CN106339397A - Method, device and terminal for selecting fruits - Google Patents
Method, device and terminal for selecting fruits Download PDFInfo
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- CN106339397A CN106339397A CN201510406173.8A CN201510406173A CN106339397A CN 106339397 A CN106339397 A CN 106339397A CN 201510406173 A CN201510406173 A CN 201510406173A CN 106339397 A CN106339397 A CN 106339397A
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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Abstract
The invention provides a method, device and terminal for selecting fruits. When users buy fruits in a market, they open a terminal APP used the method; as long as learning the preference of users to fruits when they taste the fruits each time, then photographing every fruit to be selected to obtain corresponding scores; users can infer which fruit is their favorite and which is may not their favored fruit. And to be optimal, the selected fruits after being tasted and scored can be saved as learning samples for accurately guiding subsequent selection of fruits. The invention can facilitate users to select their favored fruits, which is interesting and endows terminals with new purposes.
Description
Technical field
The present invention relates to terminal intelligent applied technical field, more particularly, to a kind of mobile terminal selects the side of fruit
Method, device and terminal.
Background technology
With the popularization of terminal, the intelligentized demand for terminal also rolls up, and some terminals possess chooses
Select the function of fruit, such as: obtain the picture prestoring in fruit picture and data base and contrasted by shooting,
The quality of fruit can be judged for user；Or, for some fruit, can also increase by striking
Strike waters fruit sound, carry out the quality of comprehensive descision fruit with reference to the outward appearance of fruit, for example: by judging
Strike the sound of the Citrullus vulgariss quality to judge Citrullus vulgariss.
The above-mentioned existing scheme selecting fruit, possesses following shortcoming:
1st, accuracy is bad, because there are a lot of errors if only going to judge with picture or sound, such as
The impact such as the dynamics that can be tapped when going to judge by sound is different, external sound disturbs；
2nd, the picture that prestores in data base unalterable it is impossible to from the angle of user, be close to the users constantly
The demand of change.
Content of the invention
The technical problem to be solved in the present invention is to provide a kind of method selecting fruit, device and terminal, from
The angle of user is set out, and provide the user its demand selects fruit prompting.
The technical solution used in the present invention is, the described method selecting fruit, comprising:
Sample set establishment step: fruit is taken pictures and is extracted from fruit photo with the visual signature of fruit,
By the fancy grade corresponding preservation of scoring of the feature of described fruit and user, as one of sample set sample
This；
Select prompting step: taken pictures for fruit to be selected and extract regarding of fruit from fruit photo
Feel feature, mated in sample set based on the feature of fruit to be selected, find and wait to select with described
Fruit the immediate sample of feature, the scoring of the fancy grade of the user in described immediate sample is in
Reveal to come.
Further, methods described, also includes:
Sample set improves step: receive user is directed to the fancy grade scoring of fruit to be selected, and treats described
The visual signature of the fruit selected and the described fancy grade corresponding preservation of scoring receiving, as sample set
One of sample.
Further, described sample set establishment step, also includes:
After extracting the visual signature of fruit, feature based on described fruit to server lookup to fruit-producing area,
State of weather and fruit quality detecting data during fruit culture, together with fancy grade scoring and the institute of user
State the corresponding preservation of feature of fruit, as one of sample set sample；
Described select prompting step, also include:
When finding the immediate sample with the described feature wait the fruit selected, by described immediate sample
The fancy grade scoring of user in this, fruit-producing area, state of weather and fruit quality inspection during fruit culture
Data all presents.
Further, described sample set establishment step and described sample set improve step, all also include:
Originally preserve corresponding fruit photo for various kinds respectively, identical sample only preserves a corresponding fruit
Photo；Described identical sample refers to: the visual signature of the fruit between sample, the fancy grade of user
Scoring these two aspects all same；
The number of times occurring for identical sample is counted, for according to sample occurrence number from high to low
Corresponding for sample fruit photo is presented to user.
Further, described sample set establishment step and described sample set improve step, all also include:
Increase each sample in sample set taps echo parameter as the aural signature of fruit；
Described identical sample refers to: the visual signature of the fruit between sample, aural signature, user
Fancy grade scores this three aspects all same.
Further, the fancy grade scoring of user, comprising: the scoring after user's trial test；
The visual signature of fruit, comprising: the color of fruit, shape, texture and gloss.
