CN104299226A - Round container contour similarity retrieving method - Google Patents
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- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
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Abstract
The invention discloses a round container contour similarity retrieving method which includes the steps that contour data of a sample container are extracted; contour data of a container to be retrieved are extracted; a preset tolerance range is extracted; the contour data of the sample container and the contour data of the container to be retrieved are compared, and the container to be retrieved in the tolerance range is extracted; the deviation parameter between the sample container and the container to be retrieved in the tolerance range is calculated; the contour of the container to be retrieved with the maximum difference parameter is defined as the target contour which is most similar to the sample container. By means of the round container contour similarity retrieving method, the contour data are automatically extracted, a container contour database with complete data is set up, and the method is more convenient and more accurate; meanwhile, the contour of the container to be retrieved with the minimum difference is defined as the target contour most similar to the sample container by analyzing the height tolerance, the neck diameter tolerance, the arithmetic mean deviation and the mean variance, and convenient and accurate searching of the round container with the similar contour is achieved.
Description
Technical field
The present invention relates to a kind of Similar Shape Retrieval, particularly relate to a kind of method of circular Bottle & Can profile similarity retrieval.
Background technology
The cross section of glass bottle and jar product is generally based on circular, square, flat etc., wherein in the majority with circle again, but the change of its axial profile is very many and complicated, specifically as shown in Figures 1 and 2.
At present, in domestic glass industry, owing to needing the information such as production technology with reference to like product, thus need to find profile close to or similar product.
The method of general employing is, gathers Bottle & Can essential information (e.g., height overall, maximum gauge, capacity, weight etc.), finds the product that essential information is close, then thumbs one by one by hand.Correspondingly, after surveying and mapping tool can be utilized to survey and draw out by certain bottle surface profile, form a CAD electronic drawings and archives, thus realize the collection of Bottle & Can essential information.
But, adopt above method that the collection of Bottle & Can shape data can be made not comprehensive, cannot accurately locate; Meanwhile, data examination can only rely on manual operations, sees figure comparison one by one, and accuracy is low and need to spend a large amount of manpower, time.
Summary of the invention
Technical matters to be solved by this invention is, a kind of method of circular Bottle & Can profile similarity retrieval is provided, automatically the Bottle & Can outline data storehouse that data are complete can be set up, and by analyzing height tolerances, neck footpath tolerance, arithmetic mean difference and average variance, accurately search has the circular Bottle & Can of profile similar.
In order to solve the problems of the technologies described above, the invention provides a kind of method of circular Bottle & Can profile similarity retrieval, comprise: the outline data extracting sample Bottle & Can, described outline data comprises altitude information, diameter data, and described diameter data comprises neck footpath data, bottle diameter data; Extract the outline data of Bottle & Can to be retrieved; Extract the range of tolerable variance preset, described range of tolerable variance comprises height tolerances and neck footpath tolerance; The outline data of described sample Bottle & Can and the outline data of Bottle & Can to be retrieved are compared, extracts the Bottle & Can to be retrieved be in described range of tolerable variance; Calculate described sample Bottle & Can and be in the straggling parameter between the Bottle & Can to be retrieved in described range of tolerable variance, described straggling parameter comprises arithmetic mean difference, average variance; By the outline definition of Bottle & Can to be retrieved minimum for described difference parameter be and the immediate objective contour of described sample Bottle & Can.
As the improvement of such scheme, described calculating sample Bottle & Can comprises with the method for the arithmetic mean difference being in the Bottle & Can to be retrieved in range of tolerable variance: according to formula a=|b1/n1-b2/n2|, calculates described sample Bottle & Can and the arithmetic mean difference a being in the Bottle & Can to be retrieved in described range of tolerable variance respectively; B1 is sample Bottle & Can profile all bottle diameter data sums, and n1 is the number of all bottle diameter data of sample Bottle & Can profile, and b1/n1 is the arithmetic mean of sample Bottle & Can profile; B2 is Bottle & Can profile to be retrieved all bottle diameter data sums, and n2 is the number of all bottle diameter data of Bottle & Can profile to be retrieved, and b2/n2 is the arithmetic mean of Bottle & Can profile to be retrieved.
