CN110334229A - Visual display method, equipment, system and computer readable storage medium - Google Patents
Visual display method, equipment, system and computer readable storage medium Download PDFInfo
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Abstract
The invention discloses a kind of visual display methods.The visual display method includes: the communication connection established between visual display device and intelligent pore cleanser instrument, and receives the blackhead image sequence that the intelligent pore cleanser instrument is sent based on the communication connection；Each blackhead image in the blackhead image sequence is handled based on default processing rule, obtains blackhead information, the blackhead information includes blackhead position and blackhead quantity；Blackhead is labeled in corresponding blackhead image according to the blackhead position, and the time sequencing based on the blackhead image sequence and default display mode are to blackhead image and blackhead quantity progress visualization display through marking.The invention also discloses a kind of visual display device, system and computer readable storage mediums.The present invention, which can be realized, carries out visualization display to blackhead information, to assist user to carry out blackhead absorption, while can understand blackhead convenient for user and absorb situation.
Description
Technical field
The present invention relates to visualization technique field more particularly to a kind of visual display method, equipment, system and computers
Readable storage medium storing program for executing.
Background technique
Blackhead is also known as blackhead, is open comedones, one kind " bolt " sample being made of sebum, cell bits and bacterium
Object is blocked at hair follicle opening and is formed, in addition dust, dirt and oxidation in air, make the one of its ingress of air
Head gradually blackening.Blackhead problem annoyings most people, and in order to remove blackhead, the method taken at present mainly has facial mask absorption method
With instrument absorption method, method its poor removal effect adsorbed using facial mask, while the facial mask of various chemical components is also easy
Skin is damaged.
Currently, many people absorb blackhead by pore cleanser instrument, need to observe by the naked eye blackhead position when in use, come true
Determine absorbing position, due to blackhead and dirty very little, naked eyes are more difficult to see blackhead clearly or therefore dirty position inevitably will appear some
Position is arrived there is no absorption or sordid situation is absorbed in some positions.Therefore, a kind of pair of blackhead information is needed to visualize
The method of display, to assist user to carry out blackhead absorption.
Above content is only used to facilitate the understanding of the technical scheme, and is not represented and is recognized that above content is existing skill
Art.
Summary of the invention
The main purpose of the present invention is to provide a kind of visual display method, equipment, system and computer-readable storages
Medium, it is intended to realize and visualization display is carried out to blackhead information, to assist user to carry out blackhead absorption.
To achieve the above object, the present invention provides a kind of visual display method, and the visual display method includes:
The communication connection between visual display device and intelligent pore cleanser instrument is established, and is received based on the communication connection
The blackhead image sequence that the intelligence pore cleanser instrument is sent；
Each blackhead image in the blackhead image sequence is handled based on default processing rule, obtains blackhead letter
Breath, the blackhead information includes blackhead position and blackhead quantity；
Blackhead is labeled in corresponding blackhead image according to the blackhead position, and is based on the blackhead image sequence
The time sequencing of column and default display mode are to blackhead image and blackhead quantity progress visualization display through marking.
Optionally, it is described based on default processing rule respectively to each blackhead image in the blackhead image sequence at
Reason, the step of obtaining blackhead information include:
Binary conversion treatment is carried out to each blackhead image in the blackhead image sequence, obtains binary image；
Contour detecting is carried out to the binary image, and according to testing result by there are profiles in the blackhead image
Region is as doubtful blackhead target；
The blackhead image is split based on the doubtful blackhead target, obtains the segmentation comprising doubtful blackhead target
Image；
Feature extraction is carried out to the segmented image, obtains image feature information, wherein described image characteristic information includes
One of color characteristic, shape feature and textural characteristics are a variety of；
Detection identification is carried out to described image characteristic information based on default detected rule, obtains blackhead information.
Optionally, each blackhead image in the blackhead image sequence carries out binary conversion treatment, obtains binaryzation
Before the step of image, further includes:
Image enhancement processing is carried out to each blackhead image in the blackhead image sequence；
Each blackhead image in the blackhead image sequence carries out binary conversion treatment, obtains the step of binary image
Suddenly include:
Binary conversion treatment is carried out to each blackhead image through image enhancement processing, obtains binary image.
Optionally, described that detection identification is carried out to described image characteristic information based on default detected rule, obtain blackhead letter
The step of breath includes:
Whether detection described image characteristic information meets preset condition；
If described image characteristic information meets preset condition, determine that the doubtful blackhead target in the segmented image is black
Head, and blackhead position is obtained according to judgement result；
The quantity that image feature information meets the segmented image of preset condition is obtained, to obtain blackhead quantity.
Optionally, described that detection identification is carried out to described image characteristic information based on default detected rule, obtain blackhead letter
The step of breath includes:
Image feature vector is constructed according to described image characteristic information, and calculates described image feature vector and default feature
Similarity value between vector；
Judge whether the similarity value is less than preset threshold；
If the similarity value is less than preset threshold, determine that the doubtful blackhead target in the segmented image is blackhead,
And blackhead position is obtained according to judgement result；
The quantity that similarity value is less than the segmented image of preset threshold is obtained, to obtain blackhead quantity.
