WO2018214712A1 - 用于打印技术的图像数据处理方法以及打印系统 - Google Patents

用于打印技术的图像数据处理方法以及打印系统 Download PDF

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Publication number
WO2018214712A1
WO2018214712A1 PCT/CN2018/085450 CN2018085450W WO2018214712A1 WO 2018214712 A1 WO2018214712 A1 WO 2018214712A1 CN 2018085450 W CN2018085450 W CN 2018085450W WO 2018214712 A1 WO2018214712 A1 WO 2018214712A1
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Prior art keywords
sampling
points
image
data processing
point
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PCT/CN2018/085450
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English (en)
French (fr)
Inventor
陈伟
向东清
谢林庭
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珠海赛纳打印科技股份有限公司
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Priority to JP2019547618A priority Critical patent/JP6843487B2/ja
Priority to EP18805012.4A priority patent/EP3632656A4/en
Publication of WO2018214712A1 publication Critical patent/WO2018214712A1/zh
Priority to US16/685,118 priority patent/US11657507B2/en

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B33—ADDITIVE MANUFACTURING TECHNOLOGY
    • B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y50/00—Data acquisition or data processing for additive manufacturing
    • B33Y50/02—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
    • B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
    • B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
    • B29C64/30—Auxiliary operations or equipment
    • B29C64/386—Data acquisition or data processing for additive manufacturing
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
    • B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
    • B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
    • B29C64/30—Auxiliary operations or equipment
    • B29C64/386—Data acquisition or data processing for additive manufacturing
    • B29C64/393—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B33—ADDITIVE MANUFACTURING TECHNOLOGY
    • B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y30/00—Apparatus for additive manufacturing; Details thereof or accessories therefor
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B33—ADDITIVE MANUFACTURING TECHNOLOGY
    • B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y50/00—Data acquisition or data processing for additive manufacturing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/143—Segmentation; Edge detection involving probabilistic approaches, e.g. Markov random field [MRF] modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G06T2200/04—Indexing scheme for image data processing or generation, in general involving 3D image data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20168—Radial search
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/20—Indexing scheme for editing of 3D models
    • G06T2219/2008—Assembling, disassembling

Definitions

  • the present application relates to the field of rapid prototyping technology, and in particular, to an image data processing method and a printing system for printing technology.
  • Rapid prototyping technology also known as rapid prototyping technology or additive manufacturing technology or 3D printing technology, is based on 3D modeling and layering processing to form 3D printed objects.
  • a 3D inkjet printer in which a printhead is arranged in a multi-nozzle array moves in such a manner that the printing platform moves along the X and Y axes with respect to the printhead, and after completing one layer, moves to the origin, and the printing platform descends by one layer with respect to the printhead. After the height, a new layer of printing work is started, and this cycle is performed to form a 3D printed object.
  • a new type of 3D inkjet printer with a circular printing platform appears. Unlike the X and Y axis movement of a conventional 3D inkjet printer, the circular printing platform rotates continuously with respect to the printhead. The print heads work during the rotation and are stacked layer by layer to form a 3D printed object. Compared with the conventional 3D inkjet printer, the printing method of the printer having the circular printing platform skips the three stages of acceleration, deceleration, and stop, and can effectively improve the printing efficiency.
  • the slice layer of the traditional 3D inkjet printer is a rectangular dot matrix image.
  • the pixels on the image are divided into blank dots and effective dots, and the blank dots are printheads.
  • the effective point is the data point of the print head response work; according to the position of the pixel of the rectangular dot image corresponding to the X and Y axes, the print head moves for point-by-point printing, therefore, according to the existing Rectangular dot-matrix images are arranged and printed on a circular printing platform, which will result in inconsistent distribution of pixel points of different radii on the circular printing platform. The closer the center point of the circular region is, the denser the pixel points will be. Causes distortion of the printed object.
  • the present application provides an image data processing method and a printing system for printing technology, which can solve the above problems.
  • a first aspect of the present application provides an image data processing method for a printing technique, the image including a first bitmap image; and the image data processing method includes:
  • Each of the sample points is rearranged to form a second bitmap image, the second bitmap image being different from the first bitmap image.
  • the method for dividing the first bitmap image into a plurality of regions and selecting a sampling position for sampling in each of the regions is:
  • the first bitmap image is divided into a plurality of circumferences, and sampling positions are selected on each of the circumferences along the circumferential direction of each of the circumferences to acquire the sampling points.
  • At most one of the circumferences of each of the circumferences coincides with a maximum inscribed circle of the first bitmap image; the rest are located within the maximum inscribed circle.
  • the plurality of said circumferences are concentric circles.
  • the difference in radii of any two adjacent said circumferences is equal.
  • the angles of the centers formed by any two adjacent sampling positions are equal.
  • the sampling position is selected on each of the circumferences for sampling, and the sampling point is obtained by: selecting the same number of sampling positions on each circumference to perform sampling, and acquiring the same number of sampling points. .
  • the sampling position is selected on each of the circumferences for sampling, and the sampling point is obtained by performing sampling manner by selecting different sampling positions on each circumference to obtain different sampling points. .
  • the different sampling positions are selected on each of the circumferences for sampling, and among the different sampling points, the selected ones on the circumferences along the radial direction of the maximum inscribed circle are obtained.
  • the trend of the number of sampling positions is consistent with the trend of the radius of each of the circumferences.
  • the different sampling positions are selected on each of the circumferences for sampling, and among the different sampling points, the selected ones on the circumferences along the radial direction of the maximum inscribed circle are obtained.
  • the number of sampling locations is proportional to the radius of each of the circumferences.
  • the rearranging the sampling points to form a second bitmap image is specifically:
  • the sampling points on the same circumference are arranged in a row, and the sampling points located on different circumferences and in the same radial direction of the maximum inscribed circle are arranged in a row, and each sampling point is re-created.
  • Arranging to form the second bitmap image is specifically:
  • sampling points are arranged in a row on the same circumference, and the sampling points on the same circumference in the same radial direction of the maximum inscribed circle are arranged in a row, and the sampling points are rearranged to form M*.
  • the second bitmap image of N where M is a row, N is a column, and M and N are positive integers;
  • the method further includes:
  • the blank point is added, so that the sum of the number of the blank points and the number of sampling points in the row is equal to N, wherein at the blank point, the print head is not Perform a print operation.
  • the blanking point is specifically performed in one of the following manners:
  • the method for dividing the first bitmap image into a plurality of regions, and selecting a sampling position for sampling in each of the regions is:
  • the rearranging each of the sampling points to form a second bitmap image is specifically:
  • the sampling position is selected on each of the circumferences along the radial direction of the maximum inscribed circle for sampling, and the number of sampling positions selected on different radii is equal in the sampling points.
  • the sampled data point is a data point that has been sampled
  • the sample point is a blank point, and at the blank point, the print head does not perform a print operation.
  • the method further comprises:
  • the neighboring point is a data point obtained by using any one of the following methods: the coordinate of the sampling position is a data point at a coordinate position after rounding, and the coordinates of the sampling position are taken downward or upward.
  • the data points at the coordinate position after the entire coordinate position and the coordinates of the positions where the plurality of the adjacent points are located are calculated by weighting the data points at the coordinate positions.
  • the first bitmap image is a rectangular dot matrix image; and the second bitmap image is a bitmap image uniformly distributed on each of the regions.
  • a second aspect of the present application provides a printing system using the image data processing method according to any of the above, the image comprising a first dot image, the printing system comprising a printing device and a data processing device,
  • the data processing apparatus is configured to divide the first bitmap image into a plurality of regions, select sampling locations in each of the regions for sampling, acquire sampling points, and rearrange the sampling points to form a second lattice image;
  • the printing device includes a printhead that is rotatable relative to the printhead about an axis perpendicular to the print face, and a printhead for the print platform based on the second bitmap image A printed object is formed on it.
  • the image data processing method provided by the present application divides the first bitmap image into a plurality of regions, respectively selects sampling positions on each region for sampling, acquires sampling points, and then rearranges the sampling points to form a second bitmap image. Since the second dot image is a point on each area, it can be arranged according to the movement manner of the print head. Therefore, when the print head arranged in the multi-nozzle array is circularly printed, the data of the second dot image is formed. The pixel points are actually distributed in a uniform manner in different areas of the printing result, thereby avoiding the problem of inconsistent distribution of pixel points of different radii, so that the printing pixels are distributed as evenly as possible, thereby improving the printing quality of the printed object.
  • FIG. 1 is a schematic view of a print head of a conventional 3D inkjet printer moving along the X and Y axes with respect to a printing platform in the background art;
  • FIG. 2 is a schematic structural view of a novel 3D printer having a circular printing platform
  • FIG. 3 is a schematic diagram of data points including effective points and blank points on a first bitmap image in the present application
  • FIG. 4 is a schematic diagram of sampling the first bitmap image into a plurality of circles in the first embodiment
  • FIG. 5 is a schematic diagram of sampling coordinates of a sampling position in the first embodiment
  • FIG. 6 is a schematic diagram showing the positional relationship between sampling coordinates and data points in the first embodiment
  • FIG. 7 is a schematic diagram of a second bitmap image before the repeated sampling point is replaced with a blank point in the first embodiment
  • FIG. 8 is a schematic diagram of the second bitmap image after the repeated sampling points are replaced by blank points in the first embodiment.