As the improvement of such scheme, described calculating sample Bottle & Can comprises with the method for the average variance being in the Bottle & Can to be retrieved in range of tolerable variance: according to formula
Calculate described sample Bottle & Can and the average variance z being in the Bottle & Can described to be retrieved in range of tolerable variance respectively; x
1, x
2, x
3, x
nfor the bottle diameter data of Bottle & Can profile to be retrieved, y
1, y
2, y
3, y
nfor the bottle diameter data of sample Bottle & Can profile, n is the smaller value in the number of Bottle & Can profile to be retrieved all bottle diameters data and the number of all bottle diameter data of sample Bottle & Can profile.
As the improvement of such scheme, the outline data of described sample Bottle & Can and Bottle & Can to be retrieved is stored in Bottle & Can outline data table.
As the improvement of such scheme, the storage means of described outline data comprises: the Bottle & Can profile of mapping Bottle & Can; According to described Bottle & Can contours extract outline data; By described outline data stored in Bottle & Can outline data table.
As the improvement of such scheme, the described method according to Bottle & Can contours extract outline data comprises: the one-sided contour linkage below bottleneck is become a multi-section-line, described multi-section-line has two end points, high point is bottleneck position, low spot is position at the bottom of bottle, and the vertical range between low and high is altitude information; With described height point for starting point, unique point is set on described multi-section-line every predeterminable range; Extract the distance of described unique point and center line successively, the distance of described unique point and center line is Bottle & Can radius; According to described radius calculation diameter data, the change of described diameter data represents the change of Bottle & Can profile.
As the improvement of such scheme, surveyed and drawn the Bottle & Can profile of Bottle & Can by 2D projector or vernier caliper.
Implement the present invention, there is following beneficial effect:
The present invention, by automatically extracting outline data, sets up the Bottle & Can outline data storehouse that data are complete, does not need the profile attributes of manual typing Bottle & Can, more convenient, accurate.
By analyzing height tolerances and neck footpath tolerance, range of tolerable variance being set, preliminary screening is carried out to Bottle & Can to be retrieved.
By analyzing arithmetic mean difference and the average variance of bottle diameter data, calculate the difference parameter of sample Bottle & Can and Bottle & Can to be retrieved, Bottle & Can to be retrieved is accurately screened, be and the immediate objective contour of described sample Bottle & Can that convenient accurately search has the circular Bottle & Can of profile similar or other have the part of similar demand by the outline definition of Bottle & Can to be retrieved minimum for difference parameter.
Accompanying drawing explanation
Fig. 1 is the structural representation of existing glass bottle and jar;
Fig. 2 is another structural representation of existing glass bottle and jar;
Fig. 3 is the process flow diagram of the method for a kind of circular Bottle & Can profile similarity retrieval of the present invention;
Fig. 4 is the storage means process flow diagram of outline data in the method for a kind of circular Bottle & Can profile similarity retrieval of the present invention;
Fig. 5 is the schematic diagram of multi-section-line in the method for a kind of circular Bottle & Can profile similarity retrieval of the present invention;
Fig. 6 is the schematic diagram of unique point in the method for a kind of circular Bottle & Can profile similarity retrieval of the present invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail.
Fig. 3 is the process flow diagram of the method for a kind of circular Bottle & Can profile similarity retrieval of the present invention, comprising:
S101, extracts the outline data of sample Bottle & Can.
Described outline data comprises altitude information, diameter data.
Described diameter data comprises neck footpath data, bottle diameter data.Wherein, described neck footpath data are bottleneck diameter value, and described bottle diameter data are body diameter value.
It should be noted that, Bottle & Can corresponding altitude information, neck footpath data and multiple bottle diameter data.
S102, extracts the outline data of Bottle & Can to be retrieved.
It should be noted that, during retrieval, sample Bottle & Can is compared with multiple Bottle & Can to be retrieved respectively, from multiple Bottle & Can to be retrieved, retrieve the target Bottle & Can the most close with sample Bottle & Can.