Optionally, the visual display device includes presetting database, and it is black to be stored with history in the presetting database
Head data, the visual display method further include:
When receiving historical data comparison instruction, corresponding history blackhead data are obtained from the presetting database,
The history blackhead data include history blackhead image and its corresponding history blackhead information；
Statistics comparison is carried out to the history blackhead data, and corresponding historical data ratio is generated according to statistics comparison result
To report.
Optionally, the visual display method further include:
When receiving the display mode switching command of user's triggering, target is determined according to the display mode switching command
Display mode；
Based on the target display mode to through marking blackhead image and the blackhead quantity carry out visualization update it is aobvious
Show.
In addition, to achieve the above object, the present invention also provides a kind of visual display device, the visual display device
Include: memory, processor and be stored in the visualization display program that can be run on the memory and on the processor,
The step of visualization display program realizes visual display method as described above when being executed by the processor.
In addition, to achieve the above object, the present invention also provides a kind of visualization display system, the visualization display system
Including visual display device and intelligent pore cleanser instrument；Wherein,
The visual display device is visual display device as described above；
The intelligence pore cleanser instrument obtains black for the blackhead image by default frequency acquisition photographic subjects gettering region
Head image sequence, and based on the communication connection between the intelligent pore cleanser instrument and the visual display device, it will be described black
Head image sequence is sent to the visual display device.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
It is stored with visualization display program on storage medium, is realized when the visualization display program is executed by processor as described above
The step of visual display method.
The present invention provides a kind of visual display method, equipment, system and computer readable storage medium, can by establishing
Receive what intelligent pore cleanser instrument was sent depending on changing the communication connection between display equipment and intelligent pore cleanser instrument, and based on communication connection
Blackhead image sequence；Then, each blackhead image in blackhead image sequence is handled based on default processing rule, is obtained black
Head information, wherein blackhead information includes blackhead position and blackhead quantity；According to blackhead position to black in corresponding blackhead image
Head is labeled, and the time sequencing based on blackhead image sequence and default display mode are to blackhead image and blackhead through marking
Quantity carries out visualization display.By the above-mentioned means, the present invention can be achieved to identify the intelligent and high-efficiency of blackhead, to get blackhead
Information, and then blackhead is labeled according to the blackhead position in blackhead information, in order to which user understands the specific location of blackhead,
Can assist user carry out blackhead absorption, at the same time it can also to through marking blackhead image and absorb during blackhead quantity change
Change trend carries out visualization display, and blackhead can be understood convenient for user and absorbs progress and absorbs effect.
Detailed description of the invention
Fig. 1 is the terminal structure schematic diagram for the hardware running environment that the embodiment of the present invention is related to；
Fig. 2 is the flow diagram of visual display method first embodiment of the present invention；
Fig. 3 is the visualization display schematic diagram that visual display method first embodiment of the present invention is related to；
Fig. 4 is the refinement flow diagram of step S20 in visual display method first embodiment of the present invention；
Fig. 5 is the flow diagram of visual display method second embodiment of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Referring to Fig.1, Fig. 1 is the terminal structure schematic diagram for the hardware running environment that the embodiment of the present invention is related to.
The terminal of that embodiment of the invention can be smart phone, be also possible to PC (personal computer, individual calculus
Machine), tablet computer, the terminal device having a display function such as portable computer.
As shown in Figure 1, the terminal may include: processor 1001, such as CPU (Central Processing Unit,
Central processing unit), communication bus 1002, user interface 1003, network interface 1004, memory 1005.Wherein, communication bus
1002 for realizing the connection communication between these components.User interface 1003 may include display screen (Display), input list
First such as keyboard (Keyboard), optional user interface 1003 can also include standard wireline interface and wireless interface.Network connects
Mouth 1004 may include optionally standard wireline interface and wireless interface (such as Wireless Fidelity Wireless-Fidelity, Wi-Fi
Interface).Memory 1005 can be high speed RAM memory, be also possible to stable memory (non-volatile
), such as magnetic disk storage memory.Memory 1005 optionally can also be the storage dress independently of aforementioned processor 1001
It sets.
Optionally, terminal can also include camera, RF (Radio Frequency, radio frequency) circuit, sensor, audio
Circuit, Wi-Fi module etc..Wherein, sensor such as optical sensor, motion sensor and other sensors.Specifically, light
Sensor may include ambient light sensor and proximity sensor, wherein ambient light sensor can according to the light and shade of ambient light come
The brightness of display screen is adjusted, proximity sensor can close display screen and/or backlight when terminal is moved in one's ear.As movement
One kind of sensor, gravity accelerometer can detect the size of (generally three axis) acceleration in all directions, when static
Size and the direction that can detect that gravity can be used to identify application (such as the horizontal/vertical screen switching, related trip of mobile terminal posture
Play, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；Certainly, terminal can also configure gyro
The other sensors such as instrument, barometer, hygrometer, thermometer, infrared sensor, details are not described herein.
It will be understood by those skilled in the art that the restriction of the not structure paired terminal of terminal structure shown in Fig. 1, can wrap
It includes than illustrating more or fewer components, perhaps combines certain components or different component layouts.
As shown in Figure 1, as may include that operating system, network are logical in a kind of memory 1005 of computer storage medium
Believe module, Subscriber Interface Module SIM and visualization display program.