The present invention also provides a kind of device selecting fruit, comprising:
Sample set sets up module, for fruit is taken pictures and extract from fruit photo fruit vision special
Levy, by the fancy grade corresponding preservation of scoring of the feature of described fruit and user, as in sample set
Individual sample；
Select reminding module, for being taken pictures for fruit to be selected and extracting fruit from fruit photo
Visual signature, mated in sample set based on the feature of fruit to be selected, find and treat with described
The immediate sample of feature of the fruit selected, the fancy grade of the user in described immediate sample is commented
Divide and present.
Further, described device, also includes:
Sample set improves module, is directed to the fancy grade scoring of fruit to be selected for receive user, by institute
The visual signature stating fruit to be selected and the described fancy grade corresponding preservation of scoring receiving, as sample
One of this collection sample.
Further, described sample set sets up module, is additionally operable to:
After extracting the visual signature of fruit, feature based on described fruit to server lookup to fruit-producing area,
State of weather and fruit quality detecting data during fruit culture, together with fancy grade scoring and the institute of user
State the corresponding preservation of feature of fruit, as one of sample set sample；
Described select reminding module, be additionally operable to:
When finding the immediate sample with the described feature wait the fruit selected, by described immediate sample
The fancy grade scoring of user in this, fruit-producing area, state of weather and fruit quality inspection during fruit culture
Data all presents.
Further, described sample set sets up module and described sample set improves module, is all additionally operable to:
Originally preserve corresponding fruit photo for various kinds respectively, identical sample only preserves a corresponding fruit
Photo；Described identical sample refers to: the visual signature of the fruit between sample, the fancy grade of user
Scoring these two aspects all same；
The number of times occurring for identical sample is counted, for according to sample occurrence number from high to low
Corresponding for sample fruit photo is presented to user.
Further, the fancy grade scoring of user, comprising: the scoring after user's trial test；
The visual signature of fruit, comprising: the color of fruit, shape, texture and gloss.
The present invention also provides a kind of terminal, comprises the above-mentioned device selecting fruit.
Using technique scheme, the present invention at least has the advantage that
The method selecting fruit of the present invention, device and terminal, when user buys fruit in supermarket, open
Apply the app of the method, as long as all being learnt to the hobby of fruit to user when tasting fruit every time,
Fruit so subsequently to be selected to each again is taken pictures it is possible to be obtained corresponding scoring, user is just
Can be inferred which fruit is oneself to like best to eat, which may not be oneself and likes.And preferably
, selected fruit can also store as the sample of study, for more after tasting marking
Follow-up fruit is accurately instructed to select.The present invention can facilitate user to select the fruit meeting oneself taste,
Full of interest, terminal is allowed to have new application.
Brief description
Fig. 1 is the method flow diagram selecting fruit of first embodiment of the invention；
Fig. 2 is the method flow diagram selecting fruit of second embodiment of the invention；
Fig. 3 is the device composition structural representation selecting fruit of fourth embodiment of the invention；
Fig. 4 is the device composition structural representation selecting fruit of fifth embodiment of the invention.
Specific embodiment
For further illustrating that the present invention is to reach technological means and effect that predetermined purpose is taken, below tie
Close accompanying drawing and preferred embodiment, after the present invention is described in detail such as.
First embodiment of the invention, a kind of method selecting fruit, as shown in figure 1, include walking in detail below
Rapid:
Step s101, is taken pictures and is extracted from fruit photo the visual signature of fruit to fruit, will be described
The fancy grade of the feature of fruit and user scores corresponding preservation, as one of sample set sample；
Specifically, the fancy grade scoring of user, comprising: the scoring after user's trial test.The vision of fruit is special
Levy, comprising: the color of fruit, shape, texture and gloss etc..
Step s102, the vision being taken pictures and extracting from fruit photo fruit for fruit to be selected is special
Levy, mated in sample set based on the feature of fruit to be selected, find and described water to be selected
The immediate sample of feature of fruit, the fancy grade scoring of the user in described immediate sample is presented
Come.
Second embodiment of the invention, a kind of method selecting fruit, the present embodiment methods described and the first enforcement
Example is roughly the same, and difference is, as shown in Fig. 2 the methods described of the present embodiment, also includes in detail below
Step:
Step 103, receive user is directed to the fancy grade scoring of fruit to be selected, by described water to be selected
The visual signature of fruit and the described fancy grade corresponding preservation of scoring receiving, as one of sample set
Sample.
Preferably, step 101 and step 103, all also includes:
Originally preserve corresponding fruit photo for various kinds respectively, identical sample only preserves a corresponding fruit
Photo；Described identical sample refers to: the visual signature of the fruit between sample, the fancy grade of user
Scoring these two aspects all same；
The number of times occurring for identical sample is counted, for according to sample occurrence number from high to low
Corresponding for sample fruit photo is presented to user.
