CN106419833B - Scalp detection system and scalp detection method - Google Patents

Scalp detection system and scalp detection method Download PDF

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CN106419833B
CN106419833B CN201510469315.5A CN201510469315A CN106419833B CN 106419833 B CN106419833 B CN 106419833B CN 201510469315 A CN201510469315 A CN 201510469315A CN 106419833 B CN106419833 B CN 106419833B
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scalp
density
amount
fine
primary
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CN106419833A (en
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陈俊伟
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Meike Industrial Co Ltd
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Meike Industrial Co Ltd
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Abstract

The present invention provides a kind of scalp detection system, including a scalp detector and a scalp detect program, and it includes a computing module, a data module and a determination module that scalp, which detects program,.Scalp detector is the image for the detected part scalp of the image and the detected person that shoot the rear scalp of a detected person.In addition, computing module calculates the density of the density of a primary normal hair amount of rear scalp, the density of a primary fine amount and a primary total hair amount according to the image of rear scalp.Data module can show a primary fine density ratio, a fine density ratio to be measured and a total hair metric density ratio.Determination module provides a corresponding total hair amount status analysis according to total hair metric density ratio.The invention has the advantages that detected person can be helped accurately to understand the situation of shaving one's head of itself scalp.

Description

Scalp detection system and scalp detection method
Technical field
The present invention relates to a kind of scalp detection system and scalp detection methods, are about a kind of utilization more particularly The scalp detection system and scalp detection method that primary scalp is compared with other position scalps.
Background technique
Modern life pressure is big, problem of shaving one's head increasingly rejuvenation, no longer only occurs on the body of the elderly.Although male Property bald patient shave one's head to body that there is no adverse effects, but in work, interpersonal relationships, or even when making friends, but generate pole Big mental handicape.Start the male of hair loss, and resorts to every conceivable means and want to prevent hair loss, or even hair length is returned.But Wait for information folk prescription as a result, being not only blank wall, it is also possible to cause hair loss more serious.Doctor and expert think, have to add Strong scalp cleaning, if " male is bald " that can not really retrieve, now with external application, drug for oral administration, or even there are also hair transplants to perform the operation. In addition, can more rescue hair loss crisis if can find to handle early early.However, the method for traditional detection scalp (only uses scalp Detector checks the state of scalp) it is not accurate enough for the judgement of the situation of shaving one's head of scalp, it is not easy to find bareheaded sign in advance.
Therefore, how the situation of shaving one's head of accurate detection scalp, be that one skilled in the art is worth considering Ground.
Summary of the invention
The purpose of the present invention is to provide a scalp detection system and scalp detection method, the scalp detection system and scalp Detection method can help detected person accurately to understand the situation of shaving one's head of itself scalp.
Based on above-mentioned purpose and other purposes, the present invention provides a kind of scalp detection system, including a scalp detector and One scalp detects program, and it includes a computing module, a data module and a determination module that scalp, which detects program,.Scalp detector It is the image for the detected part scalp of the image and the detected person that shoot the rear scalp of a detected person.In addition, meter Calculate module according to the image of rear scalp calculate the density of a primary normal hair amount of rear scalp, a primary fine amount it is close The density of degree and a primary total hair amount.Wherein, the numerical value of the density of primary total hair amount be primary normal hair amount density with it is primary The summation of the density of fine amount.In addition, computing module calculates the one of detected part scalp according to the image of detected part scalp The density of the density of normal hair amount to be measured, the density of a fine amount to be measured and a total hair amount to be measured, the density of total hair amount to be measured Numerical value is the summation of the density of normal hair amount to be measured and the density of fine amount to be measured.In addition, data module can show that one is primary thin Density ratio, a fine density ratio to be measured and a total hair metric density ratio are sent out, and primary fine density ratio is the density of primary fine amount With the ratio of the density of primary total hair amount;Fine density ratio to be measured is the close of density and the total hair amount to be measured of the fine amount to be measured The ratio of degree;Ratio of the total hair metric density than the density of density and primary total hair amount for total hair amount to be measured.In addition, determining mould Block provides a corresponding total hair amount status analysis according to total hair metric density ratio.
