CN108520523A - A kind of line drawing figure framework extraction method retaining non-close curve - Google Patents

A kind of line drawing figure framework extraction method retaining non-close curve Download PDF

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Publication number
CN108520523A
CN108520523A CN201810242570.XA CN201810242570A CN108520523A CN 108520523 A CN108520523 A CN 108520523A CN 201810242570 A CN201810242570 A CN 201810242570A CN 108520523 A CN108520523 A CN 108520523A
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line drawing
pixel
circle
thread
radius
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CN108520523B (en
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杜孟奇
陈佳舟
秦绪佳
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Zhejiang University of Technology ZJUT
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Zhejiang University of Technology ZJUT
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/187Segmentation; Edge detection involving region growing; involving region merging; involving connected component labelling

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • Image Analysis (AREA)

Abstract

A kind of line drawing figure framework extraction method retaining non-close curve, can automatically extract the line drawing figure of rasterizing the framework information for reflecting its structure feature, mainly include the following steps that:First, judged using gray threshold, divide input raster line drawing figure;Secondly, all line drawing pixels obtained to segmentation, calculate their maximum inscribed circle;Then, the expansion for each line drawing pixel being calculated with maximum inscribed circle radius is justified, and the set for expanding non-thread portrait element in circle is obtained;Finally, the connected region quantity for expanding non-thread portrait element in circle by the breadth first traversal Algorithm Analysis of figure, thus obtains the framework information and crosspoint pixel of line drawing figure.