In terminal shown in Fig. 1, network interface 1004 is mainly used for connecting background server, carries out with background server
Data communication；User interface 1003 is mainly used for connecting client, carries out data communication with client；And processor 1001 can be with
For calling the visualization display program stored in memory 1005, and execute following operation:
The communication connection between visual display device and intelligent pore cleanser instrument is established, and is received based on the communication connection
The blackhead image sequence that the intelligence pore cleanser instrument is sent；
Each blackhead image in the blackhead image sequence is handled based on default processing rule, obtains blackhead letter
Breath, the blackhead information includes blackhead position and blackhead quantity；
Blackhead is labeled in corresponding blackhead image according to the blackhead position, and is based on the blackhead image sequence
The time sequencing of column and default display mode are to blackhead image and blackhead quantity progress visualization display through marking.
Further, processor 1001 can call the visualization display program stored in memory 1005, also execute with
Lower operation:
Binary conversion treatment is carried out to each blackhead image in the blackhead image sequence, obtains binary image；
Contour detecting is carried out to the binary image, and according to testing result by there are profiles in the blackhead image
Region is as doubtful blackhead target；
The blackhead image is split based on the doubtful blackhead target, obtains the segmentation comprising doubtful blackhead target
Image；
Feature extraction is carried out to the segmented image, obtains image feature information, wherein described image characteristic information includes
One of color characteristic, shape feature and textural characteristics are a variety of；
Detection identification is carried out to described image characteristic information based on default detected rule, obtains blackhead information.
Further, processor 1001 can call the visualization display program stored in memory 1005, also execute with
Lower operation:
Image enhancement processing is carried out to each blackhead image in the blackhead image sequence；
Each blackhead image in the blackhead image sequence carries out binary conversion treatment, obtains the step of binary image
Suddenly include:
Binary conversion treatment is carried out to each blackhead image through image enhancement processing, obtains binary image.
Further, processor 1001 can call the visualization display program stored in memory 1005, also execute with
Lower operation:
Whether detection described image characteristic information meets preset condition；
If described image characteristic information meets preset condition, determine that the doubtful blackhead target in the segmented image is black
Head, and blackhead position is obtained according to judgement result；
The quantity that image feature information meets the segmented image of preset condition is obtained, to obtain blackhead quantity.
Further, processor 1001 can call the visualization display program stored in memory 1005, also execute with
Lower operation:
Image feature vector is constructed according to described image characteristic information, and calculates described image feature vector and default feature
Similarity value between vector；
Judge whether the similarity value is less than preset threshold；
If the similarity value is less than preset threshold, determine that the doubtful blackhead target in the segmented image is blackhead,
And blackhead position is obtained according to judgement result；
The quantity that similarity value is less than the segmented image of preset threshold is obtained, to obtain blackhead quantity.
Further, the visual display device includes presetting database, is stored with history in the presetting database
Blackhead data, processor 1001 can call the visualization display program stored in memory 1005, also execute following operation:
When receiving historical data comparison instruction, corresponding history blackhead data are obtained from the presetting database,
The history blackhead data include history blackhead image and its corresponding history blackhead information；
Statistics comparison is carried out to the history blackhead data, and corresponding historical data ratio is generated according to statistics comparison result
To report.
Further, processor 1001 can call the visualization display program stored in memory 1005, also execute with
Lower operation:
When receiving the display mode switching command of user's triggering, target is determined according to the display mode switching command
Display mode；
Based on the target display mode to through marking blackhead image and the blackhead quantity carry out visualization update it is aobvious
Show.
Based on above-mentioned hardware configuration, each embodiment of visual display method of the present invention is proposed.
The present invention provides a kind of visual display method.
It is the flow diagram of visual display method first embodiment of the present invention referring to Fig. 2, Fig. 2.
In the present embodiment, which includes:
Step S10 establishes the communication connection between visual display device and intelligent pore cleanser instrument, and is based on the communication
Connection receives the blackhead image sequence that the intelligent pore cleanser instrument is sent；
In the present embodiment, which is realized by visual display device, which can be intelligent hand
The terminals such as machine, PC, Portable notebook.For convenience of description, it is illustrated by taking smart phone as an example in the present embodiment.
In the present embodiment, the communication connection between visual display device and intelligent pore cleanser instrument is first established, and is based on
Communication connection receives the blackhead image sequence that intelligent pore cleanser instrument is sent.It include control module, camera shooting mould in intelligent pore cleanser instrument
Block and communication module, wherein photographing module is used to shoot the blackhead image of gettering region；Control module is for controlling photographing module
It is shot by default frequency acquisition (5 frame such as per second), specifically, can be for the blackhead image that same gettering region is shot
A blackhead image sequence is constituted by the sequencing of shooting time, each blackhead image sequence corresponds to different zone numbers, then
Blackhead image sequence is sent to visual display device (such as smart phone) by communicating to connect；Communication module be used for it is visual
Change display equipment to be communicatively coupled, to carry out data exchange.Communication connection establish mode can include but is not limited to it is following
Mode: 1) technology (such as bluetooth, Wi-Fi) establishes the communication link between mobile phone and intelligent pore cleanser instrument equipment by wireless communication
It connects；2) intelligent pore cleanser instrument and mobile phone terminal are connected by USB data line, to establish communication connection.It should be noted that in reality
In transmission process, intelligent pore cleanser instrument is that the blackhead image for obtaining shooting is sent to visual display device in real time.