In above-mentioned scalp detection system, wherein data module can also show a fine density variation value, fine density contrast Different value is that fine density ratio to be measured cuts the numerical value of the primary fine density ratio, and determination module according to fine density variation value and One corresponding fine hair amount status analysis is provided.
In above-mentioned scalp detection system, wherein scalp detector is the shadow that rear scalp is shot using the mode of low range The image of picture and detected part scalp.
The present invention provides a kind of scalp detection system, including a scalp detector and a scalp detect program, scalp detection Program includes a computing module, a data module and a determination module.Wherein, scalp detector is detected for shooting one The image of the detected part scalp of the image and detected person of the rear scalp of person.In addition, computing module is according to rear scalp Image calculate rear scalp a primary hair shaft diameter, and computing module according to the detected part scalp image calculate The diameter of the one of detected part scalp hair shaft to be measured out.In addition, data module can show a dry abnormal ratio, and dry abnormal Ratio is the ratio of the diameter of the hair shaft to be measured and the diameter of the primary hair shaft.Determination module provides one according to dry exceptional value A corresponding dry status analysis.
In above-mentioned scalp detection system, wherein scalp detector is that the rear scalp is shot using powerful mode The image of image and the detected part scalp.
In above-mentioned scalp detection system, wherein detected part scalp is top scalp, the left side scalp, the right side of detected person Side scalp, forehead scalp or other scalp sites.
In above-mentioned scalp detection system, wherein scalp detection program further includes a comparison module, and comparison module includes more The scalp pattern group of a disparity items, each scalp pattern group include the scalp pattern of multiple and different states, and are compared Module can match out recently according to the image of the detected part scalp or the image of rear scalp in each scalp pattern group As scalp pattern.
The present invention provides a kind of scalp detection method, and scalp detection method is applied in a scalp detection system, scalp Detection system includes a scalp detector and a scalp detects program, and it includes a computing module, a data mould that scalp, which detects program, Block and a determination module, scalp detection method include the following steps:
A11: scalp detector shoots the image of the rear scalp of a detected person and the detected part scalp of detected person Image;
A12: computing module calculate the density of a primary normal hair amount of the rear scalp, the density of a primary fine amount and The density of one primary total hair amount;
A14: computing module calculate the density of a normal hair amount to be measured of the detected part scalp, a fine amount to be measured it is close The density of degree and a total hair amount to be measured;
A15: data module shows a primary fine density ratio, a fine density ratio to be measured, a total hair metric density when one Fine density variation value;And
A16: determination module provides a corresponding total hair amount status analysis according to total hair metric density value;Above-mentioned In step, the numerical value of the density of primary total hair amount is the summation of the density of primary normal hair amount and the density of primary fine amount, to The numerical value for surveying the density of total hair amount is the summation of the density of normal hair amount to be measured and the density of fine amount to be measured, and primary fine close The ratio of the density than density and primary total hair amount for primary fine amount is spent, fine density ratio to be measured is the close of fine amount to be measured The ratio of degree and the density of total hair amount to be measured, total metric density of sending out is than the density and the density of primary total hair amount for total hair amount to be measured Ratio, fine density variation value are the numerical value that the fine density ratio to be measured cuts primary fine density ratio.
In above-mentioned scalp detection method, wherein further including the following steps in A16 step:
A17: determination module provides a corresponding fine hair amount status analysis according to the fine density variation value.
The present invention provides a kind of scalp detection method, and scalp detection method is applied in a scalp detection system, scalp Detection system includes a scalp detector and a scalp detects program, and it includes a computing module, a data mould that scalp, which detects program, Block and a determination module, scalp detection method include the following steps:
A21: scalp detector shoots the image of the rear scalp of a detected person and the detected part scalp of detected person Image;
A22: computing module calculates the diameter of a primary hair shaft of rear scalp according to the image of the rear scalp;
A23: computing module according to the image of the detected part scalp calculate detected part scalp it is one to be measured dry Diameter;
A24: data module shows a dry exceptional value;And
A25: determination module provides a corresponding total dry status analysis according to dry exceptional value;
In the A24 the step of, dry exceptional value is the ratio of the diameter of hair shaft to be measured and the diameter of primary hair shaft.
It, hereafter will be appended by embodiment and cooperation for the above objects, features and advantages of the present invention can more be become apparent Schema is described in detail below.It is noted that each component in institute's accompanying drawings is only signal, not according to the reality of each component Border ratio is painted.