  • FIG. 9 is a schematic diagram of a second dot matrix image in which no blank point compensation is used in the second embodiment
  • FIG. 10 is a schematic diagram of sampling the first bitmap image into a plurality of radial directions in the third embodiment
  • FIG. 11 is a schematic diagram of sampling coordinates of a sampling position in Embodiment 3.
  • FIG. 12 is a schematic diagram showing the positional relationship between sampling coordinates and data points in the third embodiment
  • FIG. 13 is a flowchart of a method for processing image data provided by the present application.
  • FIG. 17 is a schematic structural diagram of a printing system provided in Embodiment 4.
  • the image described in the present application is an image formed by slicing a target object into a data structure and composed of data points.
  • the target printed object is converted into a data structure, for example, the information of the target object can be obtained by scanning, and then the information contained in the target object is converted into a data format that can be recognized by the layered slice software of the processing terminal, such as an STL format. , PLY format, WRL format, etc.
  • the information contained in the target object may be in a layer unit, that is, the target object is scanned and converted into a data format that can be recognized by the layered slice software of the processing terminal, and then sliced by layered software. Each slice layer is the image described in the present application.
  • the image includes a first bitmap image, and a plurality of data points are obtained by parsing the first bitmap image of the image, the data point includes a blank point and an effective point, and the blank point indicates that the print head does not need to respond to the working data point, and the effective point
  • the data point distribution of the first dot image is shown.
  • the solid dots in the virtual frame 301 are shown as effective points, and the hollow points outside the virtual frame 301 are shown. Indicates a blank spot. It should be noted that the solid points and the hollow points shown in FIG. 3 are only examples of the effective points and the blank points, and do not have any limiting effect on the drawings mentioned later in the present application.
  • an embodiment of the present application provides an image data processing method for a printing technology, including:
  • S101 dividing the first bitmap image into a plurality of regions, selecting sampling locations in each region for sampling, and acquiring sampling points;
  • S102 Rearrange the sampling points to form a second bitmap image.
  • the image processing method is used to process the image, that is, the first bitmap image is divided into multiple regions, and sampling positions are selected in each region for sampling, sampling points are obtained, and then the sampling points are rearranged to form a second bitmap image. Since the second dot image is a point on each area, it can be arranged according to the movement manner of the print head. Therefore, in the process of printing the print head, the data of the second dot image is actually arranged in an area manner, thereby The problem of inconsistent distribution of pixel points of different radii is avoided, so that the pixels on each area are distributed as evenly as possible, thereby improving the print quality of the printed object.
  • step S101 is performed as follows:
  • the first bitmap image is divided into a plurality of circumferences, and sampling positions are selected on each circumference along the circumferential direction of each circumference to be sampled to obtain sampling points.
  • the area in the above step S101 is a circumference.
  • at least one circumference of each of the above circumferences coincides with a maximum inscribed circle of the first bitmap image, and the rest are located within a maximum inscribed circle.
  • the first bitmap image 1 is divided into a plurality of circumferences.
  • the plurality of circumferences are respectively a first circumference C1, a second circumference C2, a third circumference C3, a fourth circumference C4, ..., wherein the first circumference C1 is the maximum inscribed circle of the first bitmap image 1, and the second circumference C2 The third circumference C3 and the fourth circumference C4 are all located within the maximum inscribed circle.
  • each of the circumferences is a concentric circle, that is, the centers of the circumferences coincide, and the unequal radii, as shown in FIG. 4, the first circumference C1, the second circumference C2, the third circumference C3, and the fourth circumference C4 are concentric circles.
  • the circumferences can also be rounded and not coincident.
  • the difference between the radii of any two adjacent circumferences may be equal or unequal.
  • the difference between the radii of any two adjacent circumferences is equal to facilitate the calculation of the coordinates of each sampling position.
  • angles of the centers formed by any two adjacent sampling positions are equal on any one circumference.
  • step S101 can be performed in the following manners:
  • the first sampling method sampling the same number of sampling positions on each circumference to obtain the same number of sampling points, that is, the number of sampling positions on each circumference is the same.
  • the coordinates of each sampling position are ((rn* ⁇ r)*cos(m* ⁇ ), (rn* ⁇ r)*sin(m* ⁇ )), where P is the resolution of the print target, r
  • the radius of the largest inscribed circle, ⁇ is the central angle formed by two adjacent sampling positions on the same circumference.
  • ⁇ 360° /N
  • ⁇ r the distance between two adjacent circumferences.
  • ⁇ r 25.4/P
  • m, n are integers, and 0 ⁇ m ⁇ N, 0 ⁇ n ⁇ r * P / 25.4.
  • the same number of sampling positions are selected on each circumference for sampling, and when the same number of sampling points are obtained, the closer to the center of the circle, the denser the sampling position, and even multiple sampling points may coincide, in order to avoid the above situation,
  • the same number of sampling positions are selected on the circumference for sampling, and the process of obtaining the same number of sampling points includes:
  • the sampled data point is a data point that has been sampled
  • the sample point is a blank point, wherein at the blank point, the print head does not perform a print operation.
  • the second sampling method sampling a different number of sampling positions on each circumference to obtain different sampling points, that is, the sampling position and the number of sampling points on each circumference are different.
  • the variation trend of the number of sampling positions selected on each circumference coincides with the change trend of the radius of each circumference, that is, the circle pointing to the center along the circumference having the largest inscribed circle
  • the radius of each circumference is reduced, and the number of sampling positions selected on the corresponding circumference is also reduced, so that when sampling on the circumference close to the center of the circle, excessive sampling points can be avoided to cause data points to coincide.
  • the number of sampling positions selected on each circumference is proportional to the radius of each circumference.
  • N the number of sampling positions that can be selected on each circumference.
  • the coordinates of each sampling position are ((r'-n* ⁇ r)*cos(m* ⁇ ), (r'-n* ⁇ r)*sin(m* ⁇ ))
  • P is the resolution of the print target
  • r' is the radius of the circumference corresponding to each circumference
  • ⁇ is the central angle formed by two adjacent sampling positions on the same circumference, and any two adjacent on any one circumference
  • ⁇ 360°/N
  • ⁇ r is the distance between two adjacent circumferences
  • ⁇ r 25.4/P
  • m, n are integers, and 0 ⁇ m ⁇ N, 0 ⁇
  • the arrangement of the second bitmap image in step S102 may be:
  • step S1021 may be specifically:
  • Rows of sampling points on the same circumference are arranged in a row, and sampling points located on different circumferences in the same radial direction of the largest inscribed circle are arranged in a row, and the sampling points are rearranged to form a second M*N.
  • a bitmap image where M is a row, N is a column, and M and N are positive integers;
  • the above methods also include:
  • the blanking point is added, so that the sum of the number of blanking points and the number of sampling points in the row is equal to N, wherein, at the blanking point, the printing head does not perform the printing operation.
  • the step S101 is specifically performed by dividing the first bitmap image into a plurality of radii, and sampling the sampling position on each radius along the radial direction of the largest inscribed circle to obtain a sampling point, where Each radius is the radius of the largest inscribed circle of the first bitmap image, that is, the area of step S101 is selected as the radius of the largest inscribed circle of the first bitmap image, and each radius is sampled.
  • the distance between any two adjacent sampling locations may be equal or unequal.
  • the central angles formed by two sampling locations located on any two adjacent radii may be equal or unequal.
  • the coordinates of the sampling position are ((rn* ⁇ r)*cos(m* ⁇ ), (rn* ⁇ r)*sin(m* ⁇ )), where P is the resolution of the print target, r is The radius of the largest inscribed circle, ⁇ is the central angle formed by two sampling positions located on two adjacent radii and the sampling position is equal to the center of the largest inscribed circle, and two samples at any two adjacent radii
  • ⁇ 360°/N
  • ⁇ r is the distance between two adjacent sampling positions on the same radius
  • the distance between any two adjacent sampling positions on the same radius is equal.
  • ⁇ r 25.4/P
  • m and n are integers, and 0 ⁇ m ⁇ N, 0 ⁇ n ⁇ k.
  • the sampling points in the same radial direction of the largest inscribed circle are arranged in a row, and the sampling points located on different radii and the sampling position are equal to the center of the largest inscribed circle are arranged in a line.
  • the image data processing method further includes:
  • At least one neighboring point of the area where the sampling position is located is selected as the sampling point of the sampling position, wherein the neighboring point is a data point located on at least one side of the above area.
  • the neighboring point may be a data point in the vicinity of the sampling point, and the data point closest to the sampling position, or the neighboring point is a data point obtained by using any one of the following methods: the coordinates of the sampling position are rounded off.