S103, extracts the range of tolerable variance preset.
Described range of tolerable variance comprises height tolerances and neck footpath tolerance.Wherein, height tolerances is the permission height tolerance of sample Bottle & Can profile and Bottle & Can profile to be retrieved.Neck footpath tolerance is the permission bottleneck diameter deviation of sample Bottle & Can profile bottleneck and Bottle & Can profile to be retrieved.
It should be noted that, can according to real needs rational height tolerance and neck footpath tolerance.Preferably, height tolerances is 2mm, and neck footpath tolerance is 1mm.
S104, compares the outline data of described sample Bottle & Can and the outline data of Bottle & Can to be retrieved, extracts the Bottle & Can to be retrieved be in described range of tolerable variance.
It should be noted that, when sample Bottle & Can profile differs too large with the height of Bottle & Can profile to be retrieved, and when exceeding " height tolerances " scope, namely show that both are dissimilar.Similarly, when the bottleneck different diameters of sample Bottle & Can profile and order Bottle & Can profile to be retrieved is too large, and when exceeding " neck footpath tolerance " scope, namely show that both are dissimilar.Therefore, the excessive Bottle & Can of a part of profile difference can be rejected by height tolerances and neck footpath tolerance.
Such as, the altitude information of sample Bottle & Can A is 165mm, and neck footpath data are 21.25mm; The altitude information of Bottle & Can B to be retrieved is 75mm, and neck footpath data are 27.85mm; The altitude information of Bottle & Can C to be retrieved is 164.4mm, and neck footpath data are 38.5mm; The altitude information of Bottle & Can D to be retrieved is 164.5mm, and neck footpath data are 21.8mm; Rational height tolerance is 2mm, and neck footpath tolerance is 1mm.Now, the altitude information of Bottle & Can B to be retrieved is not obviously in " height tolerances " scope, and namely Bottle & Can B to be retrieved and sample Bottle & Can A is obviously dissimilar; The neck footpath data of Bottle & Can C to be retrieved are not obviously in " neck footpath tolerance " scope, and namely Bottle & Can C to be retrieved and sample Bottle & Can A is obviously dissimilar; The altitude information of Bottle & Can D to be retrieved is in " height tolerances " scope, and neck footpath data are also in " neck footpath tolerance " scope simultaneously, and namely Bottle & Can D to be retrieved is similar to sample Bottle & Can A.
S105, calculates described sample Bottle & Can and is in the straggling parameter between the Bottle & Can to be retrieved in described range of tolerable variance.
Described straggling parameter comprises arithmetic mean difference, average variance.
More preferably, described calculating sample Bottle & Can comprises with the method for the arithmetic mean difference being in the Bottle & Can to be retrieved in range of tolerable variance:
According to formula a=|b1/n1-b2/n2|, calculate described sample Bottle & Can and the arithmetic mean difference a being in the Bottle & Can to be retrieved in described range of tolerable variance respectively.
Wherein:
B1 is sample Bottle & Can profile all bottle diameter data sums, and n1 is the number of all bottle diameter data of sample Bottle & Can profile, and b1/n1 is the arithmetic mean of sample Bottle & Can profile.
B2 is Bottle & Can profile to be retrieved all bottle diameter data sums, and n2 is the number of all bottle diameter data of Bottle & Can profile to be retrieved, and b2/n2 is the arithmetic mean of Bottle & Can profile to be retrieved.
Such as, the bottle diameter data 1 of sample Bottle & Can A are 21.25mm, bottle diameter data 2 are 21.25mm, bottle diameter data 3 are 21.25mm, and bottle diameter data 4 are 21.29mm, and bottle diameter data 5 are 21.66mm, bottle diameter data 6 are 22.31mm, bottle diameter data 7 are 22.84mm, and bottle diameter data 8 are 23.26mm, and bottle diameter data 9 are 23.58mm; The bottle diameter data 1 of Bottle & Can B to be retrieved are 27.85mm, bottle diameter data 2 are 27.8623mm, bottle diameter data 3 are 28.4387mm, bottle diameter data 4 are 29.7474mm, bottle diameter data 5 are 30.16mm, and bottle diameter data 6 are 30.5447mm, and bottle diameter data 7 are 31.0778mm, bottle diameter data 8 are 31.7934mm, and bottle diameter data 9 are 32.5981mm; Therefore, the arithmetic mean difference a=|198.69/9-270.0724/9|=7.9314 of sample Bottle & Can A and Bottle & Can B to be retrieved is calculated.
