CN104484664A - Human face image processing method and device - Google Patents

Human face image processing method and device Download PDF

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Publication number
CN104484664A
CN104484664A CN201410854184.8A CN201410854184A CN104484664A CN 104484664 A CN104484664 A CN 104484664A CN 201410854184 A CN201410854184 A CN 201410854184A CN 104484664 A CN104484664 A CN 104484664A
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China
Prior art keywords
color
hair
face
face picture
region
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CN201410854184.8A
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CN104484664B (en
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侯文迪
王百超
陈志军
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Beijing Xiaomi Technology Co Ltd
Xiaomi Inc
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Xiaomi Inc
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/162Detection; Localisation; Normalisation using pixel segmentation or colour matching

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

The invention relates to a human face image processing method and device. The method comprises the steps of detecting a hair area in a human face image; obtaining a color replacement instruction for an appointed color; according to the color replacement instruction, the color of the hair area is replaced with the appointed color. According to the technical scheme, a user can customize the color of hair of a figure in the human face image according to favorites of the user, the personalized image processing is achieved, and user experience is improved.

Description

Face picture disposal route and device
Technical field
The disclosure relates to technical field of image processing, particularly relates to a kind of face picture disposal route and device.
Background technology
Along with the development of Internet technology and mobile terminal, increasing user uses mobile terminal to take pictures.At present, part mobile terminal can provide photo disposal function for user, such as: the tone changing the photo of user's shooting, becomes black and white etc. by the photo of colour.But the photo disposal functional limitation provided in correlation technique is comparatively large, personalized photo disposal function can not be provided for user.
Summary of the invention
For overcoming Problems existing in correlation technique, the disclosure provides a kind of face picture disposal route and device.
According to the first aspect of disclosure embodiment, a kind of face picture disposal route is provided, comprises:
Detect the hair zones in face picture;
Obtain the color replacement instruction for designated color;
According to described color replacement instruction, the color of described hair zones is replaced with described designated color.
Optionally, after the color of described hair zones is replaced with described designated color, also comprise:
Preserve described designated color;
Judge whether the selected number of times of described designated color is more than or equal to threshold value;
If the selected number of times of described designated color is more than or equal to threshold value, then, after again detecting the hair zones in face picture, the color of described hair zones is replaced with described designated color.
Optionally, the described color by described hair zones replaces with described designated color, comprising:
Keep the saturation degree of described hair zones and brightness constant, the tone of described hair zones is replaced with the tone of described designated color.
Optionally, after detecting the hair zones in face picture, also comprise:
Described hair zones is marked in described face picture;
Obtain the adjustment result for described hair zones and preserve.
Optionally, the hair zones in described detection face picture, comprising:
Detect the human face region in described face picture;
According to described human face region, generate the prime area of hair;
According to the prime area of described hair, calculate hair color value;
In described prime area, hair zones is determined according to described hair color value.
Optionally, described according to described human face region, generate the prime area of hair, comprising:
Be elliptical center with the central point of described human face region, with the width of the described human face region length that is ellipse short shaft, the length that is transverse with the length of described human face region, described human face region fitted to face elliptic region;
With the first preset multiple of the long axis length of described face elliptic region for rectangular elevation, with the second preset multiple of the minor axis length of described face elliptic region for rectangle width, generate the rectangular area, outer ring comprising described face elliptic region;
Described face elliptic region non-in rectangular area, described outer ring is defined as the prime area of hair.
Optionally, the described prime area according to described hair, calculates hair color value, comprising:
N number of point is chosen in described prime area;
Generate the color histogram of described N number of point;
M color value is chosen according to color-ratio order from high in the end in described color histogram;
Calculate the mean value of a described M color value, using described mean value as hair color value;
Wherein, M and N is the natural number being greater than 1, and M is less than N.
According to the second aspect of disclosure embodiment, a kind of face picture treating apparatus is provided, comprises:
Hair detecting unit, for detecting the hair zones in face picture;
Instruction fetch unit, for obtaining the color replacement instruction for designated color;
First replacement unit, for according to described color replacement instruction, replaces with described designated color by the color of described hair zones.
Optionally, also comprise:
Color storage unit, for after the color of described hair zones is replaced with described designated color, preserves described designated color;
Threshold decision unit, for judging whether the selected number of times of described designated color is more than or equal to threshold value;
Second replacement unit, when being more than or equal to threshold value for the number of times selected at described designated color, after again detecting the hair zones in face picture, replaces with described designated color by the color of described hair zones.
