JPH06223175A - Method and apparatus for scanning and processing of image pattern - Google Patents

Abstract

PURPOSE: To correct distortion due to scanning without using any expensive scanning device by providing plural indexes for defining known reference poinst on a plane member, overlapping the face of a picture pattern with the faces of the plural indexes on the same face, and correcting the distortion according the distortion of the reference point. CONSTITUTION: An interposing sheet 30 is constituted of two plane sheets 40 and 42, and plural indexes 46 are arrayed along the surface of the plane sheet 42. The picture of a pattern piece P and the indexes 46 are scanned by a scanner 12 in a state in which the pattern P is inserted into the interposing sheet 30, and the data from the scanner are supplied to a data processor. In the data processor, raster data are converted into vector data. Then, the vector data are processed for each closed pattern detected in the data from the scanner so that the circular indexes 46 can be identified in the data from the scanner 12, and discriminated from the other data for defining the outline of the pattern piece P.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image pattern scanning method and apparatus for scanning an image and generating image data that faithfully reproduces the scanned image.

[0002]

BACKGROUND OF THE INVENTION Devices for scanning an image and converting the scanned image into data that can subsequently be processed by a computer are well known in the art. Also, many uses of such devices are known. For example, one of the uses thereof is as follows.
Pattern pieces that define the contours of a piece of fabric that makes up a shirt, dress, trousers, or other garment are made by a garment designer as life-size pattern pieces. The pattern pieces are typically cut from cardboard, heavy paper, or lightweight cardboard, and the contour data for cutting and sewing the pattern pieces are digitally scanned by a scanning device for subsequent manufacturing operations. Converted to data. The first manufacturing operation is usually marker making, in which sheet-like blanks are overlaid in order to cut out pattern pieces in an overlapping manner. US Patent 3,596,068
And 3,803,960 disclose such a marker making device.

In the next manufacturing operation, the pattern pieces are actually cut from the superposed sheet-like materials by an automatic and numerically controlled cutting machine. One such cutting machine is disclosed in US Pat. No. 3,495,492. In the above marker making device and automatic cutting machine,
The contours of the pattern pieces are used in machine-readable form, especially in the form of digital data, for processing and reproduction as visible image pattern pieces or as cut pattern pieces themselves. The digital data representing the pattern piece must therefore faithfully reproduce the contours of the original pattern piece made by the garment designer.

The conversion of this visible image into digital data is required in many fields other than the garment industry. In each field, it is essential to faithfully reproduce the contours of the visible image, otherwise the data produced will be useless or the data will be subject to manufacturing errors,
This can cause various manufacturing challenges, poor quality, or other undesirable results.

As mentioned above, it is well known to convert a visible image into a machine readable form, in particular digital data, and this conversion is done especially using a scanner. The transformed image is typically created by visible or other detectable indicia on the paper, or defined by the contours or edges of the pattern pieces. A typical scanner will rasterize the image.
A CCD camera that can scan by a scanning method and can detect the contour of an image converted into digital data is adopted.

However, scanners often introduce distortion into the digital data. Therefore, the reproduction of the image from the digital data does not exactly match the original scanned image. Such an error is, for example, an optical distortion in a camera and an image projection device, a mechanical error related to a movement of a sheet-shaped member on which an image is drawn during scanning or a camera, and an error related to electrical signal processing. Arises from The apparent error in the scanned data or the image produced from that data may be such that portions of the image are stretched, bloated, distorted, contracted, or misaligned relative to other portions. The feature is that they are shifted. Therefore, such errors cause dimensional differences between the original image and the image reproduced from the data produced by the scanner.

A sophisticated scanner that produces accurate image data is costly. The high cost of such a device is
This is due to the expensive optics and precision drive mechanism required to minimize optical and mechanical errors that occur during scanning.

One way to solve the problems associated with such a scanner is "Digital Image Processing, 2nd Edition" (1987).
Year, Addison-Wesley Publishing Company
Publishing Company), author RC Sea Gonzalez). In Chapter 5 of this book entitled Image Restoration,
The mesh mark made up of multiple small metal square members embedded directly on the surface of the imaging tube
Tie points that can associate the distorted image after scanning with the original image by a series of equations or transformations
It is described that it is used as. In fact
The transformation allows points in one coordinate system that are distorted by the scanning process to be spatially mapped to another, or undistorted coordinate grid system. Spatial mapping is possible because the location of the mesh marks embedded in the image tube of the camera is known exactly and the image of the mesh marks in the scanner data accurately determines the magnitude and position of the distortion. Is. Although this approach allows for the correction of distorted data, it was essential that the scanning device be made specifically with a mesh mark.
Also, mesh marks can appear in the scanner data and interfere with important features of the scanned image.