Preferably, step 101 and step 103, all also includes:
Increase each sample in sample set taps echo parameter as the aural signature of fruit；
Now, described identical sample refers to: the visual signature of the fruit between sample, the audition of fruit
Feature, the fancy grade of user score this three aspects all same.
Third embodiment of the invention, a kind of method selecting fruit, the present embodiment methods described and the first enforcement
Example is roughly the same, and difference is, the methods described of the present embodiment, extracts the vision of fruit in step s101
After feature, feature based on described fruit to server lookup to fruit-producing area, fruit culture during sky
Gaseity and fruit quality detecting data, the fancy grade scoring together with user is corresponding with the feature of described fruit
Preservation, as one of sample set sample；This server can be high in the clouds big data server, be used for
The data of storage each side magnanimity, is inquired about based on various demands for user.
In step s102, also include:
When finding the immediate sample with the described feature wait the fruit selected, by described immediate sample
The fancy grade scoring of user in this, fruit-producing area, state of weather and fruit quality inspection during fruit culture
Data all presents.
Fourth embodiment of the invention, corresponding with first embodiment, the present embodiment introduces a kind of dress selecting fruit
Put, as shown in figure 3, including consisting of part:
Sample set sets up module 301, for fruit is taken pictures and from fruit photo extract fruit vision
Feature, by the fancy grade corresponding preservation of scoring of the feature of described fruit and user, as in sample set
One sample；
Specifically, the fancy grade scoring of user, comprising: the scoring after user's trial test；The vision of fruit is special
Levy, comprising: the color of fruit, shape, texture and gloss.
Select reminding module 302, for being taken pictures for fruit to be selected and extracting water from fruit photo
The visual signature of fruit, is mated in sample set based on the feature of fruit to be selected, find with described
The immediate sample of feature of fruit to be selected, by the fancy grade of the user in described immediate sample
Scoring presents.
Fifth embodiment of the invention, corresponding with second embodiment introduces a kind of device selecting fruit, this reality
Apply that a described device is roughly the same with 3rd embodiment, difference is, as shown in figure 4, the institute of the present embodiment
State device, also include:
Sample set improves module 303, is directed to the fancy grade scoring of fruit to be selected for receive user, will
The visual signature of described fruit to be selected and the described fancy grade corresponding preservation of scoring receiving, as
One of sample set sample.
Preferably, sample set sets up module 301 and sample set improves module 303, is all additionally operable to:
Originally preserve corresponding fruit photo for various kinds respectively, identical sample only preserves a corresponding fruit
Photo；Described identical sample refers to: the visual signature of the fruit between sample, the fancy grade of user
Scoring these two aspects all same；
The number of times occurring for identical sample is counted, for according to sample occurrence number from high to low
Corresponding for sample fruit photo is presented to user.
Preferably, sample set sets up module 301 and sample set improves module 303, is all additionally operable to:
Increase each sample in sample set taps echo parameter as the aural signature of fruit；
Now, described identical sample refers to: the visual signature of the fruit between sample, aural signature,
The fancy grade of user scores this three aspects all same.
Sixth embodiment of the invention, corresponding with 3rd embodiment introduces a kind of device selecting fruit, this reality
Apply a described device roughly the same with the 5th embodiment, difference is, in the described device of the present embodiment,
Sample set sets up module 301, is additionally operable to:
After extracting the visual signature of fruit, feature based on described fruit to server lookup to fruit-producing area,
State of weather and fruit quality detecting data during fruit culture, together with fancy grade scoring and the institute of user
State the corresponding preservation of feature of fruit, as one of sample set sample；
Select reminding module 302, be additionally operable to:
When finding the immediate sample with the described feature wait the fruit selected, by described immediate sample
The fancy grade scoring of user in this, fruit-producing area, state of weather and fruit quality inspection during fruit culture
Data all presents.
Seventh embodiment of the invention, the present embodiment is on the basis of fourth, fifth, six embodiments, introduces one
Plant terminal, comprise the device selecting fruit in fourth, fifth, six embodiments.The terminal of the present embodiment is permissible
To understand as entity apparatus.
Eighth embodiment of the invention, the present embodiment is on the basis of above-described embodiment, is provided with mobile phone
As a example selecting fruit app, introduce the application example of a present invention.