More preferably, described calculating sample Bottle & Can comprises with the method for the average variance being in the Bottle & Can to be retrieved in range of tolerable variance:
According to formula
Calculate described sample Bottle & Can and the average variance z being in the Bottle & Can described to be retrieved in range of tolerable variance respectively.
Wherein:
X
1, x
2, x
3, x
nfor the bottle diameter data of Bottle & Can profile to be retrieved, y
1, y
2, y
3, y
nfor the bottle diameter data of sample Bottle & Can profile, n is the smaller value in the number of Bottle & Can profile to be retrieved all bottle diameters data and the number of all bottle diameter data of sample Bottle & Can profile.
Such as, the number of the bottle diameter data of Bottle & Can to be retrieved is 10, and the number of the bottle diameter data of sample Bottle & Can is 16, and now the value of n is 10.
Such as, the bottle diameter data 1 of sample Bottle & Can A are 21mm, and bottle diameter data 2 are 21mm, and bottle diameter data 3 are 21mm, and bottle diameter data 4 are 22mm, and bottle diameter data 5 are 22mm, and bottle diameter data 6 are 23mm; The bottle diameter data 1 of Bottle & Can B to be retrieved are 27mm, and bottle diameter data 2 are 27mm, and bottle diameter data 3 are 28mm, and bottle diameter data 4 are 29mm, and bottle diameter data 5 are 30mm; Therefore, the average variance of sample Bottle & Can A and Bottle & Can B to be retrieved is calculated
S106, by the outline definition of Bottle & Can to be retrieved minimum for described difference parameter is and the immediate objective contour of described sample Bottle & Can.
It should be noted that, " arithmetic mean is poor " is less, then represent the ensemble average deviation of the bottle diameter data of sample Bottle & Can profile and Bottle & Can profile to be retrieved more close; Similarly, " average variance " is less, then represent that the entirety fluctuation of the bottle diameter data of sample Bottle & Can profile is more close with Bottle & Can profile to be retrieved.Therefore the Bottle & Can to be retrieved of " difference parameter is minimum ", the Bottle & Can to be retrieved that namely " arithmetic mean is poor " and " average variance " is all minimum is target Bottle & Can, namely the profile of target Bottle & Can and the profile of sample Bottle & Can closest.
More preferably, the outline data of described sample Bottle & Can and Bottle & Can to be retrieved is stored in Bottle & Can outline data table, facilitates the mass memory of Bottle & Can outline data, calls flexibly.
Fig. 4 is the storage means process flow diagram of outline data in the method for a kind of circular Bottle & Can profile similarity retrieval of the present invention, comprising:
S201, the Bottle & Can profile of mapping Bottle & Can.
More preferably, the Bottle & Can profile of Bottle & Can is surveyed and drawn by 2D projector or vernier caliper.
It should be noted that, after mapping full pattern completes, Bottle & Can profile is saved as the electronic drawing of AUTOCAD form.
S202, according to described Bottle & Can contours extract outline data.
More preferably, the described method according to Bottle & Can contours extract outline data comprises:
A1, becomes a multi-section-line by the one-sided contour linkage below bottleneck.
As shown in Figure 5, described multi-section-line has two end points, and high point is bottleneck position, and low spot is position at the bottom of bottle, and the vertical range between low and high is altitude information.
A2, with described height point for starting point, arranges unique point every predeterminable range on described multi-section-line.
As shown in Figure 6, described unique point comprises: the point that the high point of multi-section-line, low spot and multi-section-line are got every predeterminable range, unique point forms whole Bottle & Can profile.