Optionally, described first replacement unit comprises:
Replace subelement, constant for the saturation degree and brightness keeping described hair zones, the tone of described hair zones is replaced with the tone of described designated color.
Optionally, also comprise:
Zone marker unit, for after detecting the hair zones in face picture, marks described hair zones in described face picture;
Result storage unit, preserves for the adjustment result that obtains for described hair zones.
Optionally, described hair detecting unit comprises:
Face datection subelement, for detecting the human face region in described face picture;
Initial generation subelement, for according to described human face region, generates the prime area of hair;
Color computation subunit, for the prime area according to described hair, calculates hair color value;
Region confirms subelement, for determining hair zones according to described hair color value in described prime area.
Optionally, described initial generation subelement comprises:
Ellipse fitting module, for being elliptical center with the central point of described human face region, with the width of the described human face region length that is ellipse short shaft, the length that is transverse with the length of described human face region, described human face region being fitted to face elliptic region;
Rectangle generation module, for with the first preset multiple of the long axis length of described face elliptic region for rectangular elevation, with the second preset multiple of the minor axis length of described face elliptic region for rectangle width, generate the rectangular area, outer ring comprising described face elliptic region;
Initial confirmation module, for being defined as the prime area of hair by described face elliptic region non-in rectangular area, described outer ring.
Optionally, described color computation subunit comprises:
First chooses module, for choosing N number of point in described prime area;
Histogram generation module, for generating the color histogram of described N number of point;
Second chooses module, for choosing M color value according to color-ratio order from high in the end in described color histogram;
Color computing module, for calculating the mean value of a described M color value, using described mean value as hair color value;
Wherein, M and N is the natural number being greater than 1, and M is less than N.
According to the third aspect of disclosure embodiment, a kind of face picture treating apparatus is provided, comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Detect the hair zones in face picture;
Obtain the color replacement instruction for designated color;
According to described color replacement instruction, the color of described hair zones is replaced with described designated color.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
Disclosure terminal can after getting the color replacement instruction for designated color, according to described color replacement instruction, the color of the hair zones in face picture is replaced with described designated color, make user can according to the color of the personage's hair in the self-defined face picture of the hobby of oneself, realize personalized picture processing, promote Consumer's Experience.
Disclosure terminal can generate the prime area of hair according to the human face region detected, and calculate hair color value according to the point of random selecting in described original area, thus the hair zones in described face picture can be determined according to described hair color value, promote the accuracy that hair zones in face picture is detected.
Disclosure terminal after the hair zones in face picture being detected, can mark described hair zones in described face picture, manually adjusts described hair zones for user, and then promotes the accuracy of hair zones.
Disclosure terminal preserves the designated color that user chooses, and when the number of times that described designated color is selected is more than or equal to threshold value, the color of described hair zones can be replaced with described designated color, to avoid user again to select, and then promotes Consumer's Experience.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows and meets embodiment of the present disclosure, and is used from instructions one and explains principle of the present disclosure.
Fig. 1 is the process flow diagram of a kind of face picture disposal route according to an exemplary embodiment.
Fig. 2 is the process flow diagram of the another kind of face picture disposal route according to an exemplary embodiment.
Fig. 3 is the process flow diagram of a kind of hair zones detected in face picture according to an exemplary embodiment.
Fig. 4 is a kind of process flow diagram generating the prime area of hair according to human face region according to an exemplary embodiment.
Fig. 5 is the schematic diagram of a kind of face elliptic region according to an exemplary embodiment and rectangular area, outer ring.
Fig. 6 is a kind of process flow diagram calculating hair color value according to an exemplary embodiment.
Fig. 7 is a kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Fig. 8 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Fig. 9 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Figure 10 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Figure 11 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Figure 12 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Figure 13 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Figure 14 is a kind of structural representation for face picture treating apparatus according to an exemplary embodiment.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the disclosure.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present disclosure are consistent.
Fig. 1 is the process flow diagram of a kind of face picture disposal route according to an exemplary embodiment.
Please refer to Fig. 1, described face picture disposal route may be used for, in terminal, comprising the following steps:
In step S101, detect the hair zones in face picture.
In this step, terminal can detect the human face region in described face picture according to the Face datection algorithm provided in correlation technique, then the prime area of hair is generated according to described human face region, and calculate hair color value according to the prime area of described hair, and then determine the hair zones in described face picture.
In step s 102, the color replacement instruction for designated color is obtained.
In the present embodiment, terminal can provide several color for user, and user can select designated color according to the hobby of oneself and input color replacement instruction.
In step s 103, according to described color replacement instruction, the color of described hair zones is replaced with described designated color.