The process that this application example selects fruit is as follows:
Step 1, image characteristics extraction:
Be first turned on mobile phone selects fruit app, selects fruit to be selected, by photographic head to this kind of water
Fruit is taken pictures, and by image procossing, the features such as color, shape, texture, gloss is extracted, and
Under the file of corresponding fruit, the method for image characteristics extraction has many kinds to record, and existing method is complete
Features above can be extracted；
The marking of step 2, the feature for fruit and user is learnt:
After getting characteristics of image, eigenvalue just records in mobile phone.After user has tasted this fruit, beat
Open app, this fruit given a mark, such as: totally 10 points, 1 point is very difficult to eat, 10 be divided into the niciest；
After having made score, the eigenvalue this time extracting for a certain fruit is just taken as a sample to beat together with user
Score together stores；
User repeats above operation before and after eating fruit each time later, obtains sample set, is learnt by multiple
Grasp the hobby to different fruit for the user.
Step 3, intuitively obtain the prompting itself whether liked for fruit to be selected:
When user when fruit is bought by supermarket it is only necessary to open this app, each fruit to be selected is carried out
Take pictures, from fruit photo, extract fruit character, searched in sample set based on fruit character and just can obtain
Obtain and give a mark accordingly, it is concluded that going out which fruit is oneself to like best to eat, which may not be user
Oneself is liked.
Method, device and the terminal of fruit is selected, when user buys fruit in supermarket described in the embodiment of the present invention
When, open the app applying the method, as long as all entering to the hobby of fruit to user when tasting fruit every time
Go study, then fruit subsequently to be selected to each again is taken pictures and commented accordingly it is possible to obtain
Point, it is concluded that going out which fruit is oneself to like best to eat, which may not be oneself and likes user.
And preferably, selected fruit can also store as the sample of study after giving a mark through trial test,
Fruit for more accurately instructing follow-up is selected.The present invention can facilitate user to select to meet oneself taste
Fruit, full of interest, allow terminal have new application.
By the explanation of specific embodiment it should can be to reach the technology that predetermined purpose is taken to the present invention
Means and effect are able to more deeply and specifically understand, but appended diagram is only to provide reference and explanation
With being not used for the present invention is any limitation as.
Claims (11)
1. a kind of method selecting fruit is it is characterised in that include:
Sample set establishment step: fruit is taken pictures and is extracted from fruit photo with the visual signature of fruit,
By the fancy grade corresponding preservation of scoring of the feature of described fruit and user, as one of sample set sample
This；
Select prompting step: taken pictures for fruit to be selected and extract regarding of fruit from fruit photo
Feel feature, mated in sample set based on the feature of fruit to be selected, find and wait to select with described
Fruit the immediate sample of feature, the scoring of the fancy grade of the user in described immediate sample is in
Reveal to come.
2. the method selecting fruit according to claim 1, it is characterised in that methods described, is also wrapped
Include:
Sample set improves step: receive user is directed to the fancy grade scoring of fruit to be selected, and treats described
The visual signature of the fruit selected and the described fancy grade corresponding preservation of scoring receiving, as sample set
One of sample.
3. the method selecting fruit according to claim 1 is it is characterised in that described sample set is set up
Step, also includes:
After extracting the visual signature of fruit, feature based on described fruit to server lookup to fruit-producing area,
State of weather and fruit quality detecting data during fruit culture, together with fancy grade scoring and the institute of user
State the corresponding preservation of feature of fruit, as one of sample set sample；
Described select prompting step, also include:
When finding the immediate sample with the described feature wait the fruit selected, by described immediate sample
The fancy grade scoring of user in this, fruit-producing area, state of weather and fruit quality inspection during fruit culture
Data all presents.
4. the method selecting fruit according to claim 2 is it is characterised in that described sample set is set up
Step and described sample set improve step, all also include:
Originally preserve corresponding fruit photo for various kinds respectively, identical sample only preserves a corresponding fruit
Photo；Described identical sample refers to: the visual signature of the fruit between sample, the fancy grade of user
Scoring these two aspects all same；
The number of times occurring for identical sample is counted, for according to sample occurrence number from high to low
Corresponding for sample fruit photo is presented to user.
5. the method selecting fruit according to claim 4 is it is characterised in that described sample set is set up
Step and described sample set improve step, all also include:
Increase each sample in sample set taps echo parameter as the aural signature of fruit；
Described identical sample refers to: the visual signature of the fruit between sample, aural signature, user
Fancy grade scores this three aspects all same.
6. the method selecting fruit according to any one of Claims 1 to 5 is it is characterised in that user
Fancy grade scoring, comprising: user taste after scoring；
The visual signature of fruit, comprising: the color of fruit, shape, texture and gloss.