Step S20 handles each blackhead image in the blackhead image sequence based on default processing rule, obtains
Blackhead information, the blackhead information include blackhead position and blackhead quantity；
After receiving the blackhead image sequence that intelligent pore cleanser instrument is sent, based on default processing rule to blackhead image sequence
Each blackhead image in column is handled, and blackhead information is obtained, wherein blackhead information includes blackhead position and blackhead quantity.Tool
Body, binary conversion treatment is carried out to each blackhead image in blackhead image sequence, obtains binary image；Then, to binaryzation
Image carries out contour detecting, and using in blackhead image, there are the regions of profile as doubtful blackhead target according to testing result；Base
Blackhead image is split in doubtful blackhead target, obtains the segmented image comprising doubtful blackhead target；To segmented image into
Row feature extraction obtains image feature information, and then carries out detection identification to image feature information based on default detected rule, obtains
To blackhead position and blackhead quantity.Specific treatment process can refer to following embodiments, not repeat herein.
Step S30 is labeled blackhead in corresponding blackhead image according to the blackhead position, and based on described black
Head image sequence time sequencing and default display mode to through marking blackhead image and the blackhead quantity visualize
Display.
After obtaining blackhead position and blackhead quantity, blackhead is marked in corresponding blackhead image according to blackhead position
Note, and the time sequencing based on blackhead image sequence and default display mode to through marking blackhead image and blackhead quantity carry out
Visualization display.Specifically, preset pattern can be used and carry out delineation mark to blackhead, then root when being labeled to blackhead
According to number (can be according to time sequencing number consecutively) of the blackhead image in corresponding blackhead image sequence and default aobvious
Show mode (such as longitudinal arrangement mode), visualization display is carried out to the blackhead image through marking.As shown in figure 3, circle can be used
Delineation mark is carried out to blackhead, then longitudinally successively shows the blackhead image through marking by the time sequencing of blackhead image sequence
(the blackhead image of intermediate number is not shown in Fig. 3).Certainly, it when carrying out visualization display to image, can also only display pass through
The initial blackhead image (the blackhead image that number is 1 i.e. in blackhead image sequence) of mark and the real-time blackhead image through marking
(referring to that is be currently received belongs to the blackhead image of same blackhead image sequence with initial blackhead image), can be intuitive convenient for user
Ground understands initial blackhead situation and current blackhead situation in the gettering region, while being recognized that not by the position of absorption blackhead
It sets, is absorbed with diverting intelligent pore cleanser instrument.For the visualization display of blackhead quantity, line chart, histogram etc. can be used
Mode is shown, in order to which user can be appreciated that the variation tendency of blackhead quantity.
The embodiment of the present invention provides a kind of visual display method, by establishing visual display device and intelligent pore cleanser
Communication connection between instrument, and the blackhead image sequence that intelligent pore cleanser instrument is sent is received based on communication connection；Then, based on pre-
If processing rule handles each blackhead image in blackhead image sequence, blackhead information is obtained, wherein blackhead information includes
Blackhead position and blackhead quantity；Blackhead is labeled in corresponding blackhead image according to blackhead position, and is based on blackhead figure
As the time sequencing of sequence and default display mode are to blackhead image and blackhead quantity progress visualization display through marking.Pass through
Aforesaid way, the present embodiment can realize the intelligent and high-efficiency identification to blackhead, to get blackhead information, and then according to blackhead information
In blackhead position blackhead is labeled, in order to user understand blackhead specific location, can assist user carry out blackhead suction
It removes, at the same time it can also which to the blackhead image through marking and during absorbing, the variation tendency of blackhead quantity carries out visualization display,
Blackhead can be understood convenient for user to absorb progress and absorb effect.
It further, is the refinement stream of step S20 in visual display method first embodiment of the present invention referring to Fig. 4, Fig. 4
Journey schematic diagram.Specifically, step S20 includes:
Step S21 carries out binary conversion treatment to each blackhead image in the blackhead image sequence, obtains binary picture
Picture；
In the present embodiment, after receiving the blackhead image sequence that intelligent pore cleanser instrument is sent, first to blackhead image
Each blackhead image in sequence carries out binary conversion treatment respectively, obtains the corresponding binary image of each blackhead image.Wherein, two-value
Change processing, refers to that the gray value by the pixel on gray level image to be detected is set as 0 or 255, so that whole image be made to present
Apparent black and white effect out, obtains corresponding bianry image, in the present embodiment, as a preferred embodiment, can be used adaptive
This method of threshold value is answered to carry out binary conversion treatment, wherein the determination of adaptive threshold can be according to the pixel value of the neighborhood block of pixel
Distribution is to determine the binarization threshold on the location of pixels, this have the advantage that the binarization threshold of each pixel position
It is not fixed and invariable, but determined by the distribution of its surrounding neighbors pixel.The binaryzation of the higher image-region of brightness
Threshold value would generally be higher, and the binarization threshold of the lower image-region of brightness then can adaptably become smaller.As another preferred
Embodiment can also carry out binary conversion treatment using following methods: be read respectively by image reading function imread () function
Take each blackhead image in blackhead image sequence, respectively obtain the corresponding numpy of each blackhead image (a kind of open source of Python
Scientific algorithm library) array, i.e., then corresponding RGB (RGB) value of each each pixel of blackhead image traverses numpy array, with
Color statistics is carried out to the rgb value of each blackhead image extracted respectively, by RGB corresponding to statistical value maximum in statistical result
Value is determined as colour of skin rgb value, and then by the conversion formula between rgb value and gray value, will be corresponding to the maximum statistical value
RGB be converted into gray value, and the gray value is set as targets threshold, and binary conversion treatment is carried out according to the targets threshold,
Wherein, the conversion formula between rgb value and gray value can be with are as follows: gray value=(R*30+G*59+B*11+50)/100.