In the present embodiment, the color replacement instruction that terminal inputs according to user, replaces with the color that user selects by the color of the hair zones in described face picture.
Described as can be seen from above, disclosure terminal can after getting the color replacement instruction for designated color, according to described color replacement instruction, the color of the hair zones in face picture is replaced with described designated color, make user can according to the color of the personage's hair in the self-defined face picture of the hobby of oneself, realize personalized picture processing, promote Consumer's Experience.
Fig. 2 is the process flow diagram of the another kind of face picture disposal route according to an exemplary embodiment.
Please refer to Fig. 2, described face picture disposal route may be used for, in terminal, comprising the following steps:
In step s 201, the hair zones in face picture is detected.
In the present embodiment, described face picture can be the photo that user uses terminal taking, can be also the photo that user chooses in the photograph album of terminal, as long as there is face.
Please refer to Fig. 3, in the present embodiment, the hair zones in described detection face picture, can comprise the following steps:
In step S2011, detect the human face region in described face picture.
In the present embodiment, terminal can adopt the face recognition algorithms provided in correlation technique to detect the human face region in described face picture, such as: SDM (Supervised Descent Method, supervision descending method), AAM (Active Appearance Model, initiatively list item model) algorithm, ASM (Active Shape Model, active shape model) algorithm etc., the disclosure does not make particular restriction to this.After the human face region in described face picture being detected, skin color detection algorithm can also be passed through, carry out supplementing to the human face region of described face picture and detect, to make up the human face region omitted in aforementioned Face datection process, such as: forehead etc., so improve in described face picture human face region detect accuracy.
In step S2012, according to described human face region, generate the prime area of hair.
Based on abovementioned steps S2011, after the human face region in described face picture being detected, face elliptic region and rectangular area, outer ring can be generated respectively according to described human face region, and then generate the prime area of hair.
Please refer to Fig. 4, in the present embodiment, the described prime area generating hair according to human face region, can comprise the following steps:
In step S2012A, be elliptical center with the central point of described human face region, with the width of the described human face region length that is ellipse short shaft, the length that is transverse with the length of described human face region, described human face region fitted to face elliptic region.
Generally, the described human face region detected in abovementioned steps S2011 is an irregular closed figure, in the present embodiment, described human face region is fitted to an oval region, and the region of this ellipse is called face elliptic region.Such as: can with the central point of described human face region for elliptical center, the length being ellipse short shaft with the width of described human face region, the length being transverse with the length of described human face region, and then described human face region can be fitted to face elliptic region.
In step S2012B, with the first preset multiple of the long axis length of described face elliptic region for rectangular elevation, with the second preset multiple of the minor axis length of described face elliptic region for rectangle width, generate the rectangular area, outer ring comprising described face elliptic region.
Based on abovementioned steps S2012A, after described human face region is fitted to face elliptic region, can generate according to described face elliptic region the rectangular area that comprises described face elliptic region, in the present embodiment, this rectangular area is called rectangular area, outer ring.In the present embodiment, can be the height of rectangular area, described outer ring with the first preset multiple of the long axis length of described face elliptic region, take the second preset multiple of the minor axis length of described face elliptic region as the width of rectangular area, described outer ring.Described first preset multiple and described second preset multiple can be arranged by developer, optionally, described first preset multiple can be set to 3, described second preset multiple is set to 2, namely be the height of rectangular area, outer ring with 3 times of the long axis length of described face elliptic region, be the width of rectangular area, outer ring with 2 times of the minor axis length of described face elliptic region, generate the rectangular area, outer ring comprising described face elliptic region.
It should be noted that, generate rectangular area, described outer ring process in, consider the distribution of human face region and hair zones in actual conditions, can with described elliptical center for benchmark generates rectangular area, described outer ring.Such as: described elliptical center is identical to the distance on two long limits of described outer ring rectangle, be the minor axis length of described face elliptic region, described elliptical center is 2:3 to the distance proportion of two minor faces up and down of described outer ring rectangle, namely described elliptical center is 1.2 times of the long axis length of described face elliptic region to the distance of the upper minor face of described outer ring rectangle, and described elliptical center is 1.8 times of the long axis length of described face elliptic region to the distance of the lower minor face of described outer ring rectangle.