Preferably, described predeterminable range M is 1mm (see Fig. 6).
A3, extracts the distance of described unique point and center line successively.
As shown in Figure 6, described center line is the axis of Bottle & Can, and the distance R of described unique point and center line is Bottle & Can radius.
A4, according to described radius calculation diameter data, described diameter data comprises neck footpath data, bottle diameter data.
According to formula, D=R × 2, wherein D is diameter, and R is radius.
The change of described diameter data represents the change of Bottle & Can profile.
S203, by described outline data stored in Bottle & Can outline data table.
Preferably, described Bottle & Can outline data table is as shown in table 1:
Table 1
| Bottle & Can title | Altitude information | Neck footpath data | Bottle diameter data 1 | Bottle diameter data 2 | … | Bottle diameter data n |
Therefore, as shown in Figure 6, during contouring data, first the one-sided contour linkage below bottleneck is become a multi-section-line, then, with the height of multi-section-line point for starting point (bottleneck position), a radius is got every 1mm, calculate diameter data, and diameter data is stored in Bottle & Can outline data table, until the minimum point of multi-section-line (at the bottom of bottle position), Bottle & Can profile can be resolved into by sequentially arranging multiple diameter value from top to bottom, and the diameter data of whole Bottle & Can profile is all exported in Bottle & Can outline data table.
Below in conjunction with embodiment, the present invention is described in further detail.
Embodiment 1:
B1, use the Bottle & Can profile of 2D projector mapping sample Bottle & Can A, and the profile preserving sample Bottle & Can A is the electronic drawing of AUTOCAD form.
B2, opens the electronic drawing of the AUTOCAD form of sample Bottle & Can A, and the one-sided contour linkage below bottleneck is become a multi-section-line.
B3, with height point for starting point, arranges unique point every 1mm on multi-section-line.
B4, the successively distance of extract minutiae and center line.
B5, according to described radius calculation diameter data.
B6, by described outline data stored in Bottle & Can outline data table, in Bottle & Can outline data table, add new object " sample Bottle & Can A ", wherein prestore Bottle & Can C1 to be retrieved, Bottle & Can C2 to be retrieved, Bottle & Can C3 to be retrieved in Bottle & Can outline data table, unit is mm.
B7, is set to 2mm by height tolerances, and neck footpath tolerance is set to 1mm.
B8, compares with the outline data of Bottle & Can C1 to be retrieved, Bottle & Can C2 to be retrieved, Bottle & Can C3 to be retrieved respectively by the outline data of described sample Bottle & Can A, extracts the Bottle & Can C1 to be retrieved and Bottle & Can C2 to be retrieved that are in described range of tolerable variance.
B9, calculates the straggling parameter between sample Bottle & Can A and Bottle & Can C1 to be retrieved, the straggling parameter between sample Bottle & Can A and Bottle & Can C2 to be retrieved respectively.
The arithmetic mean difference obtaining sample Bottle & Can A and Bottle & Can C1 to be retrieved is 0.8571, and the average variance of sample Bottle & Can A and Bottle & Can C1 to be retrieved is 5.298.
The arithmetic mean difference obtaining sample Bottle & Can A and Bottle & Can C1 to be retrieved is 0.4286, and the average variance of sample Bottle & Can A and Bottle & Can C2 to be retrieved is 2.9377.
B10, therefore the profile of Bottle & Can C1 to be retrieved is and the immediate objective contour of described sample Bottle & Can.
As from the foregoing, the present invention, by automatically extracting outline data, sets up the Bottle & Can outline data storehouse that data are complete, does not need the profile attributes of manual typing Bottle & Can, more convenient, accurate.Meanwhile, by analyzing height tolerances and neck footpath tolerance, range of tolerable variance being set, preliminary screening is carried out to Bottle & Can to be retrieved; And pass through arithmetic mean difference and the average variance of analyzing bottle diameter data, calculate the difference parameter of sample Bottle & Can and Bottle & Can to be retrieved, be and the immediate objective contour of described sample Bottle & Can that convenient accurately search has the circular Bottle & Can of profile similar or other have the part of similar demand by the outline definition of Bottle & Can to be retrieved minimum for difference parameter.