Detailed description of the invention
The block diagram of the depicted scalp detection system 10 for first embodiment of Fig. 1.
The schematic diagram of the depicted rear scalp that detected person is detected for scalp detector 11 of Fig. 2.
The depicted schematic diagram that scalp various density in rear are calculated for computing module 121 of Fig. 3.
The depicted schematic diagram that the top various density of scalp are calculated for computing module 121 of Fig. 4.
The depicted schematic diagram for data module 122 of Fig. 5.
The depicted schematic diagram for determination module 123 of Fig. 6.
Fig. 7 be total hair each numberical range of the metric density than 1223 correspondence table D and fine density variation value 1224 it is each The correspondence table F of a numberical range.
The depicted scalp detection system 20 for second embodiment of Fig. 8.
The schematic diagram of the diameter 2211 of the depicted primary hair shaft that rear scalp is calculated for computing module meter 221 of Fig. 9.
The schematic diagram of the diameter 2212 of the depicted hair shaft to be measured that top scalp is calculated for computing module 221 of Figure 10.
The depicted schematic diagram for data module 222 of Figure 11.
The depicted schematic diagram for determination module of Figure 12.
Figure 13 is the correspondence table G of each numberical range of dry exceptional value 2221.
The depicted scalp detection system 30 for 3rd embodiment of Figure 14.
The depicted schematic diagram for comparison module of Figure 15.
The depicted scalp detection method 40 for fourth embodiment of Figure 16.
The depicted scalp detection method 50 for the 5th embodiment of Figure 17.
Specific embodiment
Fig. 1 and Fig. 2, the block diagram of the depicted scalp detection system 10 for first embodiment of Fig. 1 are please referred to, Fig. 2 is drawn It is shown as the schematic diagram that scalp detector 11 detects the rear scalp of detected person.The scalp detection system 10 of first embodiment includes One scalp detector 11 and a scalp detect program 12, and it includes a computing module 121, a data module that scalp, which detects program 12, 122 and a determination module 123.Scalp detector 11 be for shooting the rear scalp of a detected person 8 image (referring again to Fig. 2) and the image of the detected part scalp of the detected person 8, detected part are, for example, the top scalp of the detected person, left side Scalp, right side scalp, forehead scalp or other scalp coverage areas.Wherein, top scalp and forehead scalp are usually to be easiest to Generate the position of hair loss, the bald head in " Mediterranean " that is also just commonly called as and the bald head of " M " font.However, usually rear scalp is most It is not likely to produce the position of hair loss, so the hair of rear scalp is defined as " primary hair " in the present invention.Also, the primary hair Various numerical value be the benchmark for being suitable as other position hairs.In the first embodiment, scalp detector 11 is using low The mode of multiplying power detects rear scalp and detected part scalp, and detected part scalp is with the top of detected person 8 Scalp is as example.
In addition, Fig. 3 and Fig. 4 is please referred to, the depicted signal that scalp various density in rear are calculated for computing module 121 of Fig. 3 Figure, the depicted schematic diagram that the top various density of scalp are calculated for computing module 121 of Fig. 4.Computing module 121 is according to rear scalp Image calculate the density 1212 of the primary fine amount of density 1211, one of a primary normal hair amount of the rear scalp and one former The density 1213 of raw total hair amount, and the numerical value of the density 1213 of primary total hair amount be primary normal hair amount density 1211 with it is primary The summation of the density 1212 of fine amount.Specifically, the primary normal hair of rear scalp is distributed across the position that symbol " N " is indicated It sets, dry diameter is thicker, then the primary fine position for being distributed across symbol " S " and being indicated of square toes skin, dry diameter It is relatively thin, and primary normal hair amount, primary fine amount, the unit with the density of primary total hair amount are as follows: the hair of every square centimeter of calculating Radical amount (radical/cm2).In the example in figure 3, the density 1211 of primary normal hair amount, the density 1212 of primary fine amount and The density 1213 of primary total hair amount is respectively 69.6 radicals/cm2, 8 radicals/cm2And 77.6 radicals/cm2.In addition, computing module Image according to