CN105447267A - Image identification technology based picture frame and picture core synthesis method - Google Patents

Image identification technology based picture frame and picture core synthesis method Download PDF

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CN105447267A
CN105447267A CN201510933066.0A CN201510933066A CN105447267A CN 105447267 A CN105447267 A CN 105447267A CN 201510933066 A CN201510933066 A CN 201510933066A CN 105447267 A CN105447267 A CN 105447267A
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width
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CN105447267B (en
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赵帅
厉小润
王建军
蒋汉平
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4038—Image mosaicing, e.g. composing plane images from plane sub-images

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Abstract

The invention discloses an image identification technology based picture frame and picture core synthesis method. When providing a picture frame adapted to a picture core in conventional sense, people judges whether the picture frame is adapted to the picture core or not only by experience in advance. Once a finished product is not satisfied, the product needs to be remade, thereby causing the waste of manpower and material resource costs. According to the method, the adaptive effect of the picture core and the picture frame can be seen only by providing pictures of the picture core and the picture frame and carrying out color replacement, picture frame width identification, picture core and picture frame matching and picture core and picture frame combination, so that the process for providing the picture frame adapted to the picture core is simplified, the needs of customers are easier to meet, and the manpower and material resource costs are reduced.

Description

The synthetic method of a kind of picture frame based on image recognition technology and picture core
Technical field
The invention belongs to intelligent house ornamentation technical field, relate to image recognition and image composing technique, particularly relate to the synthetic method of a kind of picture frame based on image recognition technology and picture core.
Background technology
Along with the develop rapidly of Chinese society economic construction, national more and more higher to the pursuit of quality of the life.The fitting-up of household, office, hotel shows the taste of people to a certain extent.
Decoration painting is the only selection promoting construction decoration class.But people have been not content with over that finished product picture, more and more to the future development that oneself is customized.
In current China market, the combination of most picture core and picture frame has following shortcoming:
1) final achievement relies on experience and the aesthetic level of practitioner to a great extent.And experience and aesthetic be not energetic index.
2) nowadays most of finished product draws core is have fixing proportional sizes, and China's digital camera recoverable amount sustainable growth, the height of the pixel of smart mobile phone almost can match in excellence or beauty with camera, the size of pen and ink calligraphy and painting is varied, and cross embroidery sweeps the country especially ... so there has been the picture core of various ratio and style.
3) adaptation is not the picture core of mainstream ratios, and classic method needs to make physics finished product could find out actual effect veritably, and great cost can be brought as done over again to waste and energy consumption.
Summary of the invention
Content of the present invention is the backwardness for prior art, provides the synthetic method of a kind of picture frame based on image recognition technology and picture core, overcomes the deficiency of traditional picture core and picture frame combination.
Technical scheme of the present invention is as follows:
Picture frame based on image recognition technology is as follows with the synthetic method step of drawing core:
1) get out the picture of picture core and picture frame, the part of process picture frame picture except frame, makes it become pure color, and the pixel value of pure color meets | f rgb-G rgb| > P 0, wherein f rgbthe pixel value of frame any point, G rgbthe pixel value of pure color, P 0for setting value;
2) on the length direction of picture frame picture, n is got at equal intervals lbar straight line, 5≤n l< N l, acquired straight line should be distributed in the both sides of 1/2 length.Get n at equal intervals in the direction of the width wbar straight line, 5≤n w< N w, acquired straight line should be distributed in the both sides of 1/2 width.The pixel value of picture frame picture is N l* N w, wherein N lfor long pixel value, N wfor wide pixel value;
3) the width lw of left frame is obtained 1the width lw of left frame 2and the width W of frame left part in picture frame picture lwith the width W of frame right part r;