  • the data point at the coordinate position and the coordinates of the sampling position are the data points at the coordinate positions obtained by weighting the data points at the coordinate positions rounded up or up, and the coordinates of the positions where the plurality of adjacent points are located, for example,
  • the coordinates of the sampling position are (1.3, 2.6)
  • the neighboring points are the data points at coordinates (1, 3);
  • the coordinates are (1, 2), then the neighboring points are the data points at coordinates (1, 2); if the coordinates obtained by rounding up are (2, 3), the neighboring points are coordinates (2, 3)
  • the data points at the coordinates calculated by the weighted average method commonly used in mathematics may also be selected using the coordinates of a plurality of adjacent
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • the image data processing method provided by this embodiment includes the following steps:
  • S201 pre-sampling processing, dividing the first bitmap image into a plurality of circles having mutually different radii and overlapping centers, that is, each circle is a concentric circle, and sampling is performed on each circumference.
  • the first bitmap image 1 includes a first circumference C1, a second circumference C2, a third circumference C3, and a fourth circumference C4, and the first circumference C1 is the maximum of the first bitmap image 1.
  • the inscribed circle, the first circumference C1, the second circumference C2, the third circumference C3, and the fourth circumference C4 have the same center but the unequal radii, and are respectively sampled on the circumferences of different radii.
  • N is a fixed value
  • N 2 ⁇ r*P/25.4
  • P is the resolution of the printing target
  • r is the image within the first bitmap image
  • the radius of the largest inscribed circle, the sampling coordinates of the sampling position are ((rn* ⁇ r)*cos(m* ⁇ ), (rn* ⁇ r)*sin(m* ⁇ )), where ⁇ is the same circumference
  • the central angle formed by two adjacent sampling positions, ⁇ r is the distance between two adjacent circumferences.
  • the first bitmap image 1 includes a first circumference C1, a second circumference C2, and a third circumference C3, and the first circumference C1 is the maximum inscribed circle of the first bitmap image 1,
  • the radius is r;
  • the second circumference C2 is a circumference adjacent to the first circumference C1, the distance between the two is ⁇ r;
  • the third circumference C3 is a circumference not adjacent to the first circumference C1 and the second circumference C2, and
  • the distance between the third circumference C3 and the first circumference C1 is n* ⁇ r; sampling on the circumferences of the first circumference C1, the second circumference C2, and the third circumference C3, respectively, on the first circumference C1 and the second circumference C2 N sampling positions are respectively selected for sampling.
  • the first sampling position 501 and the second sampling position 502 are two adjacent sampling positions on the first circumference C1 and the second circumference C2, respectively.
  • the distance between the first sampling position 501 and the third sampling position 501' is two adjacent sampling positions on the first circumference C1, and the central angle formed by the two is ⁇ ;
  • the four sampling positions 501'' are two non-adjacent sampling positions on the same circumference, and the central angle formed by the two (m-1)* ⁇ ;
  • the third sampling position 501' and the fifth sampling position 503 are two non-adjacent sampling positions on different circles on the same radius of the largest inscribed circle, and the distance between the two n* ⁇ r; according to FIG.
  • the sampling coordinates of the first sampling position 501, the third sampling position 501', and the fourth sampling position 501'' on the first circumference C1 are respectively (r*cos2 ⁇ , r*sin2 ⁇ ), (r*cos ⁇ , r*sin ⁇ ), (r*cos(m* ⁇ ), r*sin(m* ⁇ )); second sampling position on the second circumference C2
  • the sampling coordinates of 502 are ((r - ⁇ r) * cos 2 ⁇ , (r - ⁇ r) * sin 2 ⁇ );
  • the sampling coordinates of the fifth sampling position 503 on the third circumference C3 are ((rn * ⁇ r) * cos ⁇ , (rn* ⁇ r)*sin ⁇ ).
  • sampling on the first circumference C1 or other circumference does not necessarily have data points for sampling at corresponding positions in the first bitmap image 1, referring to FIG. 6, in A certain segment of the first circumference C1 has a sixth sampling position 601, a seventh sampling position 602, and an eighth sampling position 603.
  • the first bitmap image 1 only the sixth data point 601' and the eighth data point 603' are present.
  • the sixth sampling position 601 and the eighth sampling position 603 Corresponding to the sixth sampling position 601 and the eighth sampling position 603, and no data point is provided at the seventh sampling position 602. Therefore, sampling is performed around the seventh sampling position 602, preferably sampling the seventh data point 602 closest to the sampling position.
  • the seventh data point 602' at this time is the neighboring point of the seventh sampling position 602.
  • the neighboring point of the seventh sampling position 602 can be obtained by adjusting the sampling coordinates of the seventh sampling position 602 to the coordinates of the adjacent data points, and then performing sampling, and the specific adjustment method of the sampling coordinates may be rounding. , or rounded up or up, can also be weighted, such as algorithms.
  • the data points on the first bitmap image 1 can be sampled only once, thereby making it possible to achieve uniform print resolutions at various positions on a circular print platform,
  • the sampling coordinates mentioned above do not correspond to the data points.
  • One, that is, one data point on the first bitmap image 1 is sampled multiple times.
  • FIG. 7 there is shown a second bitmap image 2 formed by rearrangement, each of which is arranged by sampling points on the corresponding circumference, and the first line L1 in the figure is the largest inscribed circle.
  • Each sampling point d1, d2, ..., dN a total of N sampling points
  • the second row L2 is the sampling points d21, d22, ..., d2N on the adjacent circumference of the largest inscribed circle, a total of N sampling Point, where d23, d24 are sampling points of the repeated sampling position, d23, d24 are overlapped together
  • the mth line Lm is each sampling point dm1, dm2, ..., dmN on the smallest circumference, a total of N Sample points, wherein dm1, dm2, ..., dmN are sampling points of repeated sampling positions, and dm1, dm2, ..., dmN are overlapped.
  • step S202 further includes processing the sampling points of the resampling position.
  • the subsequent sampling points are replaced by blank points, referring to FIG. 8 , which shows the second bitmap image 2 after the sampling point of the resampling position is replaced by the blank point, from the first row L1 to the mth row Lm, each row is composed of N sampling points, and each sampling point is mutually The sampling coordinates between the two are not repeated. For example, the coordinates of the sampling points dm1, dm2, dm, ..., dmN in the mth line Lm are not repeated.
  • Embodiment 2 is a diagrammatic representation of Embodiment 1:
  • the image data processing method provided by this embodiment includes the following steps:
  • S301 pre-sampling processing, dividing the first bitmap image into a plurality of circles having mutually different radii and overlapping centers, and respectively sampling on each circumference;
  • the distance between the circumferences ie, the difference between the radii of two adjacent circumferences
  • ⁇ 360°/N
  • m is an integer, and 0 ⁇ m ⁇ N;
  • the sampling coordinates of the sampling positions do not necessarily have data points for sampling in the corresponding positions in the first bitmap image 1 , and the principle and the specific implementation manner are given in the first embodiment. The embodiments are not described herein.
  • step S302 further includes the process of repeating the coordinate sampling points.
  • the specific implementation manner is given in the first embodiment, and the embodiment is not described herein.
  • sampling points on each circumference is the number of sampling points on the circumference of the inscribed circle, and the insufficient number of rows is compensated by inserting the blank point, and
  • the sampling points of different circumferences are arranged in a row, that is, the sampling points on the same circumference are arranged in a row, and the sampling points located at different circumferences and having the same ⁇ value are arranged in a row, and the sampling points are rearranged to form a second lattice image.
  • the difference between this embodiment and the first embodiment is that, in the embodiment, N is not fixed, and the number N of sampling positions on different circumferences are different from each other, and the ratio of the number of sampling positions on each circumference is different.
  • a second bitmap image 2 is formed by rearranging, and each of the behaviors is arranged on a corresponding circumference.
  • the first row L1 in the figure is the largest inner Sampling points d1, d2, ..., dN on the circle, a total of N data points
  • the second line L2 is the sampling points d21, d22, ..., d2N' on the circumference adjacent to the largest inscribed circle.
  • the second bitmap image 2 formed is an incomplete rectangular lattice
  • the second bitmap image 2 needs to be complemented into a complete rectangular bitmap image.
  • the present application also provides a method for solving the problem that the number of sampling points is insufficient, and compensation is performed by inserting a blank point.
  • the second bitmap image after the insufficient sampling point is compensated by the blank point is shown. 2.
  • each line consists of N sampling points.
  • the manner in which the blank dot is inserted may be a regular insertion or a random insertion.
  • a blank point is added after the sampling point, for example, in the Lm line, N-1 blank points are added after the data point dm1; or a blank point is added before the sampling point, such as the Lm line, before the data point dm1 Fill in N-1 blank points; or set the sampling point and blank point interval, such as a total of eight data in a row, four of which are sampling points, four of which are blank points, and four sampling points are spaced from four blank points.
  • Embodiment 3 is a diagrammatic representation of Embodiment 3
  • the image data processing method provided in this embodiment includes the following steps:
  • S401 pre-sampling processing, dividing the first bitmap image into a plurality of radii, sampling the sampling position on each radius along the radial direction of the largest inscribed circle, and acquiring sampling points, wherein each radius is the first bitmap image
  • the maximum inscribed circle C1 includes a radius first radius R1, a second radius R2, and a third radius R3, which are respectively sampled on the first radius R1, the second radius R2, and the third radius R3.
  • the number of sampling positions of each radius is k, as shown in FIG.