top scalp calculates the density of the fine amount to be measured of density 1214, one of a normal hair amount to be measured of top head skin 1215 and one total hair amount to be measured density 1216, the numerical value of the density 1216 of total hair amount to be measured is the density of normal hair amount to be measured 1214 with the summation of the density 1215 of fine amount to be measured.Specifically, the normal hair to be measured of top scalp is distributed across symbol The position that " N ' " is indicated, dry diameter is thicker, the fine position for being distributed across symbol " S ' " and being indicated to be measured of top scalp It sets, dry diameter is thinner, and normal hair amount to be measured, fine amount to be measured are same as the unit of density of total hair amount to be measured are as follows: often put down Root of hair quantity (the radical/cm that Fang Gongfen is calculated2).It is the density 1214 of normal hair amount to be measured, to be measured fine in the example of Fig. 4 The density 1216 of the density 1215 of amount and total hair amount to be measured is respectively 61.6 radicals/cm2, 10.7, radical/cm2And 72.3 radicals/ cm2
It referring again to Fig. 1 and referring to Fig. 5, is the schematic diagram of data module 122 depicted in Fig. 5.Data module 122 can be shown Show a primary fine fine density ratio 1222, one to be measured of density ratio 1221, one always hair metric density density contrast more fine than 1223 and one Different value 1224.Wherein, primary fine density ratio 1221 is the density 1212 of primary fine amount and the density 1213 of primary total hair amount Ratio;Fine density ratio 1222 to be measured is the ratio of the density 1215 of fine amount to be measured and the density 1216 of total hair amount to be measured; Total hair metric density is the ratio of the density 1216 of total hair amount to be measured and the density 1213 of primary total hair amount than 1223, and fine density Difference value 1224 is the numerical value that fine density ratio 1222 to be measured cuts primary fine density ratio 1221.Specifically, primary fine Density ratio 1221, fine density ratio 1222 to be measured, total hair metric density are than 1223 and fine density variation value 1224 is all according to meter The 121 calculated various data of institute of module are calculated to be derived.It is primary fine density ratio 1221, to be measured fine in the example of Fig. 5 Density ratio 1222, total hair metric density than 1223 and fine density variation value 1224 respectively 10.3%, 14.8%, 93.1%, 4.5%.
Fig. 6 and Fig. 7, the depicted schematic diagram for determination module 123 of Fig. 6 are please referred to, Fig. 7 is total hair metric density than 1223 The correspondence table F of each numberical range of the correspondence table D of each numberical range and fine density variation value 1224.Determination module meeting 123 provide a corresponding total hair amount status analysis 1231, this corresponding total hair amount shape than 1223 according to total hair metric density Condition analysis 1231 can refer to the correspondence table D of Fig. 7.Also, determination module provides a phase according to fine density variation value 1224 Corresponding fine hair amount status analysis 1232, this corresponding fine hair amount status analysis 1232 can refer to the correspondence table F of Fig. 7. Specifically, total hair metric density in the example of Fig. 5 is 93.1% than 1223, it is determined that total hair amount that module 123 provides Status analysis 1231 is " normal ", and fine density variation value is 4.5%, it is determined that the fine hair amount situation point that module provides Analysis 1232 is " normal ".In this way, which falling for the top scalp of detected person 8 just can be had a clear understanding of through scalp detection system 10 Heat condition is to belong to normal state or serious state.
Referring to Fig. 8, the depicted scalp detection system 20 for second embodiment of Fig. 8.Scalp detection system 20 includes one Scalp detector 21 and a scalp detect program 22, scalp detect program 22 include a computing module 221, a data module 222, An and determination module 223.Scalp detector 21 be used for shoot detected person 8 rear scalp image and detected person 8 to The image of position scalp is surveyed, detected part is, for example, top scalp, left side scalp, right side scalp or the preceding forehead of detected person 8 Skin etc..In a second embodiment, scalp detector 21 be using powerful mode to rear scalp and detected part scalp into Row detection, and detected part scalp is using the top scalp of detected person 8 as example.