4) the width ww of upper side frame is obtained 1with the width ww of lower frame 2and the width W of picture frame picture frame upper portion twith the width W of frame right part b;
5) original undressed frame picture is evenly cut into nine parts, is divided into starting point with left, encodes counterclockwise by positive integer, give up center section;
5.1) the 2nd, the 6th two-part length l is obtained 2and l 6, the width w of the 4th, the 8th part 4and w 8;
5.2) for part 1, intercept with coordinate points (0,0) and coordinate points (W l+ lw 1+ 1, W r+ ww 1+ 1) be cornerwise rectangular area; For the 3rd portion intercepts with coordinate points (0, l 3-ww 2-W b-1) and coordinate points (W l+ lw 1+ 1, l 3) be cornerwise rectangular area; For the 5th portion intercepts with coordinate points (w 5-lw 2-W r-1, l 5) and coordinate points (l 5-ww 2-W b-1, w 5) be cornerwise rectangular area; 7th part is cut with coordinate points (w 7-lw 2-W r-1,0) and coordinate points (w 7, ww 1+ W t+ 1) be cornerwise rectangular area;
5.3) storing step 5.1) and step 5.2) in process after 8 pictures stand-by;
6) mate picture core and picture frame, obtain the length C of picture core land width C w;
7) the length L=C of core and picture frame combination is drawn l+ ww 1+ ww 2; Width W=C w+ lw 1+ lw 2; Get round up and obtain M l; Get round up and obtain M w, setting up long is L, and wide is the painting canvas of W, splices step 5 respectively in the left and right sides of painting canvas) in the 2nd and the 6th part that obtains, by M lindividual 2nd and the 6th part is spliced into the left and right side frame of picture core and picture frame combination finished product, by M windividual 4th and the 8th part is spliced into the upper and lower side frame of picture core and picture frame combination finished product, by step 5) in the picture at four angles be spliced to four angles of picture core and picture frame combination finished product; Intercepted length is L, and width is the picture of W;
8) in step 7) on the painting canvas of gained, with coordinate (lw 1, ww 1) point and coordinate (W-lw 2, L-ww 2) point be vertical angle rectangular area in draw picture core, picture core and picture frame combination finished product can be obtained.
Preferably, described step 3) be specially:
Set of pixels on length direction on n-th straight line is combined into { p n 0 , p n 1 , p n 2 , ... p n ( N W - 2 ) , p n ( N W - 1 ) } , 0 < n &le; n l ;
3.1) count from first pixel on the left of straight line until occur that pixel value is not G rgbfirst pixel stop the width W counting to get frame left part in picture frame picture l.Be not G from pixel value rgbfirst pixel start counting until occur that pixel value is G rgbpixel terminate counting, suppose that now count value is t 0, for the pixel value preventing some point in frame is G rgb, continue to read a backward 0individual pixel value, if be full G rgbthe width lw of left frame can be obtained 1n=t 0; If a 0p has been there is in individual pixel value nm≠ G rgb, t 0<m<N w/ 2, then need from t 0continue counting, from p nmstart to occur that pixel value is G rgbpixel suspend, read a backward 0individual pixel value, so circulation is until a that reads backward 0individual pixel value is G entirely rgbtill, count value is now the width lw of left frame 1n, wherein a 0for setting value;
3.2) the width lw of left frame is obtained 1nafter, continue read pixel value until there is first p nm≠ G rgb, N w/ 2<m<N w, starting counting, is G to appearance first pixel value rgbpixel terminate counting, suppose that now count value is t 1, for the pixel value preventing some point in frame is G rgb, continue to read a backward 0individual pixel value, if be G entirely rgbthe width lw of left frame can be obtained 2n=t 1; If a 0p has been there is in individual pixel value nm≠ G rgb, N w/ 2<m<N w, then need to continue counting, from p nmstart to occur that pixel value is G rgbpixel suspend, read a backward 0individual pixel value, so circulation is until a that reads backward 0individual pixel value is G entirely rgbtill, count value is now the width lw of left frame 2n; Continue counting until last point of straight line obtains the width W of frame right part in picture frame picture r;
3.3) step 3.1 is repeated) and step 3.2), obtain the width data set of left frame average obtain variance if variance D is (lw 1n) <b 0, then the width lw of left frame is obtained 1=lw ' 1; If D is (lw 1n)>=b 0, then reject the maximum value of data deviation, then average and variance, until D (lw 1n) <b 0, then the width lw of left frame is obtained 1, b 0for setting value;
3.4) data of left frame average obtain variance if variance D is (lw 2n) <b 0then obtain the width lw of left frame 2=lw ' 2; If D is (lw 2n) >=b 0, then reject the maximum value of data large deviations, then average and variance, until D (lw 2n) <b 0, then the width lw of left frame is obtained 2.