Step S22 carries out contour detecting to the binary image, and will deposit in the blackhead image according to testing result
In the region of profile as doubtful blackhead target；
Then, contour detecting is carried out to binary image, and according to testing result by the area in blackhead image there are profile
Domain is as doubtful blackhead target.Wherein, contour detecting refers in the digital picture comprising target and background, ignores background and mesh
The influence of texture and noise jamming inside mark, the process of contour extraction of objects is realized using certain technology and methods,
In simple terms, it can be understood as the set of the continuity point positioned at boundary with same color or density in image.Contour detecting
It can be by OpenCV (Open Source Computer Vision Library, computer vision library of increasing income)
Profile is calculated in findContours () function.The profile obtained by contour detecting is to be different from normal skin in image
The dirt of skin, such as the thing of blackhead and acne or other doubtful blackheads, such as mole can be according to testing result by blackhead image
It is middle that there are the regions of profile as doubtful blackhead target.
Step S23 is split the blackhead image based on the doubtful blackhead target, obtains comprising doubtful blackhead mesh
Target segmented image；
After determining the doubtful blackhead target in blackhead image, blackhead image is divided based on doubtful blackhead target
It cuts, obtains the segmented image comprising doubtful blackhead target.Wherein, the quantity of segmented image is the number for being equal to doubtful blackhead target
It measures, includes a doubtful blackhead target in each segmented image, when being split, can be intercepted according to the shape of each profile
The boundary rectangle of each profile, as segmented image.
Step S24 carries out feature extraction to the segmented image, obtains image feature information, wherein described image feature
Information includes one of color characteristic, shape feature and textural characteristics or a variety of；
Then, feature extraction is carried out to each segmented image respectively, obtains image feature information.Wherein, characteristics of image is believed
Breath includes one of color characteristic, shape feature and textural characteristics or a variety of, and specific feature extracting method can refer to existing
Technology does not repeat herein.Certainly, in addition to features described above, in a particular embodiment, other characteristic informations can also be extracted, so
Detection identification is carried out to image feature information in conjunction with various correlated characteristic information afterwards.It is understood that the feature selected is got over
More, the accuracy of recognition result is higher.In addition, it should be noted that, each feature can be made of one or more index parameters, face
Color characteristic includes master color (i.e. the highest color of ratio) ratio shared in whole picture segmented image, and the RGB of master color is (red green
It is blue) index parameters such as value, HSV (tone H, saturation degree S, lightness V) value of master color it is one or more, shape feature includes week
The index parameters such as length, area, the longest axis, azimuth, boundary matrix, form factor, eccentricity, circularity it is one or more,
Textural characteristics include one of index parameters such as energy, entropy, contrast and correlation or a variety of.It is, of course, understood that
Index parameter included by features described above is not limited to above-mentioned enumerate.
Step S25 carries out detection identification to described image characteristic information based on default detected rule, obtains blackhead information.
Finally, carrying out detection identification to image feature information based on default detected rule, blackhead information is obtained, wherein black
Head information includes blackhead position and blackhead quantity.Specifically, step S25 may include:
Whether step a1, detection described image characteristic information meet preset condition；
As one of blackhead information acquiring pattern, whether preset condition can be met by detection image characteristic information,
To judge whether doubtful blackhead target is blackhead.Wherein, preset condition can be set as the feature item that each characteristic information need to meet
Part, characteristic condition can be set as in certain threshold range, if each characteristic information meets its corresponding condition or each feature respectively
When information meets its respective conditions quantity and reaches preset value, then determine that image feature information meets preset condition.Preset condition root
Set according to actual conditions, image feature information whether meet preset condition decision procedure can also according to the actual situation into
Row setting, is not especially limited herein.
Step a2 determines the doubtful blackhead in the segmented image if described image characteristic information meets preset condition
Target is blackhead, and obtains blackhead position according to judgement result；
Step a3 obtains the quantity that image feature information meets the segmented image of preset condition, to obtain blackhead quantity.
If it is determined that image feature information meets preset condition, at this point, then determining that the doubtful blackhead target in segmented image is
Blackhead, and blackhead position is obtained according to judgement result.It is then also possible to obtain the segmentation that image feature information meets preset condition
The quantity of image, to obtain blackhead quantity, blackhead quantity is the segmented image for being equal to image feature information and meeting preset condition
Quantity.
Step S25 can also include:
Step a4, according to described image characteristic information construct image feature vector, and calculate described image feature vector with
Similarity value between default feature vector；
As another blackhead information acquiring pattern, image feature vector can also be constructed according to image feature information, and
The similarity value between image feature vector and default feature vector is calculated, doubtful blackhead mesh is then judged according to similarity value
Whether mark is blackhead.Specifically, can construct to obtain characteristics of image by preset order according to index parameter each in image feature information
Vector, such as { v1,v2,…,vn, wherein v1, v2..., vnRespectively indicate each index parameter.In addition, default feature vector is basis
The index parameter of real blackhead is preset, and construction method is similar to the construction method of image feature vector, presets spy
Levying vector may include one or more, when to be multiple, can determine whether in the multiple similarity values being calculated with the presence or absence of small
In the similarity value of preset threshold, and if it exists, then judge the doubtful blackhead target in segmented image for blackhead.For similarity value
Calculation, phase between the two can be characterized by cosine similarity or Jie Kade Jaccard distance, Euclidean distance etc.