Please refer to Fig. 5, the schematic diagram of a kind of face elliptic region shown in the disclosure one exemplary embodiment and rectangular area, outer ring.In Figure 5, rectangle ABCD is rectangular area, described outer ring, and oval EFGH is described face elliptic region, and some O is the center of described face elliptic region.Wherein, the height A B of described outer ring rectangular area ABCD is 3 times of the length of the major axis HF of described face elliptic region, the distance of the upper minor face AD of the central point O to described outer ring rectangular area ABCD of described face elliptic region is 1.2 times of the length of described major axis HF, and the distance of the lower minor face BC of the central point O to described outer ring rectangular area ABCD of described face elliptic region is 1.8 times of the length of described major axis HF.The width AD of described outer ring rectangular area ABCD is 2 times of the length of the minor axis EG of described face elliptic region, the distance of two long limit AB with CD of the central point O to described outer ring rectangular area ABCD of described face elliptic region is identical, is the length of described minor axis EG.
Certainly, two minor faces up and down of described outer ring rectangle also can be set to other numerical value to the distance proportion etc. of described elliptical center by those skilled in the art, and the disclosure does not make particular restriction to this.
In step S2012C, described face elliptic region non-in rectangular area, described outer ring is defined as the prime area of hair.
Please further refer to Fig. 5, in Figure 5, be the prime area of hair by the part that oblique line marks in the rectangular area ABCD of described outer ring.
In step S2013, according to the prime area of described hair, calculate hair color value.
Please refer to Fig. 6, described calculating hair color value, can comprise the following steps:
In step S2013A, in described prime area, choose N number of point.
In the present embodiment, the N number of point of random selecting in the prime area of hair, wherein, N be greater than 0 natural number, the value of N can be arranged by developer, such as: the value of N can be set to 150.
In step S2013B, generate the color histogram of described N number of point.
Based on abovementioned steps S2013A, after choosing described N number of point, in this step, the color histogram of described N number of point is generated.Described color histogram is for describing the ratio that in described N number of point of choosing, different colours is shared in described N number of point.Such as: in described N number of point, the ratio shared by color C1 is 30%, the ratio shared by color C2 is 20% etc.
In step S2013C, in described color histogram, choose M color value according to color-ratio order from high in the end.
Based on abovementioned steps S2013B, after the described color histogram of generation, in this step, color in described color histogram can be sorted, such as: by the color in described color histogram proportionally order from high in the end sort, then a front M color is chosen, to obtain the color value of described front M color.Wherein, M be greater than 1 natural number, and M is less than N, and the value of M can be arranged by developer, such as: the value of N can be set to 5, the disclosure does not make particular restriction to this.
In step S2013D, calculate the mean value of a described M color value, using described mean value as hair color value.
In step S2014, in described prime area, determine hair zones according to described hair color value.
Based on abovementioned steps S2013, after calculating hair color value, color segmentation method or se ed filling algorithm can be adopted, the set of the point of difference in preset range of the value that gets colors in the prime area of described hair and described hair color value.For example, suppose that the hair color value calculated in step S2013 is C1, described preset range is set to C2 by developer, then in this step, the absolute value of the difference of color value Cx and the C1 of the some x chosen is less than or equal to C2, namely | and Cx-C1|≤C2.
After the set of the point of difference in preset range obtaining color value and described hair color value, can adopt based on LBP (Local Binary Patterns, local binary patterns) texture segmentation algorithm and Morphology Algorithm, filter the region in picture background point and hair cavity, to determine hair zones.Those skilled in the art can with reference to the texture segmentation algorithm provided in correlation technique and Morphology Algorithm to realize said process, and this is no longer going to repeat them.
In the present embodiment, terminal can generate the prime area of hair according to the human face region detected, and calculate hair color value according to the point of random selecting in described original area, thus the hair zones in described face picture can be determined according to described hair color value, promote the accuracy that hair zones in face picture is detected.
In step S202, in described face picture, mark described hair zones.
Based on abovementioned steps S201, after detecting the hair zones in face picture, in this step, in described face picture, mark described hair zones, according to actual conditions, described hair zones is manually adjusted for user.
In step S203, obtain the adjustment result for described hair zones and preserve.
In this step, terminal obtains user for the adjustment result of described hair zones, and described adjustment result is carried out preserving using as final hair zones.
In the present embodiment, terminal after the hair zones in face picture being detected, can mark described hair zones in described face picture, manually adjusts described hair zones for user, and then promotes the accuracy of hair zones.
In step S204, obtain the color replacement instruction for designated color.
Based on abovementioned steps S203, after obtaining the hair zones in described face picture, several color can be provided as alternative replacement color for user, input color replacement instruction to realize the replacement of hair color for user.Such as: developer can select some comparatively common hair colors using as described alternative replacement color, such as: claret, brown, yellow etc.Optionally, terminal can generate the preview picture color of described hair zones being replaced with described alternative replacement color, so as user can recognize intuitively color replace after effect.