Preferably, described step 4) be specially: the set of pixels on Width on n-th straight line is combined into: { p n 0 , p n 1 , p n 2 , ... p n ( N l - 2 ) , p n ( N l - 1 ) } , 0 < n &le; n w , Method as claimed in claim 2 is used to obtain the width ww of upper side frame 1with the width ww of lower frame 2and the width W of picture frame picture frame upper portion twith the width W of frame right part b;
Preferably, described step 6) be specially: the length C obtaining picture core picture land width C w, obtain the ratio of the width of picture core and picture frame and length ratio if min{R l, R w}>=m 0, then need to reduce min{R to picture core picture l, R wdoubly, obtain if min{R l, R w<m 0, then directly next step is carried out.
The present invention is a kind of picture frame based on image recognition technology and the synthetic method of drawing core.Relative to classic method, there is following advantage:
1) application of the present invention, makes user use regular handset, and dull and stereotyped or PC, just can become " designer ", constantly attempts comparing the picture frame obtaining user and like according to drawing core.
2) the present invention has broken the restriction of dimension scale, can according to the arbitrary picture frame of picture core size fit.
3) the present invention only needs the picture of picture core and picture frame just can farthest find out finished product effect, dramatically saves on cost and user's energy.
Accompanying drawing explanation
Fig. 1 is picture frame picture pure color result schematic diagram of the present invention;
Fig. 2 is cut-off line schematic diagram on length direction;
Fig. 3 is cut-off line schematic diagram on Width;
Fig. 4 is picture frame picture border width schematic diagram of the present invention;
Fig. 5 is the coding schematic diagram that undressed frame picture is evenly cut into nine parts;
Fig. 6 is the left and right side frame schematic diagram that use of the present invention 2nd and the 6th part is spliced into picture core and picture frame combination finished product;
Fig. 7 is the upper and lower side frame schematic diagram that use the 4th and the 8th part is spliced into picture core and picture frame combination finished product
Fig. 8 is the upper and lower side frame schematic diagram that the picture at use 4 angles is spliced into picture core and picture frame combination finished product
Fig. 9 is the schematic diagram after intercepting width and length;
Figure 10 be step 5 of the present invention ?the coordinate system schematic diagram of step 8.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is further detailed.
The present invention is based on the picture frame of image recognition technology and draw the synthetic method of core, step is as follows:
1) get out the picture of picture core and picture frame, the part of process picture frame picture except frame, makes it become pure color, and the pixel value of pure color meets | f rgb-G rgb| > P 0, wherein f rgbthe pixel value of frame any point, G rgbthe pixel value of pure color, P 0for setting value; As shown in Figure 1, in order to ensure treatment effect, setting value P should be made 0large as far as possible;
2) on the length direction of picture frame picture, n is got at equal intervals lbar straight line, 5≤n l< N l, acquired straight line should be distributed in the both sides of 1/2 length, as shown in Figure 2; Get n at equal intervals in the direction of the width wbar straight line, 5≤n w< N w, acquired straight line should be distributed in the both sides of 1/2 width, and as shown in Figure 3, the pixel value of picture frame picture is N l* N w, wherein N lfor long pixel value, N wfor wide pixel value;
3) the width lw of left frame is obtained 1the width lw of left frame 2and the width W of frame left part in picture frame picture lwith the width W of frame right part r;
Described step 3) be specially:
Set of pixels on length direction on n-th straight line is combined into { p n 0 , p n 1 , p n 2 , ... p n ( N W - 2 ) , p n ( N W - 1 ) } , 0 < n &le; n l ;