  • the ninth sampling position 1101 and the tenth sampling position 1102 in the figure are adjacent two sampling positions on the first radius R1, both The distance between the two is ⁇ r;
  • the ninth sampling position 1101 and the eleventh sampling position 1101 ′ are two adjacent sampling positions on the first radius R1 and the second radius R2 of different radii, and the central angle formed by the two is ⁇ ;
  • the eleventh sampling position 1101 ′, the twelfth sampling position 1101 ′′ are two non-adjacent sampling positions on the second radius R2 and the third radius R3 of different radii, and the central angle formed by the two is (m) -1) * ⁇ ;
  • the eleventh sampling position 1101 ′, the thirteenth sampling position 1103 is two sampling positions not adjacent to each other on the second radius R2, the distance between the two is n* ⁇ r; according to FIG.
  • the ninth sampling position 1101 and the tenth sampling position 1102 on the first radius R1 are taken.
  • the sample coordinates are (r*cos(2* ⁇ ), r*sin(2* ⁇ )), ((r- ⁇ r)*cos(2* ⁇ ), (r- ⁇ r)*sin(2*) ⁇ ));
  • the sampling coordinates of the eleventh sampling position 1101' and the thirteenth sampling position 1103 on the second radius R2 are (r*cos ⁇ , r*sin ⁇ ), ((rn* ⁇ r)*cos ⁇ , ( Rn * ⁇ r) * sin ⁇ );
  • the sampling coordinates of the twelfth sampling position 1101 ′ on the third radius R3 are (r*cos(m* ⁇ ), r*sin(m* ⁇ )).
  • the first radius R1 has a fourteenth sampling position 1201 and a fifteenth sampling.
  • the position 1202, the sixteenth sampling position 1203, and the seventeenth sampling position 1204 have only the fourteenth data point 1201', the fifteenth data point 1202', and the seventeenth data point 1204' in the first bitmap image.
  • the fourteenth sampling position 1201, the fifteenth sampling position 1202, and the seventeenth sampling position 1204 correspond to each other. There is no data point at the coordinate position of the sixteenth sampling position 1203 for sampling, and sampling is performed around the sixteenth sampling position 1203.
  • the sixteenth data point 1203' or the eighteenth data point 1203' closest to the sixteenth sampling position 1203 may be selected as the data point of the sixteenth sampling position 1203, and the other selection of the data points of the sixteenth sampling position.
  • sampling points on each radius of the largest inscribed circle are arranged in a row, so as to be in a row on different radii, and the sampling positions are equal to each other at the center of the largest inscribed circle.
  • Each sample point is rearranged to form a second bitmap image.
  • sampling point of the repeated coordinates is also encountered in the step S402.
  • the principle and the specific implementation manner are given in the first embodiment, and the embodiment is not described herein.
  • the image of the present application may further include other bitmap images, that is, the image of one slice layer may include a plurality of bitmap images, and each bitmap image is respectively adapted to the image data described in the present application. Approach.
  • Embodiment 4 is a diagrammatic representation of Embodiment 4:
  • the embodiment further provides a printing system, which can be printed using the image data processing method described in any of the above embodiments.
  • the printing system includes a printing device 3 and a data processing device 4, and data.
  • the processing device 4 is configured to divide the first bitmap image into a plurality of regions, select sampling locations in each region for sampling, acquire sampling points, and rearrange the sampling points to form a second bitmap image;
  • the printing device 3 includes a print head 31 and the printing platform 32, the printing platform 32 is rotatable relative to the printhead 31 about an axis perpendicular to the printing surface, as shown in FIG. 2; the printhead 31 is for forming a printed object on the printing platform 32 in accordance with the second bitmap image.

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Abstract