In step S205, according to described color replacement instruction, the color of described hair zones is replaced with described designated color.
In this step, the color of described hair zones, after getting described color replacement instruction, is replaced with the color specified by described color replacement instruction by terminal.
Optionally, in another embodiment, consider the impact of light, in this step, terminal can keep the saturation degree of described hair zones and brightness constant, only the tone of described hair zones is replaced with the tone of described designated color.In practical implementations, the color of described hair zones can be converted to HSV (Hue, Saturation, Value) color model by RGB (Red, Green, Blue) color model by terminal.In HSV model, H represents tone, and S represents saturation degree, and V represents brightness, then in this step, terminal can according to the hue adjustment of described designated color the H value of hair zones.
In step S206, preserve described designated color.
In step S207, judge whether the selected number of times of described designated color is more than or equal to threshold value, if the selected number of times of described designated color is more than or equal to threshold value, then perform step S208.
In the present embodiment, terminal is preserved the designated color in described color replacement instruction, add up the number of times that each color is chosen by user, and judge the threshold value whether selected number of times of each color is more than or equal to developer and presets, such as: terminal can judge according to the time cycle of presetting whether the selected number of times of each color is more than or equal to described threshold value, terminal also can after the described designated color of preservation, judge whether the selected number of times of described designated color is more than or equal to described threshold value, and the disclosure does not make particular restriction to this.If the selected number of times of described designated color is more than or equal to threshold value, then perform step S208, if the selected number of times of described designated color is less than described threshold value, then continue to perform this step.
In step S208, after again detecting the hair zones in face picture, the color of described hair zones is replaced with described designated color.
Based on the judged result of abovementioned steps S207, if the selected number of times of described designated color is more than or equal to threshold value, can illustrate that user comparatively likes described designated color, then when terminal again detect hair zones in face picture or terminal preserve user to the adjustment result of hair zones after, the color of described hair zones can be replaced with described designated color.
In the present embodiment, terminal preserves the designated color that user chooses, and when the number of times that described designated color is selected is more than or equal to threshold value, the color of described hair zones is replaced with described designated color, to avoid user again to select, and then promotes Consumer's Experience.
Described as can be seen from above, disclosure terminal can after getting the color replacement instruction for designated color, according to described color replacement instruction, the color of the hair zones in face picture is replaced with described designated color, make user can according to the color of the personage's hair in the self-defined face picture of the hobby of oneself, realize personalized picture processing, promote Consumer's Experience.
Corresponding with aforementioned face picture disposal route embodiment, the disclosure additionally provides the embodiment of face picture treating apparatus.
Fig. 7 is a kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Please refer to Fig. 7, described face picture treating apparatus 700 may be used for, in terminal, including: hair detecting unit 701, instruction fetch unit 702 and the first replacement unit 703.
Wherein, described hair detecting unit 701 is configured to: detect the hair zones in face picture.
Described instruction fetch unit 702 is configured to: obtain the color replacement instruction for designated color.
Described first replacement unit 703 is configured to: according to described color replacement instruction, the color of described hair zones is replaced with described designated color.
In above-described embodiment, terminal can after getting the color replacement instruction for designated color, according to described color replacement instruction, the color of the hair zones in face picture is replaced with described designated color, make user can according to the color of the personage's hair in the self-defined face picture of the hobby of oneself, realize personalized picture processing, promote Consumer's Experience.
Fig. 8 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Please refer to Fig. 8, this embodiment is on the basis of the embodiment shown in earlier figures 7, and described face picture treating apparatus 700 can also comprise: color storage unit 704, threshold decision unit 705 and the second replacement unit 706.
Wherein, described color storage unit 704 is configured to: after the color of described hair zones is replaced with described designated color, preserves described designated color.
Described threshold decision unit 705 is configured to: judge whether the selected number of times of described designated color is more than or equal to threshold value.
Described second replacement unit 706 is configured to: when the number of times that described designated color is selected is more than or equal to threshold value, after again detecting the hair zones in face picture, the color of described hair zones is replaced with described designated color.
In above-described embodiment, terminal preserves the designated color that user chooses, and when the number of times that described designated color is selected is more than or equal to threshold value, the color of described hair zones can be replaced with described designated color, to avoid user again to select, and then promote Consumer's Experience.
Fig. 9 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Please refer to Fig. 9, this embodiment is on the basis of the embodiment shown in earlier figures 7, and described first replacement unit 703 can comprise: replace subelement 7031.