3.1) count from first pixel on the left of straight line until occur that pixel value is not G rgbfirst pixel stop the width W counting to get frame left part in picture frame picture l.Be not G from pixel value rgbfirst pixel start counting until occur that pixel value is G rgbpixel terminate counting, suppose that now count value is t 0, for the pixel value preventing some point in frame is G rgb, continue to read a backward 0individual pixel value, if be full G rgbthe width lw of left frame can be obtained 1n=t 0; If a 0p has been there is in individual pixel value nm≠ G rgb, t 0<m<N w/ 2, then need from t 0continue counting, from p nmstart to occur that pixel value is G rgbpixel suspend, read a backward 0individual pixel value, so circulation is until a that reads backward 0individual pixel value is G entirely rgbtill, count value is now the width lw of left frame 1n, wherein a 0for setting value;
3.2) the width lw of left frame is obtained 1nafter, continue read pixel value until there is first p nm≠ G rgb, N w/ 2<m<N w, starting counting, is G to appearance first pixel value rgbpixel terminate counting, suppose that now count value is t 1, for the pixel value preventing some point in frame is G rgb, continue to read a backward 0individual pixel value, if be G entirely rgbthe width lw of left frame can be obtained 2n=t 1; If a 0p has been there is in individual pixel value nm≠ G rgb, N w/ 2<m<N w, then need to continue counting, from p nmstart to occur that pixel value is G rgbpixel suspend, read a backward 0individual pixel value, so circulation is until a that reads backward 0individual pixel value is G entirely rgbtill, count value is now the width lw of left frame 2n; Continue counting until last point of straight line obtains the width W of frame right part in picture frame picture r;
3.3) step 3.1 is repeated) and step 3.2), obtain the width data set of left frame average obtain variance if variance D is (lw 1n) <b 0, then the width lw of left frame is obtained 1=lw ' 1; If D is (lw 1n)>=b 0, then reject the maximum value of data deviation, then average and variance, until D (lw 1n) <b 0, then the width lw of left frame is obtained 1, b 0for setting value;
3.4) data of left frame average obtain variance if variance D is (lw 2n) <b 0then obtain the width lw of left frame 2=lw ' 2; If D is (lw 2n) >=b 0, then reject the maximum value of data large deviations, then average and variance, until D (lw 2n) <b 0, then the width lw of left frame is obtained 2.
4) the width ww of upper side frame is obtained 1with the width ww of lower frame 2and the width W of picture frame picture frame upper portion twith the width W of frame right part b; Set of pixels on Width on n-th straight line is combined into: { p n 0 , p n 1 , p n 2 , ... p n ( N l - 2 ) , p n ( N l - 1 ) } , 0 < n &le; n w , Method as claimed in claim 2 is used to obtain the width ww of upper side frame 1with the width ww of lower frame 2and the width W of picture frame picture frame upper portion twith the width W of frame right part b;
Net result as shown in Figure 4.
5) original undressed frame picture is evenly cut into nine parts, is divided into starting point with left, encodes counterclockwise by positive integer, give up center section; As shown in Figure 5.
5.1) the 2nd, the 6th two-part length l is obtained 2and l 6, the width w of the 4th, the 8th part 4and w 8;
As shown in Figure 10, all coordinate points of the present invention is all being true origin based on the frame upper left corner in picture frame, and horizontal direction is X-axis, and vertical direction is y-axis.
5.2) for part 1, intercept with coordinate points (0,0) and coordinate points (W l+ lw 1+ 1, W r+ ww 1+ 1) be cornerwise rectangular area; For the 3rd portion intercepts with coordinate points (0, l 3-ww 2-W b-1) and coordinate points (W l+ lw 1+ 1, l 3) be cornerwise rectangular area; For the 5th portion intercepts with coordinate points (w 5-lw 2-W r-1, l 5) and coordinate points (l 5-ww 2-W b-1, w 5) be cornerwise rectangular area; 7th part is cut with coordinate points (w 7-lw 2-W r-1,0) and coordinate points (w 7, ww 1+ W t+ 1) be cornerwise rectangular area;
5.3) storing step 5.1) and step 5.2) in process after 8 pictures stand-by;
6) mate picture core and picture frame, obtain the length C of picture core land width C w; Described step 6) be specially: the length C obtaining picture core picture land width C w, obtain the ratio of the width of picture core and picture frame and length ratio if min{R l, R w}>=m 0, then need to reduce min{R to picture core picture l, R wdoubly, obtain C l = C l min { R l , R W } , C w = C w min { R l , R W } ; If min{R l, R w<m 0, then directly next step is carried out.