[0009]

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and generates image data corrected for distortion caused by scanning, which overcomes these problems and does not require an expensive scanning device. It is an object of the present invention to provide a scanning processing method and apparatus for

[0010]

SUMMARY OF THE INVENTION The present invention is directed to an apparatus for scanning an image pattern and producing image data in which distortions resulting from this scanning have been corrected.

The apparatus used in the method of the present invention comprises a planar member having a plurality of precisely positioned indicia, said indicia being disposed on said planar member and also known in a coordinate grid. Define the reference point of.

The image scanning means scans the image on the image pattern and produces image data which may be distorted by optical or mechanical errors of the image scanning means itself.

The plane member provided with the image pattern and the plurality of indexes is superposed so that the surface of the image and the surface of the index are located on the same plane. For example, the planar member can be configured as one planar member that forms a sandwich sheet into which the image pattern can be inserted. One of the plurality of planar members forming the sandwich sheet is an image of the image pattern in the sandwich sheet and the sandwich sheet when the sandwich sheet having the image pattern is positioned in the scanning means during scanning. Composed of transparent material, so that the indicator of is visible.

The processing means is connected to the scanning means for correcting the distorted image data. The processing means detects data defining an image and a plurality of indices and converts uncorrected image data into corrected data.
The transformation used in this correction process is performed according to the uncorrected data defining the indices and the known positions of the indices in the planar member.

The invention also relates to a method of scanning an image pattern and producing image data corresponding to said image pattern, corrected for the distortion resulting from this scanning. In this method, a planar member is provided with a plurality of indicia defining known reference points on the planar member. This reference point defines, for example, a coordinate grid. The plane member and the image pattern are superposed so that the surface of the image pattern and the surfaces of the plurality of indices are located on the same plane. The superimposed planar member and image pattern are then scanned to produce data representing an image and indicia that has not been corrected for distortions that occur during scanning. The uncorrected data is then processed to produce corrected data depending on the distortion of known reference points in the data.

The present invention is very effective for many reasons. For example, in accordance with the present invention, a scan can be performed without the use of a scanner specifically designed to adjust the output data for distortion, and the scan can provide dimensionally accurate data. . In other words, accurate data can be obtained using an old scanner. Furthermore, when the respective surfaces of the digitized plurality of known defining reference points and the image of the image pattern are located on the same plane before scanning, the contour in the image is You can make sure it is not blocked. This method ensures that the resulting data is not only dimensionally accurate, but also defines all features of the scanned image.

[0017]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT FIG. 1 shows a large image scanner 12.
1 illustrates an image scanning device 10 including the. The image scanner 12 sends a pattern sheet (image pattern) having an image to the apparatus, sequentially scans the images drawn on the image pattern sheet, and generates digital data corresponding to the image. This digital data is the data processor 14 which is a conventional PC computer.
Is supplied to. The image scanner 12 is intended to synchronize, normalize, and, in some cases, compress the above data without correcting distortion caused by mechanical, electrical, or optical causes that may occur during scanning. It is possible to use a conventional type of scanner that performs the initial processing of the digitized data described above. This type of scanner is available from Vidar Systems Corporation in Herndon, Virginia, USA.
ation of Herndon, Virginia).

As shown in FIGS. 1 and 2, the scanner 12 is supported by a pair of columns 20 and 22 extending in the vertical direction, and a housing 24 is provided between the columns 20 and 22. The housing 24 has assemblies 26 and 28 each consisting of a scanning camera and a lens on the left and right sides in FIG. These assemblies 26,
The 28 scan cameras capture the entire image of the image pattern sheet scanned through a laterally elongated slot (not shown) formed in the top of the housing 24. As shown in FIG. 2, the field of view (imaging range) 26a of the scanning camera of the assembly 26 covers the substantially right half of the above-described laterally elongated opening slot in the drawing, and the field of view (same) 28a of the scanning camera of the assembly 28 is It covers the left half of the remaining figures. Scan camera field of view 26 of each assembly 26, 28
a and 28a are overlapped at the center of the device 10 to ensure that the entire scanned image is scanned. The scanner 12 includes a processing circuit that erases an overlapping portion of image data generated from the overlapping portion. The scanning camera of each assembly 26, 28 for imaging through the horizontally long slot is a CCD for scanning the image surface of the image pattern sheet as a raster pattern.
A camera is preferred and the processing circuitry has a left and right field of view 26.
It is preferable that the data from the rasters of the scanning cameras are synchronized so that a and 28a generate one continuous image data. The scanner 12 may also include other processing circuitry for normalizing the data from the scanning cameras of each assembly.