Please refer to Fig. 9 and Figure 10, the diameter of the depicted primary hair shaft that rear scalp is calculated for computing module meter 221 of Fig. 9 2211 schematic diagram, the schematic diagram of the diameter 2212 of the depicted hair shaft to be measured that top scalp is calculated for computing module 221 of Figure 10. Computing module 221 calculates the diameter 2211 of a primary hair shaft of the rear scalp according to the image of rear scalp.In the model of Fig. 9 In example, computing module 221 can first choose 3 hairs in the image of rear scalp, this 3 hairs respectively symbol " 1 ' ", " 2 ' ", The position that " 3 ' " are indicated.After, calculate symbol " 1 ' ", " 2 ' ", " 3 ' " hair dry diameter be respectively 0.067mm, 0.054mm,0.056mm.After, the diameter 2211 for obtaining primary hair shaft is 0.059mm.In addition, the meeting foundation of computing module 221 should The image of detected part scalp calculates the diameter 2212 of a hair shaft to be measured of detected part scalp.In the example of Figure 10, meter Calculating module 221 equally can first choose 3 hairs in the image of detected part scalp (top scalp), this 3 hairs are according with respectively Number " 1 " ", " 2 " ", " 3 " " position that is indicated.Later, calculate symbol " 1 " ", " 2 " ", " 3 " " the dry diameter of hair is respectively 0.045mm,0.051mm,0.054mm.Later, the diameter 2212 for obtaining hair shaft to be measured is 0.05mm.
Referring again to Fig. 8 and Figure 11 is please referred to, the depicted schematic diagram for data module 222 of Figure 11.222 meeting of data module The dry abnormal ratio 2221 of display one.Wherein, dry exceptional value 2221 be hair shaft to be measured diameter 2212 with it is primary hair shaft it is straight The ratio of diameter 2211.In the example of Fig. 8, dry exception ratio is 84.74%.
Figure 12 and Figure 13, the depicted schematic diagram for determination module of Figure 12 are please referred to, Figure 13 is dry exceptional value 2221 The correspondence table G of each numberical range.Determination module 223 can provide a corresponding total dry shape according to dry exceptional value 2221 Condition analysis 2231, this corresponding total dry status analysis 2231 can refer to the correspondence table G of Figure 13.Specifically, Figure 12's Dry exceptional value in example is 84.74%, it is determined that total dry status analysis 2231 that module 223 provides is " slight ". In this way, which whether the dry situation that just can have a clear understanding of the top scalp of detected person 8 through scalp detection system 20 is strong The state of Kang Shengchang, this is also one of the reference project as situation differentiation of shaving one's head.
Figure 14 and Figure 15 is please referred to, is the scalp detection system 30 of 3rd embodiment depicted in Figure 14, is depicted in Figure 15 The schematic diagram of comparison module.Scalp detection system 30 is extended according to scalp detection system 20, scalp detection system 30 Other than with all technical characteristics of scalp detection system 20, the scalp detection program 32 of scalp detection system 30 further includes One comparison module 324, the scalp pattern group 3240 of the multiple and different projects of comparison module 324, scalp pattern group 3240 is for example For " hair follicle sebum ", " whether there is or not accumulations for hair follicle ", " accumulation of scalp cutin and cleannes ", " seborrheic dermatitis " etc..Each Scalp pattern group 3240 includes the scalp pattern 3241 of multiple and different states.For example, belong to the head of " hair follicle sebum " The type of the scalp pattern 3240 of skin pattern group 3240 for example, " stemness ", " neutrality ", " medium oil " and " oiliness " is (please again Refering to fig. 1 5).Also, comparison module 324 can be according to the image of the detected part scalp or the image of the rear scalp each Closest scalp pattern 3241 is matched out in a scalp pattern group 3240.It for example, is with detected part in Figure 15 The image of scalp (top scalp) is compared.It can be clearly seen in Figure 15, the image of the top scalp sampled and " oil The scalp pattern 3241 of property " type is closest, and (the scalp pattern 3241 of " oiliness " type is the scalp for belonging to hair follicle sebum Pattern group 3240).Therefore, comparison module 324 can select the scalp pattern 3240 of oiliness type to be matched.In this way, Scalp detection system 30 just can learn that the scalp of detected person 8 is to belong to stemness, neutrality, medium oil or oiliness scalp immediately. Similarly, comparison module 324 also can the scalp pattern group 3240 for belonging to " hair follicle whether there is or not accumulation ", " accumulation of scalp cutin with it is clear Closest head is matched out in the scalp pattern group 3240 of cleanliness " and the scalp pattern group 3240 of " seborrheic dermatitis " Skin pattern 324.In this way, just can tentatively judge the situation of scalp problems.