7) the length L=C of core and picture frame combination is drawn l+ ww 1+ ww 2; Width W=C w+ lw 1+ lw 2; Get round up and obtain M l; Get round up and obtain M w, setting up long is L, and wide is the painting canvas of W, splices step 5 respectively in the left and right sides of painting canvas) in the 2nd and the 6th part that obtains, by M lindividual 2nd and the 6th part is spliced into the left and right side frame of picture core and picture frame combination finished product, as shown in Figure 6.By M windividual 4th and the 8th part is spliced into the upper and lower side frame of picture core and picture frame combination finished product, as shown in Figure 7.By step 5) in the picture at four angles be spliced to four angles of picture core and picture frame combination finished product; As shown in Figure 8.Intercepted length is L, and width is the picture of W; As shown in Figure 9.
8) in step 7) on the painting canvas of gained, with coordinate (lw 1, ww 1) point and coordinate (W-lw 2, L-ww 2) point be vertical angle rectangular area in draw picture core, picture core and picture frame combination finished product can be obtained.

Claims (4)

1., based on the picture frame of image recognition technology and a synthetic method for picture core, it is characterized in that step is as follows:
1) get out the picture of picture core and picture frame, the part of process picture frame picture except frame, makes it become pure color, and the pixel value of pure color meets | f rgb-G rgb| > P 0, wherein f fgbthe pixel value of frame any point, G rgbthe pixel value of pure color, P 0for setting value;
2) on the length direction of picture frame picture, n is got at equal intervals lbar straight line, 5≤n l< N l, acquired straight line should be distributed in the both sides of 1/2 length; Get n at equal intervals in the direction of the width wbar straight line, 5≤n w< N w, acquired straight line should be distributed in the both sides of 1/2 width; The pixel value of picture frame picture is N l* N w, wherein N lfor long pixel value, N wfor wide pixel value;
3) the width lw of left frame is obtained 1the width lw of left frame 2and the width W of frame left part in picture frame picture lwith the width W of frame right part r;
4) the width ww of upper side frame is obtained 1with the width ww of lower frame 2and the width W of picture frame picture frame upper portion twith the width W of frame right part b;
5) original undressed frame picture is evenly cut into nine parts, is divided into starting point with left, encodes counterclockwise by positive integer, give up center section;
5.1) the 2nd, the 6th two-part length l is obtained 2and l 6, the width w of the 4th, the 8th part 4and w 8;
5.2) for part 1, intercept with coordinate points (0,0) and coordinate points (W 1+ lw 1+ 1, W r+ ww 1+ 1) be cornerwise rectangular area; For the 3rd portion intercepts with coordinate points (0, l 3-ww 2-W b-1) and coordinate points (W l+ lW 1+ 1, l 3) be cornerwise rectangular area; For the 5th portion intercepts with coordinate points (w 5-lw 2-W r-1, l 5) and coordinate points (l 5-ww 2-W 0-1, w 5) be cornerwise rectangular area; 7th part is cut with coordinate points (w 1-lw 2-W r-1,0) and coordinate points (w 7, ww 1+ w t+ 1) be cornerwise rectangular area;
5.3) storing step 5.1) and step 5.2) in process after 8 pictures stand-by;
6) mate picture core and picture frame, obtain the length C of picture core land width C w;
7) the length L=C of core and picture frame combination is drawn l+ ww 1+ ww 2; Width W=C w+ lw 1+ lw 2; Get round up and obtain M l; Get round up and obtain M w, setting up long is L, and wide is the painting canvas of W, splices step 5 respectively in the left and right sides of painting canvas) in the 2nd and the 6th part that obtains, by M lindividual 2nd and the 6th part is spliced into the left and right side frame of picture core and picture frame combination finished product, by M windividual 4th and the 8th part is spliced into the upper and lower side frame of picture core and picture frame combination finished product, by step 5) in the picture at four angles be spliced to four angles of picture core and picture frame combination finished product; Intercepted length is L, and width is the picture of W;
8) in step 7) on the painting canvas of gained, with coordinate (lw 1, ww 1) point and coordinate (W-lw 2, L-ww 2) point be vertical angle rectangular area in draw picture core, picture core and picture frame combination finished product can be obtained.
