organ corresponding as described region to be detected using each described human organ；
Or, when the human organ obtained includes multiple human organ, it is determined that each human organ accounts for the gross area of quadrilateral area the human organ corresponding as described region to be detected using accounting for the maximum human organ of the quadrilateral area gross area.
10. the device detecting disease symptoms based on human body image as described in any one of claim 6-9, it is characterised in that
Described display module, is additionally operable to, receiving when checking instruction of testing result, check, described in showing at default display interface, the testing result that instruction is corresponding；
The described device based on human body image detection disease symptoms also includes:
Output module, for when the described testing result of display is mated with default testing result, exporting the information about doctor of described default testing result association.
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Address after: 518000 Guangdong Province Nanshan District Yuehai Street High-tech Industrial Park, Room 1101, Yuemeite Building, No. 1 South Seven Road, Gaoxin Applicant after: Cambridge (Shenzhen) Technology Co., Ltd. Address before: 518000 Guangdong Province Nanshan District Taoyuan Street Liuxian Avenue 1213 Zhongguan Honghualing Industrial South District 2 Building 2 Floor Applicant before: KONTRUE (SHENZHEN) TECHNOLOGY CO., LTD. |
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| GR01 | Patent grant | ||
| GR01 | Patent grant |