Like angle value.
Step a5, judges whether the similarity value is less than preset threshold；
Step a6 determines the doubtful blackhead target in the segmented image if the similarity value is less than preset threshold
For blackhead, and according to determining that result obtains blackhead position；
Step a7 obtains the quantity that similarity value is less than the segmented image of preset threshold, to obtain blackhead quantity.
Both then judge whether the similarity value is less than preset threshold, if the similarity value is less than preset threshold, illustrate
It is more similar, at this point, then determining that the doubtful blackhead target in segmented image is blackhead, and blackhead position is obtained according to judgement result
It sets.And then the quantity that similarity value is less than the segmented image of preset threshold is obtained, to obtain blackhead quantity.If the similarity value is big
In or equal to preset threshold, illustrate that the two difference is larger, at this point, then determining that the doubtful blackhead target in segmented image is not black
Head.
By the above-mentioned means, the present embodiment can be realized to the identification of the intelligent and high-efficiency of blackhead, with get blackhead information (including
Blackhead position and blackhead quantity), and then by these blackhead information of visualization display, the blackhead position of oneself can be understood convenient for user
Set with blackhead quantity, and then control intelligent pore cleanser instrument.
Further, it is based on the various embodiments described above mode, proposes the second embodiment of visual display method of the present invention.
Referring to Fig. 5, in the present embodiment, it is based on first embodiment shown in Fig. 2, the visual display device includes pre-
If database, history blackhead data are stored in the presetting database, after step S30, the visual display method is also
Include:
It is black to obtain corresponding history when receiving historical data comparison instruction from the presetting database by step S40
Head data, the history blackhead data include history blackhead image and its corresponding history blackhead information；
In the present embodiment, which includes presetting database, for storing history blackhead data.Specifically
, it, can be according to the zone number in blackhead image sequence, never with black corresponding to zone number at the end of each blackhead is absorbed
In head image sequence, target blackhead image is obtained out, and obtain blackhead information corresponding with the target blackhead image, and then by mesh
Mark blackhead image and blackhead information corresponding with target blackhead image are stored into presetting database.Wherein, target blackhead image
Absorption including different zones start before blackhead image and absorb at the end of blackhead image.It should be noted that specific
In embodiment, cloud shared data bank can be used also to substitute presetting database, the target that visual display device will acquire
Blackhead image and its corresponding blackhead information are stored into cloud shared data bank.
In the present embodiment, visual display device is when receiving historical data comparison instruction, from presetting database
Obtaining corresponding history blackhead data, history blackhead data include history blackhead image and its corresponding history blackhead information,
In, when history blackhead image includes each progress blackhead absorption of history, the absorption of each gettering region start before blackhead image and
Blackhead image at the end of absorption；History blackhead information includes blackhead position corresponding to each history blackhead image and blackhead number
Amount.
Step S50 carries out statistics comparison to the history blackhead data, and generates corresponding go through according to statistics comparison result
The report of history comparing.
After getting history blackhead data, statistics comparison is carried out to history blackhead data, knot is then compared according to statistics
Fruit generates corresponding historical data and compares report.Carry out statistics compare when, can with the time corresponding to blackhead image (i.e. into
The time that row blackhead is absorbed) it is dimension, situation, which is absorbed, for each secondary blackhead carries out lateral comparison.It is, of course, also possible to respectively to each
The initial blackhead quantity (absorbing blackhead quantity corresponding to the blackhead image before starting) in secondary blackhead each region when absorbing and suction
After removing blackhead quantity (i.e. absorb at the end of blackhead image corresponding to blackhead quantity) sum up statistics, obtain each time it is black
Blackhead total quantity after initial blackhead total quantity and absorption when head is absorbed, and then the clearance rate that each secondary blackhead is absorbed is calculated, with right
Each clearance rate compares statistics；Or blackhead total quantity carries out pair respectively to each initial blackhead total quantity and after absorbing
Than statistics.Certainly, comparison rules are specifically counted, can be set in advance according to actual needs, it is above-mentioned only for example, do not make
For the restriction to the embodiment of the present invention.
In the present embodiment, by carrying out statistics comparison to history blackhead data, and then generates historical data and compare report, it can
Report is compared by the historical data convenient for user and understands each blackhead absorption situation, to learn the black of intelligent pore cleanser instrument
Head absorbs effect, while will be seen that the situation of change of itself blackhead.
Further, it is based on the various embodiments described above mode, proposes the 3rd embodiment of visual display method of the present invention.
In the present embodiment, it is based on first embodiment shown in Fig. 2, after step S30, the visual display method is also
Include:
Step A, it is true according to the display mode switching command when receiving the display mode switching command of user's triggering
Set the goal display mode；
Step B, based on the target display mode to through marking blackhead image and the blackhead quantity visualize
Update display.