In the present invention, the image pattern sheet to be scanned is sandwiched between the sandwich sheets 30 shown in FIG. The image pattern sheet sandwiched between the sandwiching sheets 30 is passed through the horizontally long slot of the scanner 12 to pass through each assembly 2
It is located on a feed tray 32 formed on top of the scanner 12 for scanning by 6, 28 scanning cameras. For this purpose, a pair of feed rollers 34, 36 are provided from the column 20 to the column 22. The roller 34 located below is rotated by a step motor 38. This step motor 38
The rotation of the roller and roller 34 is monitored and fed to the processing circuitry of the scanner 12 for each assembly 26, 28.
The camera detects the image in the sandwich sheet 30 in the Y coordinate direction in the figure, while detecting the position of the sandwich sheet 30 in the X coordinate direction orthogonal to the Y coordinate direction. Thus, along with the data from the stepper motor 38 and the scanning cameras of the assemblies 26, 28, processing circuitry within the scanner 12 can correlate X and Y coordinate data points in the output of the scanner 12.

The outer peripheral surfaces of the feeder rollers 34 and 36 are covered with a soft rubber material, a foam rubber or a spongy foam material so that they can be used for image pattern sheets having different thicknesses. Although the rollers 34 and 36 are covered with a soft rubber material or the like, the step motor 3
The roller rotated by 8 is only one of the rollers 34 and 36 (in this embodiment, the roller 34).
Therefore, the image pattern sheet may be twisted or slipped while scanning is being performed, which may cause geometric distortion in the image in the output data.

The sandwiching sheet 30 shown in FIG. 1 to FIG.
It consists of two flat sheets 40, 42. These two
The two flat sheets 40, 42 are arranged so that an image pattern sheet such as a pattern piece P cut out in the shape of a part of a shirt can be inserted between the flat sheets 40, 42.
They are joined at at least one end 44. Needless to say, the flat sheets 40, 42 are both flat sheets 40,
The end portions other than the one end portion 44 may be further joined as long as the insertion opening or the insertion portion capable of inserting the pattern piece P is provided between the 42.

As shown in FIG. 3, the flat sheet 40 positioned in the front direction of the drawing in comparison with the flat sheet 42 positioned in the rear direction of the drawing is made of a transparent material such as transparent vinyl. The pattern sheet P is made of an opaque sheet having a color or a tone that is clearly different from the color of the pattern piece P. A plurality of reference marks 46 are arranged along the surface of the flat sheet 42. The plurality of indicators 46 may be provided on the flat sheet 40. Each index 46 is composed of a plurality of concentric circles for the reason described below with reference to FIGS. 6 and 7. The index 46 can also be formed in a cross shape or another shape. The index 46 consisting of multiple concentric circles is
They are spaced from each other to determine a coordinate grid on the planar sheet 42. Pattern piece P
When the pattern piece P is inserted into the sandwiching sheet 30, the pattern pieces P are superposed on the virtual grid defined by the index 46,
Each point of the pattern piece P is matched with the above-mentioned virtual grid. Since the position of the index 46 is known in advance and this position is predetermined with a regular interval corresponding to the coordinate grid, each position on the surface of the pattern piece can be known with respect to the coordinate grid.
Therefore, any distortion caused by scanning can be corrected according to the difference between the grid whose position is known in advance and the grid distortion shown in the image data.

FIG. 4 is a diagram showing image data transferred from the scanner 12 to the data processor 14. The image data at this stage of the processing has not been corrected for mechanical, electrical and optical distortions that occur during the scanning. For example, the image in FIG. 4 is stretched in the horizontal or Y direction of the figure, and in the vertical or X direction.
Compressed in direction. Due to the relationship shown in the figure, the strains in the X and Y directions are greatly exaggerated, and the index 46 ′ is not a circle but an ellipse, and the surface of the pattern piece P ′ is a square. In reality, the strain in the X and Y directions is not as great as shown in FIG.
The circles in the shape of the circles remain almost the same. Furthermore, the distortion that occurs does not occur linearly or uniformly, and the distortion in some areas of the image is different than the distortion in other areas.