Description

A kind of line drawing figure framework extraction method retaining non-close curve
Technical field
The present invention relates to a kind of line drawing figure framework extraction methods of the reservation non-close curve using computer technology, can The framework information for reflecting its structure feature is automatically extracted to the line drawing figure of rasterizing.
Background technology
Line drawing figure is a kind of widely used, deeply by vast Specialty Design teacher and the favorite drawing shape of amateurish painter Formula.The drafting mode of line drawing figure is extremely simple:Painter sketches the contours of the profile of object and important by style of writing, by lines Detailed information, to intuitively show the thought of painter.In industrial design and artistic creation flow, line drawing figure is as important One of preparation work, instruct entire industrial design and artistic creation flow.Although can be adopted now by equipment such as Digitizing plates Collect all stroke datas in equipment collection line drawing figure painting process, but still has a large amount of line in real production and living Picture is drawn and is recorded as drawing tool by paper pen.
However, the drafting level due to painter is irregular, rendered object is multifarious and draws the difference of mode Lead to how to analyze and reuse these line drawing figures as a problem.With the development of computer image technology, it has been found that right Line drawing region, which carries out skeletal extraction, in line drawing figure can effectively reflect the main component and thought of line drawing figure, and can be by The skeleton extracted carries out the secondary creation of line drawing figure.Therefore, have become according to the skeletal extraction of line drawing figure and analysis method A kind of main way of line drawing map analysis.
Existing line drawing figure framework extraction method extracts painter by region segmentation first and wants to sketch the contours by lines Multiple structural regions out, are then diffused different structural regions, extract the bone in more fine line drawing region Frame.Such method has preferable skeletal extraction effect for the closed curve of line drawing figure, but can lose non-closed curve Framework information.These non-closed curve add-backs are come even by post-processing, the topological structure for also resulting in line drawing figure compares It changes with former line drawing figure.Therefore, there is an urgent need for a kind of line drawing figure framework extraction methods that can preferably retain non-close curve.
Invention content
In order to solve the deficiency of existing line drawing figure framework extraction method, the present invention provides a kind of using computer technology Retain the line drawing figure framework extraction method of non-close curve, can automatically extract and appoint under the premise of keeping topological property constant It anticipates the skeleton of a width line drawing figure.
A kind of line drawing figure framework extraction method retaining non-close curve, this method are as follows:
Step 1, it is two parts by intensity slicing to the rasterizing line drawing figure I of input:Mark gray value less than threshold value t's Pixel is line drawing pixel, constitutes line drawing region;It is non-thread portrait element to mark pixel of the gray value more than or equal to t, constitutes non-line drawing Region.
Step 2, for all line drawing pixel psi, extract with piFor the center of circle and maximum inscribed circle in the line drawing region, Remember that the maximum inscribed circle radius is ri, and obtain r 'i=ri+2。
Step 3, with pixel piFor the center of circle, with r 'iFor radius, round C isi, extract circle CiIn it is non-thread portrait element set Gi
Step 4, pass through the breadth first traversal Algorithm Analysis G of figureiIn connected region number, if GiMiddle connected region Number is 1, then by the pixel piLabeled as non-skeleton pixel, if GiMiddle connected region number is more than or equal to 2, then by the pixel piLabeled as Skeleton pixel.Also, if GiMiddle connected region number is greater than or equal to 3, then pixel piBelong in line drawing figure Crosspoint pixel.
Further, the computational methods of maximum inscribed circle are as follows in step 2:Set initial radius of circle ri=1, under then executing The cycle in face:With piFor the center of circle, riCircle is done for radius, if not occurring non-thread portrait element, increased radius r in the circlei=ri + 1, into recycling next time;If occurring non-thread portrait element in the circle, reduce ri=ri- 1, and stop recycling.In this way For any one line drawing pixel p in line drawing figurei, all have found the maximum inscribed circle half in corresponding line drawing pixel set Diameter ri
Further, the figure in step 4 for breadth first traversal is built in this way:With GiAll non-thread portrait elements are section Point is connected to adjacent pixel node side, the adjacent eight neighborhood judged using image space, i.e., arbitrary non-image side The adjacent pixel of edge pixel is eight pixels nearest with it.Finally, the entire G of statistics complete traversaliRequired breadth First time The number gone through, determines GiPresent in connected region quantity.
The present invention technical concept be:Arbitrary line drawing pixel distance line drawing zone boundary is determined using maximum inscribed circle method Distance, then the circle is suitably expanded, to the quantity of the connected region of non-thread portrait element in the circle after being expanded, is thus sentenced Whether the line drawing pixel of breaking is Skeleton pixel, and further determines whether for crosspoint pixel, to obtain the complete bone of the line drawing figure Frame structural information.
The advantage of the invention is that:By calculating the distance of arbitrary line drawing pixel distance line drawing zone boundary, in conjunction with expansion This skeleton width restrictive condition of the connected region number of non-thread portrait element in circle afterwards, it is ensured that fully reflection line can be extracted Draw the skeleton of architectural characteristic.This method has efficiently and retains non-compared with the existing framework extraction method based on corrosion The characteristics of closed curve structure, and directly the crossover region structure of line drawing figure directly can be analyzed.
Description of the drawings
Fig. 1 is the flow chart of the present invention
Fig. 2 is the input schematic diagram of the present invention
Fig. 3 is the present invention by the segmentation image after binary conversion treatment
Fig. 4 is the schematic diagram of present invention estimation maximum inscribed circle
Fig. 5 is that the present invention utilizes the schematic diagram for expanding circle extraction skeleton
Fig. 6 is the result schematic diagram of the present invention
Specific implementation mode
With reference to attached drawing, further illustrate the present invention:
The line drawing figure framework extraction method for retaining non-close curve, includes the following steps:
Step 1, it is two parts by intensity slicing to the rasterizing line drawing figure I of input:Mark gray value less than threshold value t's Pixel is line drawing pixel, constitutes line drawing region;It is non-thread portrait element to mark pixel of the gray value more than or equal to t, constitutes non-line drawing Region.
Step 2, for all line drawing pixel psi, extract with piFor the center of circle and maximum inscribed circle in the line drawing region, Remember that the maximum inscribed circle radius is ri, and obtain r 'i=ri+2。
Step 3, with pixel piFor the center of circle, with r 'iFor radius, round C isi, extract circle CiIn it is non-thread portrait element set Gi
Step 4, pass through the breadth first traversal Algorithm Analysis G of figureiIn connected region number, if GiMiddle connected region Number is 1, then by the pixel piLabeled as non-skeleton pixel, if GiMiddle connected region number is more than or equal to 2, then by the pixel piLabeled as Skeleton pixel.Also, if GiMiddle connected region number is greater than or equal to 3, then pixel piBelong in line drawing figure Crosspoint pixel.
The computational methods of maximum inscribed circle are as follows in step 2:Set initial radius of circle ri=1, then execute following follow Ring:With piFor the center of circle, riCircle is done for radius, if not occurring non-thread portrait element, increased radius r in the circlei=ri+ 1, into Enter and recycles next time;If occurring non-thread portrait element in the circle, reduce ri=ri- 1, and stop recycling.In this way for line Any one line drawing pixel p in picturei, all have found the maximum inscribed circle radius r in corresponding line drawing pixel seti
Figure in step 4 for breadth first traversal is built in this way:With GiAll non-thread portrait elements are node, to phase Adjacent pixel node is connected with side, the adjacent eight neighborhood judged using image space, i.e., arbitrary non-image edge pixel Adjacent pixel be eight pixels nearest with it.Finally, the entire G of statistics complete traversaliTime of required breadth first traversal Number, determines GiPresent in connected region quantity.
Currently, skeletal extraction is the basis that rasterizing line drawing figure carries out vector quantization, edits a series of processing such as reuse, it is existing The framework extraction method based on morphological operation be difficult to retain the curve of non-close.The present invention proposes a kind of reservation non-close The line drawing figure framework extraction method of curve can automatically extract any one width line drawing under the premise of keeping topological property constant The framework information of figure, while the key nodes such as crosspoint can also be obtained.
Content described in this specification embodiment is only enumerating to the way of realization of inventive concept, protection of the invention Range is not construed as being only limitted to the concrete form that embodiment is stated, protection scope of the present invention is also and in art technology Personnel according to present inventive concept it is conceivable that equivalent technologies mean.