本申请涉及快速成型技术领域，尤其涉及一种用于打印技术的图像数据处理方法以及打印系统。所述图像包括第一点阵图像；所述图像数据处理方法包括：将所述第一点阵图像分割为多个区域，在各所述区域选取采样位置进行采样，获取采样点；将各所述采样点重新排列，形成第二点阵图像。本申请由于第二点阵图像为各区域上的点，可以根据打印方式进行排列，因此，在打印头打印的过程中，第二点阵图像的数据实际是以区域方式排列，从而避免了不同半径的像素点分布不一致的问题，使各区域上的像素点尽可能分布均匀，从而提高打印物体的打印质量。

Description

用于打印技术的图像数据处理方法以及打印系统 技术领域
本申请涉及快速成型技术领域，尤其涉及一种用于打印技术的图像数据处理方法以及打印系统。
背景技术
快速成型技术又称快速原型制造技术或加式制造技术或3D打印技术，其基本原理为基于3D模型切片后逐层加工堆叠形成3D打印物体。
传统以打印头为多喷嘴阵列排布的3D喷墨打印机的移动方式为打印平台相对于打印头沿X、Y轴移动，在完成一个层后移至原点，打印平台相对于打印头下降一个层的高度后，开始新的一层的打印工作，如此循环以形成3D打印物体。
分析传统3D喷墨打印机的移动方式，以打印头100移动为例，参照图1，在X轴方向，需要经过加速、匀速、减速、停止四个阶段，而打印头仅工作在匀速阶段，然后Y轴移动，再X轴加速、匀速、减速、停止，直至完成一个层的打印工作，最终形成打印物体200。
上述传统的3D喷墨打印机的移动方式带来一个很明显的问题，由于在加速、减速、停止过程中，打印头100不工作，造成打印效率低下，因此，如何有效的提高打印效率，是业界人士高度重视的问题。
目前，一种新型的具有圆形的打印平台的3D喷墨打印机出现，与传统3D喷墨打印机的X、Y轴移动方式不同的是，圆形的打印平台相对于打印头不停的旋转，在旋转过程中打印头工作，逐层的堆叠形成3D打印物体。相较于传统3D喷墨打印机，具有圆形的打印平台的打印机的打印方法跳过了加速、减速、停止三个阶段，能够有效提高打印效率。
新型的打印机也由此带来了一系列难题，其中的一个难题为，传统3D喷墨打印机的切片层为一个矩形点阵图像，图像上的像素点分为空白点和有效点，空白点为打印头无需响应工作的数据点，有效点为打印头响应工 作的数据点；根据该矩形点阵图像的像素点对应X、Y轴的位置，打印头移动以进行逐点打印，因此，若依照现有矩形点阵图像在具有圆形的打印平台上进行排列打印，将导致圆形的打印平台上不同半径的像素点分布不一致，距离圆形区域中心点位置越近，其像素点越密集，最终将导致打印物体失真。
发明内容
本申请提供了一种用于打印技术的图像数据处理方法以及打印系统，能够解决上述问题。
本申请的第一方面提供了一种用于打印技术的图像数据处理方法，所述图像包括第一点阵图像；所述图像数据处理方法包括：
将所述第一点阵图像分割为多个区域，在各所述区域选取采样位置进行采样，获取采样点；
将各所述采样点重新排列，形成第二点阵图像，所述第二点阵图像与所述第一点阵图像不同。
优选地，所述将所述第一点阵图像分割为多个区域，在各所述区域选取采样位置进行采样的执行方式为：
将所述第一点阵图像分割为多个圆周，沿各所述圆周的周向，在各所述圆周上选取采样位置进行采样，获取所述采样点。
优选地，各所述圆周中至多一个所述圆周与所述第一点阵图像的最大内切圆重合；其余均位于所述最大内切圆内。
优选地，多个所述圆周为同心圆。
优选地，任意相邻的两个所述圆周的半径之差相等。
优选地，在任意一个所述圆周上，任意相邻的两个所述采样位置所形成的圆心角相等。
优选地，所述在各所述圆周上选取采样位置进行采样，获取采样点的执行方式为：在各所述圆周上选取相同个数的采样位置进行采样，获取相同个数的所述采样点。
优选地，各所述圆周上的所述采样位置的个数为N＝2πr*P/25.4，其中，P为打印目标的分辨率，r为所述第一点阵图像的最大内切圆的半径。
优选地，所述在各所述圆周上选取采样位置进行采样，获取采样点的执行方式为：在各所述圆周上选取不同个数的采样位置进行采样，获取不同个数的所述采样点。
优选地，所述在各所述圆周上选取不同个数的采样位置进行采样，获取不同个数的采样点中，沿所述最大内切圆的径向，在各所述圆周上选取的所述采样位置的个数的变化趋势，与各所述圆周的半径的变化趋势一致。
优选地，所述在各所述圆周上选取不同个数的采样位置进行采样，获取不同个数的采样点中，沿所述最大内切圆的径向，在各所述圆周上选取的所述采样位置的个数与各所述圆周的半径成正比。
优选地，所述各圆周上的采样位置的个数N＝2πr′*P/25.4，其中，P为打印目标的分辨率，r′为每一个所述圆周的半径。
优选地，所述将所述采样点重新排列，形成第二点阵图像具体为：
以同一圆周上的各采样点排成一行，位于不同圆周上、且位于所述第一点阵图像的最大内切圆的同一径向上的采样点排成一列的方式，将各所述采样点重新排列，形成所述第二点阵图像。
优选地，所述以同一圆周上的各采样点排成一行，位于不同圆周上、且位于所述最大内切圆的同一径向上的采样点排成一列的方式，将各所述采样点重新排列，形成所述第二点阵图像具体为：
以同一圆周上的各采样点排成一行，位于不同圆周上、且位于所述最大内切圆的同一径向上的采样点排成一列的方式，将各所述采样点重新排列，形成M*N的第二点阵图像，其中M为行，N为列，M、N均为正整数；
所述方法还包括：
在每一行中采样点的个数不足N个时，补入空白点，使所述空白点的个数与该行中采样点的个数之和等于N，其中，在所述空白点处，打印头不执行打印操作。
优选地，所述在每一行中采样点的个数不足N个时，补入空白点具体采用下述方式之一执行：
在所述采样点之后补入所述空白点；在所述采样点之前补入所述空白点；所述采样点与所述空白点间隔设置。
优选地，
所述将所述第一点阵图像分割为多个区域，在各所述区域选取采样位置进行采样的执行方式为：
将所述第一点阵图像分割为多个半径，沿所述第一点阵图像的最大内切圆的径向在各所述半径上选取采样位置进行采样，获取所述采样点，其中，各所述半径为所述第一点阵图像的最大内切圆的半径。
优选地，所述将各所述采样点重新排列，形成第二点阵图像具体为：
以所述最大内切圆的同一径向上的各采样点排成一列，位于不同所述半径上且采样位置距离所述最大内切圆的圆心相等的的各所述采样点排成一行的方式，形成所述第二点阵图像。
优选地，所述沿所述最大内切圆的径向在各所述圆周上选取采样位置进行采样，获取所述采样点中，在不同半径上选取的采样位置的个数相等。
优选地，同一个所述径向上的采样位置的个数k＝r*P/25.4，其中r为所述最大内切圆的半径，P为打印目标的分辨率。
优选地，
若采样到的数据点为已被采样过的数据点，则所述采样点为空白点，其中，在所述空白点处，打印头不执行打印操作。
优选地，还包括：
若所述采样位置处不存在数据点，则选择所述采样位置所在的所述区域的至少一个邻近点作为所述采样位置的采样点，所述邻近点为位于所述区域的至少一侧的所述数据点。
优选地，所述邻近点为采用下述任一种方式得到的数据点：所述采样位置的坐标采用四舍五入方式后的坐标位置处的数据点、所述采样位置的坐标采用向下或者向上取整后的坐标位置处的数据点、多个所述邻近点所在的位置的坐标通过加权计算得到的坐标位置处的数据点。
优选地，所述第一点阵图像为矩形点阵图像；所述第二点阵图像为各所述区域上均匀分布的点阵图像。
本申请的第二方面提供一种使用上述任一项所述的图像数据处理方法的打印系统，所述图像包括第一点阵图像，所述打印系统包括打印装置和数据处理装置，
所述数据处理装置用于将所述第一点阵图像分割为多个区域，在各所述区域选取采样位置进行采样，获取采样点，并将所述采样点重新排列以形成第二点阵图像；
所述打印装置包括打印头和打印平台，所述打印平台能够绕垂直于打印面的轴线相对于所述打印头旋转；所述打印头用于根据所述第二点阵图像在所述打印平台上形成打印物体。
本申请提供的技术方案可以达到以下有益效果：
本申请所提供的图像数据处理方法，将第一点阵图像分割为多个区域，分别在各区域上选取采样位置进行采样，获取采样点，然后将这些采样点重新排列形成第二点阵图像，由于第二点阵图像为各区域上的点，可以根据打印头的运动方式进行排列，因此，在以多喷嘴阵列排布的打印头圆形打印时，第二点阵图像的数据所形成的像素点在打印结果中实际是以不同区域均匀分布的方式分布，从而避免了不同半径的像素点分布不一致的问题，使打印像素点尽可能分布均匀，从而提高打印物体的打印质量。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性的，并不能限制本申请。
附图说明
图1为背景技术中传统3D喷墨打印机的打印头相对打印平台沿X、Y轴移动的示意图；
图2为新型的具有圆形打印平台的3D打印机的结构示意图；
图3为本申请中第一点阵图像上包括有效点和空白点的数据点的示意图；
图4为实施例一中将第一点阵图像分为多个圆周进行采样的示意图；
图5为实施例一中采样位置的采样坐标示意图；
图6为实施例一中采样坐标与数据点的位置关系示意图；
图7为实施例一中重复采样点未使用空白点代替前的第二点阵图像示意图；
图8为实施例一中重复采样点使用空白点代替后的第二点阵图像示意图。
图9为实施例二中未使用空白点补偿的第二点阵图像示意图；
图10为实施例三中将第一点阵图像分为多个径向方向进行采样的示意图；
图11为实施例三中采样位置的采样坐标示意图；
图12为实施例三中采样坐标与数据点的位置关系示意图；
图13为本申请提供的图像数据处理方法的流程图。
图14为实施例一提供的图像数据处理方法的流程图；
图15为实施例二提供的图像数据处理方法的流程图；
图16为实施例三提供的图像数据处理方法的流程图；
图17为实施例四提供的打印系统的结构示意图。
附图标记：
在图1中：
100-打印头；
200-打印物体；
在图2-17中：
1-第一点阵图像；
C1-第一圆周；
501-第一采样位置；
501＇-第三采样位置；
501＇＇-第四采样位置；
601-第六采样位置；
601＇－第六数据点；
602－第七采样位置；
602＇－第七数据点；
603－第八采样位置；