In the present embodiment, it is possible to provide multiple display modes can mention so that user selects display mode according to itself preference
Rise user experience.Specifically, user can click aobvious in the visualization display interface of visual display device (such as smart phone)
Show mode switching push button or display mode handoff options, and select required target display mode, and then can trigger display mode
Switching command, at this point, visual display device receive user triggering display mode switching command when, according to the display side
Formula switching command determines target display mode, then, based on determining obtained target display mode to the blackhead image through marking
Visualization, which is carried out, with blackhead quantity updates display.Wherein, it is (black to can include but is not limited to layout display mode for target display mode
The relative position of head image and blackhead quantity is laid out display mode), the visualization display format of blackhead image (it is such as transversely arranged,
Longitudinal arrangement), the visualization display format (such as line chart, histogram) of blackhead quantity.
In the present embodiment, user can select the display mode liked according to personal preference, and then be shown with target to through marking
The blackhead image and blackhead quantity of note carry out visualization and update display, can promote user experience.
The present invention also provides a kind of visualization display system, which includes visual display device and intelligence
It can pore cleanser instrument；Wherein,
The visual display device is visualization device as described above, can be used for executing above-mentioned visualization display side
Each step in method, specific implementation procedure can refer to the various embodiments described above, do not repeat herein；
The intelligence pore cleanser instrument obtains black for the blackhead image by default frequency acquisition photographic subjects gettering region
Head image sequence, and based on the communication connection between intelligent pore cleanser instrument and visual display device, blackhead image sequence is sent out
It send to visual display device.In addition, the blackhead that intelligent pore cleanser instrument can be also used for receiving user's triggering absorbs instruction, and root
It absorbs to instruct according to the blackhead and determines that target absorbs gear, absorbed with absorbing gear according to the target.It is also used to receive blackhead
Data such as blackhead quantity and blackhead size, and then intelligently determine that according to blackhead data, blackhead absorbs parameter (including suction size
With absorption frequency), and absorb parameter by the blackhead and absorbed.
The present invention also provides a kind of computer readable storage medium, visualization is stored on the computer readable storage medium
It shows program, realizes that the visualization as described in any of the above item embodiment is aobvious when the visualization display program is executed by processor
The step of showing method.
The specific embodiment of computer readable storage medium of the present invention and each embodiment of above-mentioned visual display method are basic
Identical, therefore not to repeat here.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of visual display method, which is characterized in that the visual display method the following steps are included:
The communication connection between visual display device and intelligent pore cleanser instrument is established, and based on described in communication connection reception
The blackhead image sequence that intelligent pore cleanser instrument is sent；
Each blackhead image in the blackhead image sequence is handled based on default processing rule, obtains blackhead information, institute
Stating blackhead information includes blackhead position and blackhead quantity；
Blackhead is labeled in corresponding blackhead image according to the blackhead position, and based on the blackhead image sequence
Time sequencing and default display mode are to blackhead image and blackhead quantity progress visualization display through marking.
2. visual display method as described in claim 1, which is characterized in that described regular respectively to institute based on default processing
Stating the step of each blackhead image in blackhead image sequence is handled, obtains blackhead information includes:
Binary conversion treatment is carried out to each blackhead image in the blackhead image sequence, obtains binary image；
Contour detecting is carried out to the binary image, and according to testing result by there are the regions of profile in the blackhead image
As doubtful blackhead target；
The blackhead image is split based on the doubtful blackhead target, obtains the segmentation figure comprising doubtful blackhead target
Picture；
Feature extraction is carried out to the segmented image, obtains image feature information, wherein described image characteristic information includes color
One of feature, shape feature and textural characteristics are a variety of；
Detection identification is carried out to described image characteristic information based on default detected rule, obtains blackhead information.
3. visual display method as claimed in claim 2, which is characterized in that described to each in the blackhead image sequence
Before the step of blackhead image carries out binary conversion treatment, obtains binary image, further includes:
Image enhancement processing is carried out to each blackhead image in the blackhead image sequence；
The step of each blackhead image in the blackhead image sequence carries out binary conversion treatment, obtains binary image packet
It includes:
Binary conversion treatment is carried out to each blackhead image through image enhancement processing, obtains binary image.
4. visual display method as claimed in claim 2, which is characterized in that described to be based on default detected rule to the figure
As characteristic information carries out detection identification, the step of obtaining blackhead information, includes:
Whether detection described image characteristic information meets preset condition；
If described image characteristic information meets preset condition, determine that the doubtful blackhead target in the segmented image is blackhead,
And blackhead position is obtained according to judgement result；
The quantity that image feature information meets the segmented image of preset condition is obtained, to obtain blackhead quantity.
5. visual display method as claimed in claim 2, which is characterized in that described to be based on default detected rule to the figure
As characteristic information carries out detection identification, the step of obtaining blackhead information, includes:
Image feature vector is constructed according to described image characteristic information, and calculates described image feature vector and default feature vector
Between similarity value；
Judge whether the similarity value is less than preset threshold；
If the similarity value is less than preset threshold, determine that the doubtful blackhead target in the segmented image is blackhead, and root
Blackhead position is obtained according to judgement result；
The quantity that similarity value is less than the segmented image of preset threshold is obtained, to obtain blackhead quantity.
6. the visual display method as described in any one of claims 1 to 5, which is characterized in that the visualization display is set
Standby includes presetting database, is stored with history blackhead data, the visual display method in the presetting database further include:
When receiving historical data comparison instruction, corresponding history blackhead data are obtained from the presetting database, it is described
History blackhead data include history blackhead image and its corresponding history blackhead information；
Statistics comparison is carried out to the history blackhead data, and corresponding historical data is generated according to statistics comparison result and compares report
It accuses.