Claims (3)

1. retaining the line drawing figure framework extraction method of non-close curve, include the following steps:
Step 1, it is two parts by intensity slicing to the rasterizing line drawing figure I of input:Gray value is marked to be less than the pixel of threshold value t For line drawing pixel, line drawing region is constituted;It is non-thread portrait element to mark pixel of the gray value more than or equal to t, constitutes non-line drawing region;
Step 2, for all line drawing pixel psi, extract with piFor the center of circle and maximum inscribed circle in the line drawing region, note should Maximum inscribed circle radius is ri, and obtain r 'i=ri+2;
Step 3, with pixel piFor the center of circle, with r 'iFor radius, round C isi, extract circle CiIn it is non-thread portrait element set Gi
Step 4, pass through the breadth first traversal Algorithm Analysis G of figureiIn connected region number, if GiMiddle connected region number It is 1, then by the pixel piLabeled as non-skeleton pixel, if GiMiddle connected region number is more than or equal to 2, then by the pixel piMark It is denoted as Skeleton pixel;Also, if GiMiddle connected region number is greater than or equal to 3, then pixel piBelong to the intersection in line drawing figure Point pixel.
2. retaining the line drawing figure framework extraction method of non-close curve as described in claim 1, it is characterised in that:The step In 2, the computational methods of maximum inscribed circle set initial radius of circle r firsti=1, then execute following cycle:With piFor the center of circle, riCircle is done for radius, if not occurring non-thread portrait element, increased radius r in the circlei=ri+ 1, into recycling next time;Such as Occur non-thread portrait element in the fruit circle, then reduces ri=ri- 1, and stop recycling;In this way for any one in line drawing figure Line drawing pixel pi, all have found the maximum inscribed circle radius r in corresponding line drawing pixel seti
3. retaining the line drawing figure framework extraction method of non-close curve as described in claim 1, it is characterised in that:The step In 4, the structure of the figure for breadth first traversal is first with GiAll non-thread portrait elements are node, are used adjacent pixel node Side is connected, the adjacent eight neighborhood judged using image space, i.e., the adjacent pixel of arbitrary non-image edge pixel be with Its eight nearest pixel;Finally, the entire G of statistics complete traversaliThe number of required breadth first traversal, determines GiMiddle presence Connected region quantity.
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Cited By (2)

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Publication number Priority date Publication date Assignee Title
CN111476795A (en) * 2020-02-27 2020-07-31 浙江工业大学 Binary icon notation method based on breadth-first search
CN117253052A (en) * 2023-11-20 2023-12-19 广州中望龙腾软件股份有限公司 Maximum closure area identification method and device, storage medium and computer equipment

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111476795A (en) * 2020-02-27 2020-07-31 浙江工业大学 Binary icon notation method based on breadth-first search
CN117253052A (en) * 2023-11-20 2023-12-19 广州中望龙腾软件股份有限公司 Maximum closure area identification method and device, storage medium and computer equipment
CN117253052B (en) * 2023-11-20 2024-01-23 广州中望龙腾软件股份有限公司 Maximum closure area identification method and device, storage medium and computer equipment

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