603＇－第八数据点；
R1－第一半径；
1101-第九采样位置；
1102-第十采样位置；
1201-第十四采样位置；
1202-第十五采样位置；
1203-第十六采样位置；
1204-第十七采样位置；
1201＇-第十四数据点；
1202＇-第十五数据点；
1203＇-第十六数据点；
1203＇＇-第十八数据点；
1204＇-第十七数据点；
R2-第二半径；
1101'-第十一采样位置；
1103-第十三采样位置；
R3-第三半径；
1101”-第十二采样位置；
C2-第二圆周；
502-第二采样位置；
C3-第三圆周；
503-第五采样位置；
C4-第四圆周；
2-第二点阵图像；
3-打印装置；
31-打印头；
32-打印平台；
4-数据处理装置。
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本申请的实施例，并与说明书一起用于解释本申请的原理。
具体实施方式
下面通过具体的实施例并结合附图对本申请做进一步的详细描述。本申请所述的图像，是通过将目标物体转换成数据结构后，切片而成且由数据点组成的图像。
具体地，将目标打印物体转换为数据结构，例如可以通过扫描的方式获取目标物体的信息，接着将目标物体包含的信息转换成能被处理终端的分层切片软件识别的数据格式，如STL格式、PLY格式、WRL格式等。具体地，目标物体包含的信息可以是以层为单位，即目标物体被扫描后经过数据转换，转换成能被处理终端的分层切片软件识别的数据格式，之后通过分层软件进行切片分层，各切片层即为本申请所述图像。
进一步地，所述图像包括第一点阵图像，通过对图像的第一点阵图像解析得到多个数据点，数据点包括空白点和有效点，空白点表示打印头无需响应工作的数据点，有效点表示打印头响应工作的数据点，参照图3，其示出了第一点阵图像的数据点分布情况，图中所示虚框301内的实心点表示有效点，虚框301外的空心点表示空白点。需要说明的是，图3中所示的实心点与空心点仅为对有效点和空白点的举例说明，对本申请后续提到的附图不起任何限定作用。
如图13所示，本申请实施例提供了一种用于打印技术的图像数据处理方法，包括：
S101：将第一点阵图像分割为多个区域，在各区域选取采样位置进行采样，获取采样点；
S102：将各采样点重新排列，形成第二点阵图像。
采用上述图像数据处理方法对图像进行处理，即将第一点阵图像分割为多个区域，分别在各区域选取采样位置进行采样，获取采样点，然后将这些采样点重新排列形成第二点阵图像，由于第二点阵图像为各区域上的点，可以根据打印头的运动方式进行排列，因此，在打印头打印的过程中，第二点阵图像的数据实际是以区域的方式排列，从而避免了不同半径的像素点分布不一致的问题，使各区域上的像素点尽可能分布均匀，从而提高打印物体的打印质量。
一种实施例，上述步骤S101的执行方式为：
将第一点阵图像分割为多个圆周，沿各圆周的周向，在各圆周上选取采样位置进行采样，获取采样点，换句话说，就是上述步骤S101中的区域为圆周。具体地，上述各圆周中，至多一个圆周与第一点阵图像的最大内切圆重合，其余均位于最大内切圆内，如图4中，第一点阵图像1分割 为多个圆周，多个圆周分别为第一圆周C1、第二圆周C2、第三圆周C3、第四圆周C4、…，其中，第一圆周C1为第一点阵图像1的最大内切圆，第二圆周C2、第三圆周C3、第四圆周C4均位于该最大内切圆内。
优选地，上述各圆周为同心圆，即各圆周的圆心重合，半径不相等，如图4中所示的第一圆周C1、第二圆周C2、第三圆周C3、第四圆周C4为同心圆，通过同心圆的设置，能够便于采样位置各坐标值的计算。当然，各圆周也可以圆心不重合。
上述任意相邻的两个圆周的半径之差可以相等或者不等，可选地，上述任意相邻的两个圆周的半径之差相等，以便于各采样位置的坐标的计算。
为了进一步便于采样位置的坐标计算，在任意一个圆周上，任意相邻的两个采样位置所形成的圆心角相等。
其中，上述步骤S101可以采用下述几种方式执行：
第一种采样方式：在各圆周上选取相同个数的采样位置进行采样，获取相同个数的采样点，也就是说，在每一个圆周上的采样位置的个数相同。可以各圆周上的采样位置的个数N＝2πr*P/25.4。
此时，各采样位置的坐标为((r-n*△r)*cos(m*θ)，(r-n*△r)*sin(m*θ))，其中，P为打印目标的分辨率，r为最大内切圆的半径，θ为同一个圆周上相邻两个采样位置形成的圆心角，在任意一个圆周上任意相邻的两个采样位置所形成的圆心角相等时，θ＝360°/N；△r为相邻的两个圆周之间的距离，在任意相邻的两个圆周的半径之差相等时，△r＝25.4/P，m、n为整数，且0≤m≤N，0≤n≤r*P/25.4。
其中，在各圆周上选取相同个数的采样位置进行采样，获取相同个数的采样点时，由于越靠近圆心，采样位置越密集，甚至可能多个采样点重合，为了避免上述情况，在各圆周上选取相同个数的采样位置进行采样，获取相同个数的采样点过程中包括：
若采样到的数据点为已被采样过的数据点，则采样点为空白点，其中，在空白点处，打印头不执行打印操作。
通过这种方式，能够避免同一数据点重复采样。
第二种采样方式：在各圆周上选取不同个数的采样位置进行采样，获取不同个数的采样点，即每一个圆周上的采样位置和采样点的个数不相同。
具体地，沿最大内切圆的径向，在各圆周上选取的采样位置的个数的变化趋势，与各圆周的半径的变化趋势一致，即沿着有最大内切圆的圆周指向圆心的方向，各圆周的半径减小，在相应的圆周上选取的采样位置的个数也减小，这样在对靠近圆心的周周上采样时，能够避免过多的采样点造成数据点重合。
更进一步的，沿最大内切圆的径向，在各圆周上选取的采样位置的个数与各圆周的半径成正比，具体地，可以每一个圆周上选取的采样位置的个数N＝2πr＇*P/25.4，此时，各采样位置的坐标为((r＇-n*△r)*cos(m*θ)，(r＇-n*△r)*sin(m*θ))，其中，P为打印目标的分辨率，r＇为每一个圆周对应的圆周的半径，θ为同一个圆周上相邻两个采样位置形成的圆心角，在任意一个圆周上任意相邻的两个采样位置所形成的圆心角相等时，θ＝360°/N；△r为相邻的两个圆周之间的距离，在任意相邻的两个圆周的半径之差相等时，△r＝25.4/P，m、n为整数，且0≤m≤N，0≤n≤r*P/25.4。
在上述采样方式中，步骤S102中第二点阵图像的排列方式可以为：
S1021：以同一圆周上的各采样点排成一行，位于不同圆周上、且位于最大内切圆的同一径向上的采样点排成一列的方式，将各采样点重新排列，形成第二点阵图像，在任意一个圆周的相邻两个采样点所形成的圆心角相等时，每一个圆周的各采样点排成一行，不同圆周上、相同角度的采样点排成一列，从而形成第二点阵图像。
进一步地，步骤S1021可以具体:为：
以同一圆周上的各采样点排成一行，位于不同圆周上、且位于最大内切圆的同一径向上的采样点排成一列的方式，将各采样点重新排列，形成M*N的第二点阵图像，其中M为行，N为列，M、N均为正整数；
上述方法还包括：
在每一行中采样点的个数不足N个时，补入空白点，使空白点的个数与该行中采样点的个数之和等于N，其中，在空白点处，打印头不执行打印操作。
具体地，补入空白点可以采用下述方式之一执行：
在采样点之后补入空白点；在采样点之前补入空白点；采样点与空白点间隔设置。
另一实施例，上述步骤S101具体地执行方式为：将第一点阵图像分割为多个半径，沿最大内切圆的径向在各半径上选取采样位置进行采样，获取采样点，其中，各半径为第一点阵图像的最大内切圆的半径，即步骤S101的区域选为第一点阵图像最大内切圆的半径，分别对各半径进行采样。
其中，选取的采样位置中，在不同半径上选取的采样位置的个数可以相等或者不相等，优选在不同半径上选取的采样位置的个数相等，可以在一个半径上的采样位置的个数k＝r*P/25.4，其中r为最大内切圆的半径，P为打印目标的分辨率。
在同一半径上，任意相邻的两个采样位置之间的距离可以相等或者不相等。位于任意相邻两个半径上的两个采样位置形成的圆心角可以相等或者不相等。此时，采样位置的坐标为((r-n*△r)*cos(m*θ)，(r-n*△r)*sin(m*θ))，其中，P为打印目标的分辨率，r为最大内切圆的半径，θ为位于相邻两个半径上且采样位置距离最大内切圆的圆心相等的两个采样位置形成的圆心角，在位于任意相邻两个半径上的两个采样位置形成的圆心角相等时，θ＝360°/N，△r为同一半径上相邻的两个采样位置之间的距离，在同一半径上任意相邻的两个采样位置之间的距离相等时，△r＝25.4/P，m、n为整数，且0≤m≤N，0≤n≤k。
相应的，在该种采样方式，以最大内切圆的同一径向上的各采样点排成一列，位于不同半径上且采样位置距离最大内切圆的圆心相等的各采样点排成一行的方式，形成第二点阵图像。
不论采用哪种方式进行采样和形成第二点阵图像，在某些采样位置处可能不存在对应的数据点，此时，图像数据处理方法，还包括：
若采样位置处不存在数据点，则选择采样位置所在的区域的至少一个邻近点作为采样位置的采样点，其中，邻近点为位于上述区域的至少一侧的数据点。
具体地，邻近点可以为采样点所在区域附近的数据点中，距离采样位置最近的一个数据点，或者邻近点为采用下述任一种方式得到的数据点：采样位置的坐标采用四舍五入方式后的坐标位置处的数据点、采样位置的坐标采用向下或者向上取整后的坐标位置处的数据点、多个邻近点所在的位置的坐标通过加权计算得到的坐标位置处的数据点，例如采样位置的坐 标为(1.3，2.6)时，若采用四舍五入方式后的坐标为(1,3)，则邻近点为坐标(1,3)处的数据点；若采取向下取整的方式得到的坐标为(1,2)，则邻近点为坐标(1,2)处的数据点；若采取向上取整的方式得到的坐标为(2,3)，则邻近点为坐标(2,3)处的数据点，也可以选用采样点附近的多个邻近点的坐标采用数学中常用的加权平均法计算得到的坐标处的数据点。
下面，本申请将进一步以不同实施例对上述方法进行阐述。