2. synthetic method as claimed in claim 1, is characterized in that described step 3) be specially:
Be combined into perpendicular to the set of pixels on n-th straight line on length direction 0 < n≤n l;
3.1) count from first pixel on the left of straight line until occur that pixel value is not G rgbfirst pixel stop the width W counting to get frame left part in picture frame picture l; Be not G from pixel value rgbfirst pixel start counting until occur that pixel value is G rgbpixel terminate counting, suppose that now count value is t 0, for the pixel value preventing some point in frame is G rgb, continue to read a backward 0individual pixel value, if be full G rgbthe width lw of left frame can be obtained 1n=t 0; If a 0p has been there is in individual pixel value nm≠ G rgb, t 0<m<N w/ 2, then need from t 0continue counting, from p nmstart to occur that pixel value is G rgbpixel suspend, read a backward 0individual pixel value, so circulation is until a that reads backward 0individual pixel value is G entirely rgbtill, count value is now the width lw of left frame 1n, wherein a 0for setting value;
3.2) the width lw of left frame is obtained 1nafter, continue read pixel value until there is first p nm≠ G rgb, N w/ 2<m<N w, starting counting, is G to appearance first pixel value rgbpixel terminate counting, suppose that now count value is t 1, for the pixel value preventing some point in frame is G rgb, continue to read a backward 0individual pixel value, if be G entirely rgbthe width lw of left frame can be obtained 2n=t 1; If a 0p has been there is in individual pixel value nm≠ G rgb, N w/ 2<m<N w, then need to continue counting, from p nmstart to occur that pixel value is G rgbpixel suspend, read a backward 0individual pixel value, so circulation is until a that reads backward 0individual pixel value is G entirely rgbtill, count value is now the width lw of left frame 2n; Continue counting until last point of straight line obtains the width W of frame right part in picture frame picture r;
3.3) step 3.1 is repeated) and step 3.2), obtain the width data set of left frame average obtain variance
if variance D is (lw 1n) <b 0, then the width of left frame is obtained
Lw 1=lw 1'; If D is (lw 1n)>=b 0, then reject the maximum value of data deviation, then average and variance, until D (lw 1n) <b 0, then the width lw of left frame is obtained 1, b 0for setting value;
3.4) data of left frame average obtain variance
if variance D is (lw 2n) <b 0then obtain the width of left frame
Lw 2=lw 2'; If D is (lw 2n) >=b 0, then reject the maximum value of data large deviations, then average and variance, until D (lw 2n) <b 0, then the width lw of left frame is obtained 2.
3. synthetic method as claimed in claim 1, is characterized in that described step 4) be specially: be combined into perpendicular to the set of pixels on n-th straight line on Width: 0 < n≤n w, use method as claimed in claim 2 to obtain the width ww of upper side frame 1with the width ww of lower frame 2and the width w of picture frame picture frame upper portion twith the width w of frame right part b.
4. synthetic method as claimed in claim 1, is characterized in that described step 6) be specially: the length C obtaining picture core picture land width C w, obtain the ratio of the width of picture core and picture frame and length ratio if then need to reduce min{R to picture core picture l, R wdoubly, obtain if min{R l, R w<m 0, then directly next step is carried out.
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Publication number Priority date Publication date Assignee Title
CN109808406A (en) * 2019-04-09 2019-05-28 广州真迹文化有限公司 The online method for mounting of painting and calligraphy pieces, system and storage medium
CN112907695A (en) * 2020-03-20 2021-06-04 上海程烁网络科技有限公司 Method and system for generating decorative picture matching frame, electronic equipment and storage medium

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