Described replacement subelement 7031 is configured to: keep the saturation degree of described hair zones and brightness constant, the tone of described hair zones is replaced with the tone of described designated color.
It should be noted that, the replacement subelement 7031 shown in the embodiment shown in above-mentioned Fig. 9, also can be included in the device embodiment shown in earlier figures 8, the disclosure does not make particular restriction to this.
Figure 10 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Please refer to Figure 10, this embodiment is on the basis of the embodiment shown in earlier figures 7, and described face picture treating apparatus 700 can also comprise: zone marker unit 707 and result storage unit 708.
Wherein, described zone marker unit 707 is configured to: after detecting the hair zones in face picture, mark described hair zones in described face picture.
Described result storage unit 708 is configured to: obtain the adjustment result for described hair zones and preserve.
In above-described embodiment, terminal after the hair zones in face picture being detected, can mark described hair zones in described face picture, manually adjusts described hair zones for user, and then promotes the accuracy of hair zones.
It should be noted that, the zone marker unit 707 shown in the embodiment shown in above-mentioned Figure 10 and result storage unit 708, also can be included in the device embodiment shown in earlier figures 8 to Fig. 9, the disclosure does not make particular restriction to this.
Figure 11 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Please refer to Figure 11, this embodiment is on the basis of the embodiment shown in earlier figures 7, and described hair detecting unit 701 can also comprise: Face datection subelement 7011, initial subelement 7012, color computation subunit 7013 and the region of generating confirm subelement 7014.
Wherein, described Face datection subelement 7011 is configured to: detect the human face region in described face picture.
Described initial generation subelement 7012 is configured to: according to described human face region, generates the prime area of hair.
Described color computation subunit 7013 is configured to: according to the prime area of described hair, calculates hair color value.
Described region confirms that subelement 7014 is configured to: in described prime area, determine hair zones according to described hair color value.
In above-described embodiment, terminal can generate the prime area of hair according to the human face region detected, and calculate hair color value according to the point of random selecting in described original area, thus the hair zones in described face picture can be determined according to described hair color value, promote the accuracy that hair zones in face picture is detected.
It should be noted that, Face datection subelement 7011 shown in embodiment shown in above-mentioned Figure 11, initial subelement 7012, color computation subunit 7013 and the region of generating confirm subelement 7014, also can be included in the device embodiment shown in earlier figures 8 to Figure 10, the disclosure does not make particular restriction to this.
Figure 12 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Please refer to Figure 12, this embodiment is on the basis of the embodiment shown in aforementioned Figure 11, and described initial generation subelement 7012 can comprise: ellipse fitting module 7012A, rectangle generation module 7012B and initial confirmation module 7012C.
Wherein, described ellipse fitting module 7012A is configured to: be elliptical center with the central point of described human face region, with the width of the described human face region length that is ellipse short shaft, the length that is transverse with the length of described human face region, described human face region fitted to face elliptic region.
Described rectangle generation module 7012B is configured to: with the first preset multiple of the long axis length of described face elliptic region for rectangular elevation, with the second preset multiple of the minor axis length of described face elliptic region for rectangle width, generate the rectangular area, outer ring comprising described face elliptic region.
Described initial confirmation module 7012C is configured to: the prime area described face elliptic region non-in rectangular area, described outer ring being defined as hair.
Figure 13 is the another kind of face picture treating apparatus block diagram according to an exemplary embodiment.
Please refer to Figure 13, this embodiment is on the basis of the embodiment shown in aforementioned Figure 11, and described color computation subunit 7013 can comprise: first chooses module 7013A, histogram generation module 7013B, second chooses module 7013C and color computing module 7013D.
Wherein, described first choose module 7013A and be configured to: in described prime area, choose N number of point.
Described histogram generation module 7013B is configured to: the color histogram generating described N number of point.
Described second chooses module 7013C is configured to: in described color histogram, choose M color value according to color-ratio order from high in the end.
Described color computing module 7013D is configured to: the mean value calculating a described M color value, using described mean value as hair color value;
Wherein, M and N is the natural number being greater than 1, and M is less than N.
It should be noted that, shown in embodiment shown in above-mentioned Figure 13 first chooses module 7013A, histogram generation module 7013B, second chooses module 7013C and color computing module 7013D, also can be included in the device embodiment shown in aforementioned Figure 12, the disclosure does not make particular restriction to this.
About the device in above-described embodiment, wherein the concrete mode of modules executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.