Please refer to Figure 16, the depicted scalp detection method 40 for fourth embodiment of Figure 16.Scalp detection method 40 is to answer Used in above-mentioned scalp detection system 10, scalp detection method 40 includes the following steps: that scalp is examined firstly, please referring to step S41 Survey the image of the image of the rear scalp of the shooting detected person 8 of instrument 11 and the detected part scalp of detected person 8.Later, please join Step S42 is read, computing module 121 calculates the primary fine amount of density 1211, one of a primary normal hair amount of the rear scalp The density 1213 of density 1212 and a primary total hair amount.Later, step S43 is please referred to, computing module 121 calculates the detected part The density 1215 of the fine amount to be measured of density 1214, one of the normal hair amount to be measured of the one of scalp and the density of a total hair amount to be measured 1216.Later, step S44 is please referred to, data module 122 shows a primary fine density ratio 1221, one fine density ratio to be measured 1222, a total hair metric density density variation value 1224 more fine than 1223 and one.Later, step S45, determination module 123 are please referred to A corresponding total hair amount status analysis 1231 is provided than 1223 according to total hair metric density.Later, step S46 is please referred to, Determination module 123 provides a corresponding fine hair amount status analysis 1232 according to fine density variation value 1224.By After step S41~S46, scalp detection system 10 just can learn that the hair loss situation of the detected part scalp of detected person 8 is to belong to Normal state or serious state.
Please refer to Figure 17, the depicted scalp detection method 50 for the 5th embodiment of Figure 17.Scalp detection method 50 is to answer Used in above-mentioned scalp detection system 20, scalp detection method 50 includes the following steps: that scalp is examined firstly, please referring to step S51 Survey the image of the image of the rear scalp of one detected person 8 of shooting of instrument 21 and the detected part scalp of detected person 8.Later, it asks Refering to step S52, computing module 221 calculates the diameter of a primary hair shaft of the rear scalp according to the image of the rear scalp 2211.Later, step S53 is please referred to, computing module calculates the detected part scalp according to the image of the detected part scalp A hair shaft to be measured diameter 2212.Later, step S54, the dry exceptional value 2221 of the display of data module 222 one are please referred to.It Afterwards, step S55 is please referred to, determination module 2231 provides a corresponding total dry situation point according to dry exceptional value 2221 Analysis 2231.After step S51~S55, scalp detection system 20 just can learn the hair shaft of the detected part scalp of detected person 8 Situation whether be healthy growth state, this is also one of the reference project as situation differentiation of shaving one's head.
Above-described embodiment it is merely for convenience explanation and illustrate, though arbitrarily repaired by person of ordinary skill in the field Change, is not departing from such as the range to be protected in claims.

Claims (10)

1. a kind of scalp detection system characterized by comprising
One scalp detector, for shooting the image of the rear scalp of a detected person and the detected part scalp of the detected person Image;
One scalp detects program, comprising:
One computing module, the computing module calculate a primary normal hair amount of the rear scalp according to the image of the rear scalp Density, the density of the density of a primary fine amount and a primary total hair amount, the numerical value of the density of primary total hair amount is primary The summation of the density of the density and primary fine amount of normal hair amount, and eiconometer of the computing module according to the detected part scalp Calculate the close of the density of a normal hair amount to be measured of the detected part scalp, the density of a fine amount to be measured and a total hair amount to be measured Degree, the numerical value of the density of total hair amount to be measured are the summation of the density of normal hair amount to be measured and the density of fine amount to be measured;
One data module, one primary fine density ratio of display, a fine density ratio to be measured and a total hair metric density ratio, and the original Raw fine density ratio is the ratio of the density of the primary fine amount and the density of primary total hair amount, which is The ratio of the density of the density of the fine amount to be measured and total hair amount to be measured, this always sends out metric density than the density for total hair amount to be measured With the ratio of the density of primary total hair amount;And
One determination module, the determination module provide a corresponding total hair amount status analysis according to total hair metric density ratio.