实施例一：
作为本申请的具体实施例，参照图14，本实施例提供的图像数据处理方法包括步骤：
S201、采样前处理，将第一点阵图像分为多个半径互不相等、圆心重合的圆周，即各圆周为同心圆，在各圆周上分别进行采样。
具体地，参照图4，其中，第一点阵图像1中包括第一圆周C1、第二圆周C2、第三圆周C3、第四圆周C4，第一圆周C1为第一点阵图像1的最大内切圆，第一圆周C1、第二圆周C2、第三圆周C3、第四圆周C4的圆心相同但半径不相等，分别在不同半径的圆周上进行采样。
S202、采样处理，在每一个圆周上的采样位置的个数为N，N为固定值，N＝2πr*P/25.4，其中，P为打印目标的分辨率，r为第一点阵图像内最大内切圆的半径，采样位置的采样坐标为((r-n*△r)*cos(m*θ)，(r-n*△r)*sin(m*θ))，其中，θ为同一个圆周上相邻两个采样位置形成的圆心角，△r为相邻两个圆周之间的距离，在任意一个圆周上，任意相邻的两个采样位置形成的圆心角相等，且任意相邻的两个圆周的半径之差相等时，θ、△r均为固定值，θ＝360°/N，△r＝25.4/P，m、n为整数，且0≤m≤N，0≤n≤r*P/25.4。
具体地，参照图5，其中，第一点阵图像1中包括第一圆周C1、第二圆周C2、第三圆周C3，第一圆周C1为第一点阵图像1的最大内切圆，其半径为r；第二圆周C2为与第一圆周C1相邻的圆周，两者的距离为△r；第三圆周C3为与第一圆周C1、第二圆周C2均不相邻的圆周，且第三圆周C3与第一圆周C1的距离为n*△r；分别在第一圆周C1、第二圆周C2、第三圆周C3的圆周上采样，在第一圆周C1、第二圆周C2上均分别选取 N个采样位置进行采样，选取的采样位置中，第一采样位置501、第二采样位置502分别为第一圆周C1、第二圆周C2上的两个相邻的采样位置，两者之间的距离为△r；第一采样位置501、第三采样位置501＇为第一圆周C1上的两个相邻采样位置，两者形成的圆心角为θ；第三采样位置501＇、第四采样位置501＇＇为同一个圆周上的两个不相邻的采样位置，两者形成的圆心角为(m-1)*θ；第三采样位置501＇、第五采样位置503为位于不同圆周上、位于最大内切圆的同一半径上的两个不相邻采样位置，两者之间的距离为n*△r；根据图5，以圆心和X轴作为参考位置，第一圆周C1上的第一采样位置501、第三采样位置501＇、第四采样位置501＇＇的采样坐标分别为(r*cos2θ，r*sin2θ)、(r*cosθ，r*sinθ)、(r*cos(m*θ)，r*sin(m*θ))；第二圆周C2上的第二采样位置502的采样坐标为((r-△r)*cos2θ，(r-△r)*sin2θ)；第三圆周C3上的第五采样位置503的采样坐标为((r-n*△r)*cosθ，(r-n*△r)*sinθ)。
进一步地，参照图4,，在第一圆周C1或其他圆周上采样，其采样位置坐标在第一点阵图像1中对应的位置上并不一定存在数据点以供采样，参照图6，在第一圆周C1的某一段上具有第六采样位置601、第七采样位置602、第八采样位置603，在第一点阵图像1中仅有第六数据点601＇、第八数据点603＇对应第六采样位置601、第八采样位置603，而在第七采样位置602处无数据点提供，因此，在第七采样位置602周围进行采样，优选采样距离采样位置最近的第七数据点602＇作为第七采样位置602的数据点，此时的第七数据点602＇即为第七采样位置602的邻近点。
或者，第七采样位置602的邻近点可以采用下述算法得到：将第七采样位置602的采样坐标调整至邻近的数据点的坐标，然后再进行采样，采样坐标的具体调整方法可以是四舍五入法，或者是向下或向上取整，也可以加权计算得到，诸如此类算法。
S203、采样后处理，以每一个圆周上的采样点为行，以位于不同圆周、且θ相同的采样点为列，即，以在同一个圆周上的各采样点排成一行，位于不同圆周、且θ相同的采样点排成一列，对各采样点进行重新排列，形成第二点阵图像。
更为具体地，理论上，第一点阵图像1上的数据点可且仅可被采样一 次，由此才可能达到在圆形的打印平台上各个位置的打印分辨率一致的目的，而由于上述的采样坐标与数据点不对应，越靠近圆心可供取样的数据点越少，并且每一个不同半径的圆周上的采样点的个数均为N，结果将会有多个采样点为同一个，即第一点阵图像1上的一个数据点被多次采样。
为了形象表示上述情况，参照图7，其示出了重新排列形成的第二点阵图像2，每一行为相应圆周上的采样点排列而成，图中第一行L1为最大内切圆上的各采样点d1、d2、……、dN，共N个采样点；第二行L2为最大内切圆的相邻圆周上的各采样点d21、d22、……、d2N，共N个采样点，其中，d23、d24为重复采样位置的采样点，d23、d24重叠在一起；以此类推，第m行Lm为最小圆周上的各采样点dm1、dm2、……、dmN，共N个采样点，其中，dm1、dm2、……、dmN均为重复采样位置的采样点，dm1、dm2、……、dmN重叠在一起。
因此，步骤S202中还包括对重复采样位置的采样点的处理，当第一点阵图像1上的一个数据点被采样后，后续被重复采样时，后续的采样点使用空白点代替，参照图8，其示出了重复采样位置的采样点被空白点代替后的第二点阵图像2，从第一行L1至第m行Lm，每一行均由N个采样点组成，且每个采样点相互之间的采样坐标均不重复，例如第m行Lm中的采样点dm1、dm2、dm、……、dmN的坐标均不重复。
实施例二：
作为本申请的另一个具体实施例，参照图15，本实施例提供的图像数据处理方法包括步骤：
S301、采样前处理，将第一点阵图像分为多个半径互不相等、圆心重合的圆周，在各圆周上分别进行采样；
S302、采样处理，在每一个圆周上的采样位置的个数N＝2πr＇*P/25.4，其中，P为打印目标的分辨率，r＇为每一个圆周对应的圆的半径，相邻两个圆周之间的距离(即相邻的两个圆周的半径之差)为△r，在任意相邻的两个圆周的半径之差相等时，△r＝25.4/P，采样位置的采样坐标为(r＇*cos(m*θ)，r＇*sin(m*θ))，其中，θ为同一个圆周上相邻的两个采样位置形成的圆心角，在任意一个圆周上，任意相邻的两个采样位置形成的圆 心角相等时，θ＝360°/N，m为整数，且0≤m≤N；
具体地，参照图6，各采样位置的采样坐标在第一点阵图像1中对应的位置上并不一定存在数据点以供采样，其原理及具体实现方式实施例一中已给出，本实施例在此不予赘述。
具体地，步骤S302还包括重复坐标采样点的处理，具体实现方式实施例一中已给出，本实施例在此不予赘述。
S303、采样后处理，以每一个圆周上的采样点为行，每一行的采样点的个数为内切圆的圆周上的采样点的个数，个数不足的行通过插入空白点补偿，并以不同圆周的采样点为列，即，同一圆周上的采样点排成一行，位于不同圆周且θ值相同的采样点排成一列，对各采样点重新排列，形成第二点阵图像。
具体地，本实施例与实施例一的区别在于，本实施例中N为非定值的，不同圆周上的采样位置的个数N互不相同，各圆周上的采样位置的个数之比等于其所在的圆周的半径之比，参照图9，示出了重新排列形成的第二点阵图像2，每一行为相应圆周上的采样点排列而成，图中第一行L1为最大内切圆上的采样点d1、d2、……、dN，共N个数据点，第二行L2为与最大内切圆相邻的圆周上的采样点d21、d22、……、d2N＇，共N＇个数据点，以此类推，第m行Lm为最小圆周上的采样点dm1，共1个数据点，如图9所示，形成的第二点阵图像2为不完整的矩形点阵图像，需要将第二点阵图像2补全为完整的矩形点阵图像。
因此，本申请还提供了一种解决上述采样点的个数不足的方法，通过插入空白点的方式进行补偿，参照图8，其示出了不足的采样点被空白点补偿后的第二点阵图像2，从第一行L1至第m行Lm，每一行均由N个采样点组成。具体地，空白点插入的方式可以是规律性插入，也可以是随机性插入。可选地，在采样点之后补入空白点，如在第Lm行中，数据点dm1之后补入N-1个空白点；或者在采样点之前补入空白点，如第Lm行，在数据点dm1之前补入N-1个空白点；或者采样点与空白点间隔设置，如一行共八个数据，其中四个为采样点，其中四个为空白点，且四个采样点与四个空白点间隔设置。
实施例三：
作为本申请的另一个具体实施例，参照图16，本实施例提供的图像数据处理方法包括步骤：
S401、采样前处理，将第一点阵图像分割为多个半径，沿最大内切圆的径向在各半径上选取采样位置进行采样，获取采样点，其中，各半径为第一点阵图像的最大内切圆的半径。可以选取在最大内切圆的圆周上的采样位置的个数为N，N为固定值，N＝2πr*P/25.4，其中，r为内切圆的半径，P为打印目标分辨率；
S402、采样处理，沿内切圆的径向采样，每一个不同半径上选取的采样位置的个数为k，在各半径上的采样位置的个数相同时，k为固定值，k＝r*P/25.4，采样位置的采样坐标为((r-n*△r)*cos(m*θ)，(r-n*△r)*sin(m*θ))，其中，θ为位于相邻的两个半径上，且距离最大内切圆的圆心的距离相等的两个采样位置形成的圆心角，△r为同一径向上，相邻的两个采样位置之间的距离，在任意一个半径上，任意相邻的两个采样位置的距离相等、且任意相邻的两个采样位置形成的圆心角相等时，θ、△r均为固定值，θ＝360°/N，△r＝25.4/P，m、n为整数，且0≤m≤N，0≤n≤k；