For device embodiment, because it corresponds essentially to embodiment of the method, so relevant part illustrates see the part of embodiment of the method.Device embodiment described above is only schematic, the wherein said unit illustrated as separating component or can may not be and physically separates, parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of module wherein can be selected according to the actual needs to realize the object of disclosure scheme.Those of ordinary skill in the art, when not paying creative work, are namely appreciated that and implement.
Accordingly, the disclosure also provides a kind of face picture treating apparatus, and described device comprises: processor; For the storer of storage of processor executable instruction; Wherein, described processor is configured to: detect the hair zones in face picture; Obtain the color replacement instruction for designated color; According to described color replacement instruction, the color of described hair zones is replaced with described designated color.
Accordingly, the disclosure also provides a kind of non-transitory computer-readable recording medium, when the processor of the instruction in described storage medium by terminal performs, make terminal can perform a kind of face picture disposal route, described method comprises: detect the hair zones in face picture; Obtain the color replacement instruction for designated color; According to described color replacement instruction, the color of described hair zones is replaced with described designated color.
Figure 14 is the block diagram of a kind of device 1400 for face picture process according to an exemplary embodiment.Such as, device 1400 can be mobile phone, computing machine, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc.
With reference to Figure 14, device 1400 can comprise following one or more assembly: processing components 1402, storer 1404, power supply module 1406, multimedia groupware 1408, audio-frequency assembly 1410, the interface 1412 of I/O (I/O), sensor module 1414, and communications component 1416.
The integrated operation of the usual control device 1400 of processing components 1402, such as with display, call, data communication, camera operation and record operate the operation be associated.Treatment element 1402 can comprise one or more processor 1420 to perform instruction, to complete all or part of step of above-mentioned method.In addition, processing components 1402 can comprise one or more module, and what be convenient between processing components 1402 and other assemblies is mutual.Such as, processing element 1402 can comprise multi-media module, mutual with what facilitate between multimedia groupware 1408 and processing components 1402.
Storer 1404 is configured to store various types of data to be supported in the operation of equipment 1400.The example of these data comprises for any application program of operation on device 1400 or the instruction of method, contact data, telephone book data, message, picture, video etc.Storer 1404 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), ROM (read-only memory) (ROM), magnetic store, flash memory, disk or CD.
The various assemblies that electric power assembly 1406 is device 1400 provide electric power.Electric power assembly 1406 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 1400 and be associated.
Multimedia groupware 1408 is included in the screen providing an output interface between described device 1400 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 1408 comprises a front-facing camera and/or post-positioned pick-up head.When equipment 1400 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 1410 is configured to export and/or input audio signal.Such as, audio-frequency assembly 1410 comprises a microphone (MIC), and when device 1400 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The sound signal received can be stored in storer 1404 further or be sent via communications component 1416.In certain embodiments, audio-frequency assembly 1410 also comprises a loudspeaker, for output audio signal.
I/O interface 1412 is for providing interface between processing components 1402 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor module 1414 comprises one or more sensor, for providing the state estimation of various aspects for device 1400.Such as, sensor module 1414 can detect the opening/closing state of equipment 1400, the relative positioning of assembly, such as described assembly is display and the keypad of device 1400, the position of all right pick-up unit 1400 of sensor module 1414 or device 1400 assemblies changes, the presence or absence that user contacts with device 1400, the temperature variation of device 1400 orientation or acceleration/deceleration and device 1400.Sensor module 1414 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 1414 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 1414 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 1416 is configured to the communication being convenient to wired or wireless mode between device 1400 and other equipment.Device 1400 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communication component 1416 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communication component 1416 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 1400 can be realized, for performing said method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD) (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer 1404 of instruction, above-mentioned instruction can perform said method by the processor 1420 of device 1400.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
Those skilled in the art, at consideration instructions and after putting into practice disclosed herein disclosing, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Instructions and embodiment are only regarded as exemplary, and true scope of the present disclosure and spirit are pointed out by claim below.
Should be understood that, the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.

Claims (15)

1. a face picture disposal route, is characterized in that, comprising:
Detect the hair zones in face picture;
Obtain the color replacement instruction for designated color;
According to described color replacement instruction, the color of described hair zones is replaced with described designated color.
2. face picture disposal route according to claim 1, is characterized in that, after the color of described hair zones is replaced with described designated color, also comprises:
Preserve described designated color;
Judge whether the selected number of times of described designated color is more than or equal to threshold value;
If the selected number of times of described designated color is more than or equal to threshold value, then, after again detecting the hair zones in face picture, the color of described hair zones is replaced with described designated color.