2. such as the scalp detection system of claim 1, which is characterized in that the data module can also show a fine density variation Value, the fine density variation value cut the numerical value of the primary fine density ratio, and the determination module for the fine density ratio to be measured A corresponding fine hair amount status analysis is provided according to the fine density variation value.
3. such as the scalp detection system of claim 1, which is characterized in that the scalp detector is shot using the mode of low range The image of the image of the rear scalp and the detected part scalp.
4. a kind of scalp detection system characterized by comprising
One scalp detector, for shooting the image of the rear scalp of a detected person and the detected part scalp of the detected person Image;
One scalp detects program, comprising:
One computing module, the computing module according to the image of the rear scalp calculate the rear scalp it is one primary dry straight Diameter, and the computing module according to the image of the detected part scalp calculate the detected part scalp it is one to be measured dry straight Diameter;
One data module, the dry abnormal ratio of display one, and the abnormal ratio of the hair shaft are that the diameter of the hair shaft to be measured is primary with this The ratio of dry diameter;And
One determination module, the determination module provide a corresponding dry status analysis according to the hair shaft exceptional value.
5. such as the scalp detection system of claim 4, which is characterized in that the scalp detector is shot using powerful mode The image of the image of the rear scalp and the detected part scalp.
6. such as the scalp detection system of claim 4, which is characterized in that the detected part scalp is the top head of the detected person Skin, left side scalp, right side scalp or forehead scalp.
7. such as the scalp detection system of claim 4, which is characterized in that it further includes a comparison module that the scalp, which detects program, should Comparison module includes the scalp pattern group of multiple and different projects, each scalp pattern group includes the head of multiple and different states Skin pattern, and the comparison module can be according to the image of the detected part scalp or the image of rear scalp in each scalp pattern The closest scalp pattern matches out in group.
8. a kind of scalp detection method, which is characterized in that the scalp detection method is applied in a scalp detection system, the head Skin detection system includes a scalp detector and a scalp detects program, and it includes a computing module, a number which, which detects program, According to module and a determination module, which includes the following steps:
A11: the scalp detector shoots the image of the rear scalp of a detected person and the detected part scalp of the detected person Image;
A12: the computing module calculates the density of a primary normal hair amount of the rear scalp, the density and one of a primary fine amount The density of primary total hair amount;
A14: the computing module calculates the density of a normal hair amount to be measured of the detected part scalp, the density of a fine amount to be measured And one total hair amount to be measured density;
A15: the data module shows that a primary fine density ratio, a fine density ratio to be measured, a total hair metric density are when one thin Send out density variation value;And
A16: the determination module provides a corresponding total hair amount status analysis according to total hair metric density value;
In above-mentioned steps, the numerical value of the density of primary total hair amount is the close of density and the primary fine amount of primary normal hair amount The summation of degree, the numerical value of the density of total hair amount to be measured are the density of the normal hair amount to be measured and the density of the fine amount to be measured Summation, and the primary fine density ratio is the ratio of the density of the primary fine amount and the density of primary total hair amount, this is to be measured Fine density ratio be the fine amount to be measured density and total hair amount to be measured density ratio, this always send out metric density ratio be this to The ratio of the density of total hair amount and the density of primary total hair amount is surveyed, which is that the fine density ratio to be measured subtracts Fall the numerical value of the primary fine density ratio.
9. such as the scalp detection method of claim 8, which is characterized in that in A16 step further include the following steps:
A17: the determination module provides a corresponding fine hair amount status analysis according to the fine density variation value.
10. a kind of scalp detection method, which is characterized in that the scalp detection method is applied in a scalp detection system, should Scalp detection system includes a scalp detector and a scalp detects program, and it includes a computing module, one which, which detects program, Data module and a determination module, the scalp detection method include the following steps:
A21: the scalp detector shoots the image of the rear scalp of a detected person and the detected part scalp of the detected person Image;
A22: the computing module calculates the diameter of a primary hair shaft of the rear scalp according to the image of the rear scalp;
A23: the computing module according to the image of the detected part scalp calculate the detected part scalp it is one to be measured dry Diameter;
A24: the data module shows a dry exceptional value;And
A25: the determination module provides a corresponding total dry status analysis according to the hair shaft exceptional value;
In the A24 the step of, which is the ratio of the diameter of hair shaft to be measured and the diameter of the primary hair shaft.
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