具体地，参照图10-11，其中最大内切圆C1包括半径第一半径R1、第二半径R2、第三半径R3，分别在第一半径R1、第二半径R2、第三半径R3上采样，每个半径的采样位置的个数均为k，如图11所示，图中第九采样位置1101、第十采样位置1102为第一半径R1上的相邻的两个采样位置，两者之间的距离为△r；第九采样位置1101、第十一采样位置1101＇为不同半径第一半径R1、第二半径R2上的相邻的两个采样位置，两者形成的圆心角为θ；第十一采样位置1101＇、第十二采样位置1101＇＇为不同半径第二半径R2、第三半径R3上的不相邻的两个采样位置，两者形成的圆心角为(m-1)*θ；第十一采样位置1101'、第十三采样位置1103为第二半径R2上不相邻的两个采样位置，两者之间的距离为n*△r；根据图11，以圆心和X轴作为参考位置，第一半径R1上的第九采样位置1101、第十采样位置1102的采样坐标分别为(r*cos(2*θ)，r*sin(2*θ))、((r-△r)*cos(2*θ)，(r-△r)*sin(2*θ))；第二半径R2上的第十一采样位置1101＇、第十三采样位置1103的采样坐标分别为(r*cosθ，r*sinθ)、((r-n*△r)*cosθ， (r-n*△r)*sinθ)；第三半径R3上的第十二采样位置1101＇＇的采样坐标为(r*cos(m*θ)，r*sin(m*θ))。
具体地，采样位置的坐标在第一点阵图像中对应的位置上并不一定存在数据点以供采样时，参照图12，第一半径R1上具有第十四采样位置1201、第十五采样位置1202、第十六采样位置1203、第十七采样位置1204，在第一点阵图像中仅有第十四数据点1201'、第十五数据点1202'、第十七数据点1204＇与第十四采样位置1201、第十五采样位置1202、第十七采样位置1204对应，第十六采样位置1203的坐标位置处不存在数据点以供采样，在第十六采样位置1203的周围采样，可以选取距离第十六采样位置1203坐标最近的第十六数据点1203＇或第十八数据点1203＇作为第十六采样位置1203的数据点，第十六采样位置的数据点的其它选取方式在实施例一中已给出，本实施例在此不予赘述。
S403、采样后处理，以最大内切圆的每一个半径上的采样点排成一列，以位于不同半径上，且采样位置距离最大内切圆的圆心相等的各采样点排成一行的方式，对各采样点进行重新排列，形成第二点阵图像。
更为具体的，步骤S402同样也会遇到重复坐标的采样点，其原理及具体实现方式在实施例一中已给出，本实施例在此不予赘述。
作为本申请的一种变化，本申请所述图像还可以包括其他点阵图像，即，一个切片层的图像可以包括多个点阵图像，每个点阵图像分别适用本申请所述的图像数据处理方法。
实施例四：
此外，本实施例还提供了一种打印系统，该系统可以使用上述任一实施例所述的图像数据处理方法进行打印，参照图17，该打印系统包括打印装置3和数据处理装置4，数据处理装置4用于将第一点阵图像分割为多个区域，在各区域选取采样位置进行采样，获取采样点，并将采样点重新排列以形成第二点阵图像；打印装置3包括打印头31和打印平台32，打印平台32能够绕垂直于打印面的轴线相对于打印头31旋转，如图2所示；打印头31用于根据第二点阵图像在打印平台32上形成打印物体。
以上所述仅为本申请的优选实施例而已，并不用于限制本申请，对于本领域的技术人员来说，本申请可以有各种更改和变化。凡在本申请的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本申请的保护范围之内。

Claims (24)

  1. 一种用于打印技术的图像数据处理方法，其特征在于，所述图像包括第一点阵图像；所述图像数据处理方法包括：
    将所述第一点阵图像分割为多个区域，在各所述区域选取采样位置进行采样，获取采样点；
    将各所述采样点重新排列，形成第二点阵图像，所述第二点阵图像与第一点阵图像不同。
  2. 根据权利要求1所述的图像数据处理方法，其特征在于，所述将所述第一点阵图像分割为多个区域，在各所述区域选取采样位置进行采样的执行方式为：
    将所述第一点阵图像分割为多个圆周，沿各所述圆周的周向，在各所述圆周上选取采样位置进行采样，获取所述采样点。
  3. 根据权利要求2所述的图像数据处理方法，其特征在于，各所述圆周中至多一个所述圆周与所述第一点阵图像的最大内切圆重合；其余均位于所述最大内切圆内。
  4. 根据权利要求3所述的图像数据处理方法，其特征在于，多个所述圆周为同心圆。
  5. 根据权利要求4所述的图像数据处理方法，其特征在于，任意相邻的两个所述圆周的半径之差相等。
  6. 根据权利要求2所述的图像数据处理方法，其特征在于，在任意一个所述圆周上，任意相邻的两个所述采样位置所形成的圆心角相等。
  7. 根据权利要求2-6任一项所述的图像数据处理方法，其特征在于，所述在各所述圆周上选取采样位置进行采样，获取采样点的执行方式为：在各所述圆周上选取相同个数的采样位置进行采样，获取相同个数的所述采样点。
  8. 根据权利要求7所述的图像数据处理方法，其特征在于，各所述圆周上的所述采样位置的个数N＝2πr*P/25.4，其中，P为打印目标的分辨率，r为所述第一点阵图像的最大内切圆的半径。
  9. 根据权利要求2-6任一项所述的图像数据处理方法，其特征在于， 所述在各所述圆周上选取采样位置进行采样，获取采样点的执行方式为：在各所述圆周上选取不同个数的采样位置进行采样，获取不同个数的所述采样点。
  10. 根据权利要求9所述的图像数据处理方法，其特征在于，所述在各所述圆周上选取不同个数的采样位置进行采样，获取不同个数的采样点中，沿所述第一点阵图像的最大内切圆的径向，在各所述圆周上选取的所述采样位置的个数的变化趋势，与各所述圆周的半径的变化趋势一致。
  11. 根据权利要求10所述的图像数据处理方法，其特征在于，所述在各所述圆周上选取不同个数的采样位置进行采样，获取不同个数的采样点中，沿所述最大内切圆的径向，在各所述圆周上选取的所述采样位置的个数与各所述圆周的半径成正比。
  12. 根据权利要求11所述的图像数据处理方法，其特征在于，各所述圆周上的采样位置的个数N＝2πr′*P/25.4，其中，P为打印目标的分辨率，r′为每一个所述圆周的半径。
  13. 根据权利要求2-6任一项所述的图像数据处理方法，其特征在于，所述将所述采样点重新排列，形成第二点阵图像具体为：
    以同一圆周上的各采样点排成一行，位于不同圆周上、且位于所述第一点阵图像的最大内切圆的同一径向上的采样点排成一列的方式，将各所述采样点重新排列，形成所述第二点阵图像。
  14. 根据权利要求13所述的图像数据处理方法，其特征在于，所述以同一圆周上的各采样点排成一行，位于不同圆周上、且位于所述最大内切圆的同一径向上的采样点排成一列的方式，将各所述采样点重新排列，形成所述第二点阵图像具体为：
    以同一圆周上的各采样点排成一行，位于不同圆周上、且位于所述最大内切圆的同一径向上的采样点排成一列的方式，将各所述采样点重新排列，形成M*N的第二点阵图像，其中M为行，N为列，M、N均为正整数；
    所述方法还包括：
    在每一行中采样点的个数不足N个时，补入空白点，使所述空白点的个数与该行中采样点的个数之和等于N，其中，在所述空白点处，打印头 不执行打印操作。
  15. 根据权利要求14所述的图像数据处理方法，其特征在于，所述在每一行中采样点的个数不足N个时，补入空白点具体采用下述方式之一执行：
    在所述采样点之后补入所述空白点；在所述采样点之前补入所述空白点；所述采样点与所述空白点间隔设置。
  16. 根据权利要求1所述的图像数据处理方法，其特征在于，所述将所述第一点阵图像分割为多个区域，在各所述区域选取采样位置进行采样的执行方式为：
    将所述第一点阵图像分割为多个半径，沿所述第一点阵图像的最大内切圆的径向在各所述半径上选取采样位置进行采样，获取所述采样点，其中，各所述半径为所述第一点阵图像的最大内切圆的半径。
  17. 根据权利要求16所述的图像数据处理方法，其特征在于，所述将各所述采样点重新排列，形成第二点阵图像具体为：
    以所述最大内切圆的同一径向上的各采样点排成一列，位于不同所述半径上且采样位置距离所述最大内切圆的圆心相等的各所述采样点排成一行的方式，形成所述第二点阵图像。
  18. 根据权利要求16所述的图像数据处理方法，其特征在于，所述沿所述最大内切圆的径向在各所述半径上选取采样位置进行采样，获取所述采样点中，在不同半径上选取的采样位置的个数相等。
  19. 根据权利要求18所述的图像数据处理方法，其特征在于，同一个所述半径上的采样位置的个数k＝r*P/25.4，其中r为所述最大内切圆的半径，P为打印目标的分辨率。
  20. 根据权利要求7或18所述的图像数据处理方法，其特征在于，若采样到的数据点为已被采样过的数据点，则所述采样点为空白点，其中，在所述空白点处，打印头不执行打印操作。
  21. 根据权利要求1-6、16-19任一项所述的图像数据处理方法，其特征在于，还包括：
    若所述采样位置处不存在数据点，则选择所述采样位置所在的所述区域的至少一个邻近点作为所述采样位置的采样点，所述邻近点为位于所述 区域的至少一侧的所述数据点。
  22. 根据权利要求21所述的图像数据处理方法，其特征在于，所述邻近点为采用下述任一种方式得到的数据点：所述采样位置的坐标采用四舍五入方式后的坐标位置处的数据点、所述采样位置的坐标采用向下或者向上取整后的坐标位置处的数据点、多个所述邻近点所在的位置的坐标通过加权计算得到的坐标位置处的数据点。
  23. 根据权利要求1所述的图像数据处理方法，其特征在于，所述第一点阵图像为矩形点阵图像；所述第二点阵图像为各所述区域上均匀分布的点阵图像。
  24. 一种使用权利要求1-23任一项所述的图像数据处理方法的打印系统，其特征在于，所述图像包括第一点阵图像，所述打印系统包括打印装置和数据处理装置，
    所述数据处理装置用于将所述第一点阵图像分割为多个区域，在各所述区域选取采样位置进行采样，获取采样点，并将所述采样点重新排列以形成第二点阵图像；
    所述打印装置包括打印头和打印平台，所述打印平台能够绕垂直于打印面的轴线相对于所述打印头旋转；所述打印头用于根据所述第二点阵图像在所述打印平台上形成打印物体。
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