The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications are also considered as protection scope of the present invention.
Claims (7)
1. a method for circular Bottle & Can profile similarity retrieval, is characterized in that, comprising:
Extract the outline data of sample Bottle & Can, described outline data comprises altitude information, diameter data, and described diameter data comprises neck footpath data, bottle diameter data;
Extract the outline data of Bottle & Can to be retrieved;
Extract the range of tolerable variance preset, described range of tolerable variance comprises height tolerances and neck footpath tolerance;
The outline data of described sample Bottle & Can and the outline data of Bottle & Can to be retrieved are compared, extracts the Bottle & Can to be retrieved be in described range of tolerable variance;
Calculate described sample Bottle & Can and be in the straggling parameter between the Bottle & Can to be retrieved in described range of tolerable variance, described straggling parameter comprises arithmetic mean difference, average variance;
By the outline definition of Bottle & Can to be retrieved minimum for described difference parameter be and the immediate objective contour of described sample Bottle & Can.
2. the method for circular Bottle & Can profile similarity retrieval as claimed in claim 1, it is characterized in that, described calculating sample Bottle & Can comprises with the method for the arithmetic mean difference being in the Bottle & Can to be retrieved in range of tolerable variance:
According to formula a=|b1/n1-b2/n2|, calculate described sample Bottle & Can and the arithmetic mean difference a being in the Bottle & Can to be retrieved in described range of tolerable variance respectively;
B1 is sample Bottle & Can profile all bottle diameter data sums, and n1 is the number of all bottle diameter data of sample Bottle & Can profile, and b1/n1 is the arithmetic mean of sample Bottle & Can profile;
B2 is Bottle & Can profile to be retrieved all bottle diameter data sums, and n2 is the number of all bottle diameter data of Bottle & Can profile to be retrieved, and b2/n2 is the arithmetic mean of Bottle & Can profile to be retrieved.
3. the method for circular Bottle & Can profile similarity retrieval as claimed in claim 1, it is characterized in that, described calculating sample Bottle & Can comprises with the method for the average variance being in the Bottle & Can to be retrieved in range of tolerable variance:
According to formula
Calculate described sample Bottle & Can and the average variance z being in the Bottle & Can described to be retrieved in range of tolerable variance respectively;
X
1, x
2, x
3, x
nfor the bottle diameter data of Bottle & Can profile to be retrieved, y
1, y
2, y
3, y
nfor the bottle diameter data of sample Bottle & Can profile, n is the smaller value in the number of Bottle & Can profile to be retrieved all bottle diameters data and the number of all bottle diameter data of sample Bottle & Can profile.
4. the method for circular Bottle & Can profile similarity retrieval as claimed in claim 1, it is characterized in that, the outline data of described sample Bottle & Can and Bottle & Can to be retrieved is stored in Bottle & Can outline data table.
5. the method for circular Bottle & Can profile similarity retrieval as claimed in claim 4, it is characterized in that, the storage means of described outline data comprises:
The Bottle & Can profile of mapping Bottle & Can;
According to described Bottle & Can contours extract outline data;
By described outline data stored in Bottle & Can outline data table.
6. the method for circular Bottle & Can profile similarity retrieval as claimed in claim 5, it is characterized in that, the described method according to Bottle & Can contours extract outline data comprises:
One-sided contour linkage below bottleneck is become a multi-section-line, and described multi-section-line has two end points, and high point is bottleneck position, and low spot is position at the bottom of bottle, and the vertical range between low and high is altitude information;
With described height point for starting point, unique point is set on described multi-section-line every predeterminable range;
Extract the distance of described unique point and center line successively, the distance of described unique point and center line is Bottle & Can radius;
According to described radius calculation diameter data, the change of described diameter data represents the change of Bottle & Can profile.
7. the method for circular Bottle & Can profile similarity retrieval as claimed in claim 5, be is characterized in that, surveyed and drawn the Bottle & Can profile of Bottle & Can by 2D projector or vernier caliper.
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