7. the visual display method as described in any one of claims 1 to 5, which is characterized in that the visualization display side
Method further include:
When receiving the display mode switching command of user's triggering, determine that target is shown according to the display mode switching command
Mode；
Based on the target display mode to through marking blackhead image and the blackhead quantity carry out visualization update display.
8. a kind of visual display device, which is characterized in that the visual display device includes: memory, processor and deposits
The visualization display program that can be run on the memory and on the processor is stored up, the visualization display program is by institute
State the step of realizing the visual display method as described in any one of claims 1 to 7 when processor executes.
9. a kind of visualization display system, which is characterized in that the visualization display system includes visual display device and intelligence
It can pore cleanser instrument；Wherein,
The visual display device is visual display device as claimed in claim 8；
The intelligence pore cleanser instrument obtains blackhead figure for the blackhead image by default frequency acquisition photographic subjects gettering region
As sequence, and based on the communication connection between the intelligent pore cleanser instrument and the visual display device, by the blackhead figure
As sequence is sent to the visual display device.
10. a kind of computer readable storage medium, which is characterized in that be stored with visualization on the computer readable storage medium
It shows program, is realized when the visualization display program is executed by processor visual as described in any one of claims 1 to 7
The step of changing display methods.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114724133A (en) * | 2022-04-18 | 2022-07-08 | 北京百度网讯科技有限公司 | Character detection and model training method, device, equipment and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0828228A2 (en) * | 1996-09-05 | 1998-03-11 | Canon Aptex Kabushiki Kaisha | Image forming apparatus and method |
| US20090137908A1 (en) * | 2007-11-26 | 2009-05-28 | Patwardhan Sachin V | Multi-spectral tissue imaging |
| CN104299011A (en) * | 2014-10-13 | 2015-01-21 | 吴亮 | Skin type and skin problem identification and detection method based on facial image identification |
| CN104463782A (en) * | 2013-09-16 | 2015-03-25 | 联想(北京)有限公司 | Image processing method, device and electronic apparatus |
| US20150374277A1 (en) * | 2014-06-30 | 2015-12-31 | Canfield Scientific, Incorporated | Acne imaging methods and apparatus |
| CN107958453A (en) * | 2017-12-01 | 2018-04-24 | 深圳蓝韵医学影像有限公司 | Detection method, device and the computer-readable storage medium of galactophore image lesion region |
| CN108322606A (en) * | 2018-01-30 | 2018-07-24 | 努比亚技术有限公司 | A kind of screen opening method, terminal and computer readable storage medium |
| CN108323203A (en) * | 2017-07-17 | 2018-07-24 | 深圳和而泰智能控制股份有限公司 | A kind of method, apparatus and intelligent terminal quantitatively detecting face skin quality parameter |
| CN108647566A (en) * | 2018-03-29 | 2018-10-12 | 维沃移动通信有限公司 | A kind of method and terminal of identification skin characteristic |
| CN109544516A (en) * | 2018-11-05 | 2019-03-29 | 深圳和而泰数据资源与云技术有限公司 | Image detecting method and device |
-
2019
- 2019-04-30 CN CN201910353469.6A patent/CN110334229A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0828228A2 (en) * | 1996-09-05 | 1998-03-11 | Canon Aptex Kabushiki Kaisha | Image forming apparatus and method |
| US20090137908A1 (en) * | 2007-11-26 | 2009-05-28 | Patwardhan Sachin V | Multi-spectral tissue imaging |
| CN104463782A (en) * | 2013-09-16 | 2015-03-25 | 联想(北京)有限公司 | Image processing method, device and electronic apparatus |
| US20150374277A1 (en) * | 2014-06-30 | 2015-12-31 | Canfield Scientific, Incorporated | Acne imaging methods and apparatus |
| CN104299011A (en) * | 2014-10-13 | 2015-01-21 | 吴亮 | Skin type and skin problem identification and detection method based on facial image identification |
| CN108323203A (en) * | 2017-07-17 | 2018-07-24 | 深圳和而泰智能控制股份有限公司 | A kind of method, apparatus and intelligent terminal quantitatively detecting face skin quality parameter |
| CN107958453A (en) * | 2017-12-01 | 2018-04-24 | 深圳蓝韵医学影像有限公司 | Detection method, device and the computer-readable storage medium of galactophore image lesion region |
| CN108322606A (en) * | 2018-01-30 | 2018-07-24 | 努比亚技术有限公司 | A kind of screen opening method, terminal and computer readable storage medium |
| CN108647566A (en) * | 2018-03-29 | 2018-10-12 | 维沃移动通信有限公司 | A kind of method and terminal of identification skin characteristic |
| CN109544516A (en) * | 2018-11-05 | 2019-03-29 | 深圳和而泰数据资源与云技术有限公司 | Image detecting method and device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114724133A (en) * | 2022-04-18 | 2022-07-08 | 北京百度网讯科技有限公司 | Character detection and model training method, device, equipment and storage medium |
| CN114724133B (en) * | 2022-04-18 | 2024-02-02 | 北京百度网讯科技有限公司 | Text detection and model training method, device, equipment and storage medium |
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