3. face picture disposal route according to claim 1, is characterized in that, the described color by described hair zones replaces with described designated color, comprising:
Keep the saturation degree of described hair zones and brightness constant, the tone of described hair zones is replaced with the tone of described designated color.
4. face picture disposal route according to claim 1, is characterized in that, after detecting the hair zones in face picture, also comprises:
Described hair zones is marked in described face picture;
Obtain the adjustment result for described hair zones and preserve.
5. face picture disposal route according to claim 1, is characterized in that, the hair zones in described detection face picture, comprising:
Detect the human face region in described face picture;
According to described human face region, generate the prime area of hair;
According to the prime area of described hair, calculate hair color value;
In described prime area, hair zones is determined according to described hair color value.
6. face picture disposal route according to claim 5, is characterized in that, described according to described human face region, generates the prime area of hair, comprising:
Be elliptical center with the central point of described human face region, with the width of the described human face region length that is ellipse short shaft, the length that is transverse with the length of described human face region, described human face region fitted to face elliptic region;
With the first preset multiple of the long axis length of described face elliptic region for rectangular elevation, with the second preset multiple of the minor axis length of described face elliptic region for rectangle width, generate the rectangular area, outer ring comprising described face elliptic region;
Described face elliptic region non-in rectangular area, described outer ring is defined as the prime area of hair.
7. face picture disposal route according to claim 5, is characterized in that, the described prime area according to described hair, calculates hair color value, comprising:
N number of point is chosen in described prime area;
Generate the color histogram of described N number of point;
M color value is chosen according to color-ratio order from high in the end in described color histogram;
Calculate the mean value of a described M color value, using described mean value as hair color value;
Wherein, M and N is the natural number being greater than 1, and M is less than N.
8. a face picture treating apparatus, is characterized in that, comprising:
Hair detecting unit, for detecting the hair zones in face picture;
Instruction fetch unit, for obtaining the color replacement instruction for designated color;
First replacement unit, for according to described color replacement instruction, replaces with described designated color by the color of described hair zones.
9. face picture treating apparatus according to claim 8, is characterized in that, also comprise:
Color storage unit, for after the color of described hair zones is replaced with described designated color, preserves described designated color;
Threshold decision unit, for judging whether the selected number of times of described designated color is more than or equal to threshold value;
Second replacement unit, when being more than or equal to threshold value for the number of times selected at described designated color, after again detecting the hair zones in face picture, replaces with described designated color by the color of described hair zones.
10. face picture treating apparatus according to claim 8, is characterized in that, described first replacement unit comprises:
Replace subelement, constant for the saturation degree and brightness keeping described hair zones, the tone of described hair zones is replaced with the tone of described designated color.
11. face picture treating apparatus according to claim 8, is characterized in that, also comprise:
Zone marker unit, for after detecting the hair zones in face picture, marks described hair zones in described face picture;
Result storage unit, preserves for the adjustment result that obtains for described hair zones.
12. face picture treating apparatus according to claim 8, is characterized in that, described hair detecting unit comprises:
Face datection subelement, for detecting the human face region in described face picture;
Initial generation subelement, for according to described human face region, generates the prime area of hair;
Color computation subunit, for the prime area according to described hair, calculates hair color value;
Region confirms subelement, for determining hair zones according to described hair color value in described prime area.
13. face picture treating apparatus according to claim 12, is characterized in that, described initial generation subelement comprises:
Ellipse fitting module, for being elliptical center with the central point of described human face region, with the width of the described human face region length that is ellipse short shaft, the length that is transverse with the length of described human face region, described human face region being fitted to face elliptic region;
Rectangle generation module, for with the first preset multiple of the long axis length of described face elliptic region for rectangular elevation, with the second preset multiple of the minor axis length of described face elliptic region for rectangle width, generate the rectangular area, outer ring comprising described face elliptic region;
Initial confirmation module, for being defined as the prime area of hair by described face elliptic region non-in rectangular area, described outer ring.
14. face picture treating apparatus according to claim 12, is characterized in that, described color computation subunit comprises:
First chooses module, for choosing N number of point in described prime area;
Histogram generation module, for generating the color histogram of described N number of point;
Second chooses module, for choosing M color value according to color-ratio order from high in the end in described color histogram;
Color computing module, for calculating the mean value of a described M color value, using described mean value as hair color value;
Wherein, M and N is the natural number being greater than 1, and M is less than N.
15. 1 kinds of face picture treating apparatus, is characterized in that, comprising:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Detect the hair zones in face picture;
Obtain the color replacement instruction for designated color;
According to described color replacement instruction, the color of described hair zones is replaced with described designated color.
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