7. a kind of device selecting fruit is it is characterised in that include:
Sample set sets up module, for fruit is taken pictures and extract from fruit photo fruit vision special
Levy, by the fancy grade corresponding preservation of scoring of the feature of described fruit and user, as in sample set
Individual sample；
Select reminding module, for being taken pictures for fruit to be selected and extracting fruit from fruit photo
Visual signature, mated in sample set based on the feature of fruit to be selected, find and treat with described
The immediate sample of feature of the fruit selected, the fancy grade of the user in described immediate sample is commented
Divide and present.
8. the device selecting fruit according to claim 7, it is characterised in that described device, also wraps
Include:
Sample set improves module, is directed to the fancy grade scoring of fruit to be selected for receive user, by institute
The visual signature stating fruit to be selected and the described fancy grade corresponding preservation of scoring receiving, as sample
One of this collection sample.
9. the method selecting fruit according to claim 7 is it is characterised in that described sample set is set up
Module, is additionally operable to:
After extracting the visual signature of fruit, feature based on described fruit to server lookup to fruit-producing area,
State of weather and fruit quality detecting data during fruit culture, together with fancy grade scoring and the institute of user
State the corresponding preservation of feature of fruit, as one of sample set sample；
Described select reminding module, be additionally operable to:
When finding the immediate sample with the described feature wait the fruit selected, by described immediate sample
The fancy grade scoring of user in this, fruit-producing area, state of weather and fruit quality inspection during fruit culture
Data all presents.
10. the device selecting fruit according to claim 8 is it is characterised in that described sample set is built
Formwork erection block and described sample set improve module, are all additionally operable to:
Originally preserve corresponding fruit photo for various kinds respectively, identical sample only preserves a corresponding fruit
Photo；Described identical sample refers to: the visual signature of the fruit between sample, the fancy grade of user
Scoring these two aspects all same；
The number of times occurring for identical sample is counted, for according to sample occurrence number from high to low
Corresponding for sample fruit photo is presented to user.
A kind of 11. terminals are it is characterised in that include selecting water as any one of claim 7～10
The device of fruit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510406173.8A CN106339397A (en) | 2015-07-10 | 2015-07-10 | Method, device and terminal for selecting fruits |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510406173.8A CN106339397A (en) | 2015-07-10 | 2015-07-10 | Method, device and terminal for selecting fruits |
Publications (1)
| Publication Number | Publication Date |
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| CN106339397A true CN106339397A (en) | 2017-01-18 |
Family
ID=57826212
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510406173.8A Pending CN106339397A (en) | 2015-07-10 | 2015-07-10 | Method, device and terminal for selecting fruits |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113496157A (en) * | 2020-03-20 | 2021-10-12 | 庄宿龙 | Type identification system using big data server |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102095797A (en) * | 2010-10-29 | 2011-06-15 | 华南理工大学 | Fruit ripeness ultrasonic non-destructive detection method and system based on comparison method |
| CN103487147A (en) * | 2013-09-06 | 2014-01-01 | 闻泰通讯股份有限公司 | System and method for picking fruits through electronic equipment |
| CN103678323A (en) * | 2012-09-03 | 2014-03-26 | 上海唐里信息技术有限公司 | Friend recommendation method and system in SNS network |
| CN103971249A (en) * | 2014-04-01 | 2014-08-06 | 北京农业信息技术研究中心 | Augmented-reality-based fruit purchasing guide device and device |
| CN106033457A (en) * | 2015-03-18 | 2016-10-19 | 阿里巴巴集团控股有限公司 | Method and device for determining the attribute information of fruit target attributes |
-
2015
- 2015-07-10 CN CN201510406173.8A patent/CN106339397A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102095797A (en) * | 2010-10-29 | 2011-06-15 | 华南理工大学 | Fruit ripeness ultrasonic non-destructive detection method and system based on comparison method |
| CN103678323A (en) * | 2012-09-03 | 2014-03-26 | 上海唐里信息技术有限公司 | Friend recommendation method and system in SNS network |
| CN103487147A (en) * | 2013-09-06 | 2014-01-01 | 闻泰通讯股份有限公司 | System and method for picking fruits through electronic equipment |
| CN103971249A (en) * | 2014-04-01 | 2014-08-06 | 北京农业信息技术研究中心 | Augmented-reality-based fruit purchasing guide device and device |
| CN106033457A (en) * | 2015-03-18 | 2016-10-19 | 阿里巴巴集团控股有限公司 | Method and device for determining the attribute information of fruit target attributes |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113496157A (en) * | 2020-03-20 | 2021-10-12 | 庄宿龙 | Type identification system using big data server |
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Application publication date: 20170118 |