FIG. 4 also shows the coordinate grid defined by the distorted index 46 '. On the other hand, FIG.
Indicates an undistorted index 46, that is, an undistorted reference grid. Such a grid is not actually visible in the image data or on the sandwich sheet 30 shown in FIG. Since the index 46 is located around the image of the pattern piece P, no part of the image of the pattern piece P is blocked by the grid or the index 46. Therefore, important contours or reference points inside or at the edges of the pattern P are not obstructed.

The data processor 14 shown in FIG.
3 is used to convert the image data of the uncorrected pattern piece P'shown in FIG. 3 into the image data representing the corrected pattern P shown in FIG. This transformation is performed by a software program within the data processor 14 and relies primarily on known equations or transformations to transform from one coordinate system to another. Such conversion is clearly described in Chapter 5 "Image Restoration" of the above-mentioned book "Digital Image Processing (2nd Edition)". In the unitary transformation, the transformation on each coordinate axis is linear. Since the distortions that occur during a scan are neither linear nor evenly distorted, it is advisable to divide the image into a plurality of regions and transform for each region. In one embodiment of the invention, these regions are divided into a plurality of triangles with vertices that coincide with the intersection of the ordinate and abscissa of the index 46, as shown in FIG. Then, each point along the pattern piece P ′ is associated with a particular region, and the coordinate transformation for this region is applied to each point to make a position correction for that point in the undistorted reference grid. In other words, the distorted data is corrected to eliminate the distortion according to the uncorrected data defining the index 46 and the corrected data defining the known position of the index 46.

FIG. 5 shows an overview of the method for generating scanned and corrected image data. The operations performed by data processor 14 begin at step 54.

In the first step 50 of this method, the image of the pattern P and the index 46 are scanned by the scanner 12 with the pattern piece P inserted in the sandwiching sheet 30. By using the sandwiching sheet 30, the pattern piece P and the flat sheet 42 having the index 46 overlap each other in a relatively immovable state, and the flat sheet 40, 42 and the pattern piece P do not move relative to each other due to a frictional force between them. Is secured. Therefore, the pattern piece P and the sandwiching sheet 30 integrally pass between the feed rollers 32 and 34 of the scanner 12 shown in FIG.

The conventional scanner 12 has a pattern piece P.
The sandwiched sheet 30 containing the is scanned in a raster fashion and, as described above, raster data processed within the scanner 12 is generated to normalize the data and perform synchronous correction. Such processing is executed in step 52 shown in FIG. 5, and is executed inside the scanner 12. This process yields image data that has not been corrected for distortion that occurs during scanning.

Next, the data from the scanner 12 is supplied to the data processor 14. Data processor 1
In 4, the raster data is converted into vector data (step 54). In other words, the raster data, which is originally point data, is converted into a vector. This vector defines the pattern piece P as a closed contour,
Similarly, the concentric circles forming the index 46 are defined as polygons.

After the raster data has been converted to vector data, the processor 14 at step 56
The vector data is searched to identify the data corresponding to the concentric circles that compose 6. Differentiation between the data of the index 46 and other data that defines the pattern piece P is important.
The reason is that the index 46 is a basis for determining the amount, position, and magnitude of distortion that occurs during scanning, and correcting the distortion of the image data.

In the preferred embodiment of the present invention, index 4 in the uncorrected data from scanner 12 is used.
Since an original data processing technique for differentiating between the data defining the concentric circles forming 6 and the data defining other closed patterns has been found, the index 46 is, as shown in FIG. It is formed by a plurality of concentric circles. It is well known that circles are the most effective geometrical form for surrounding a given area. In other words, the circumference of the circle is the minimum outer peripheral dimension that encloses the predetermined area. By utilizing this well-known fact, when the perimeter of the closed pattern is C and the area of the pattern is A, when the value of C ² / 4A is π or at least 3.2 or less, It can be fairly accurately identified that the pattern is a circle and not another closed shape pattern such as the pattern piece P.

As a result, the circular indicator 46 is processed by processing the vector data for each of the closed patterns detected in the data from the scanner 12.
Are identified in the data from the scanner 12 and can be distinguished from other data defining the contour of the pattern piece P. The actual calculations performed to distinguish the data of the circles that make up the indicator 46 from the other data are described in detail in FIGS. 6 and 7.

In FIG. 6, the peripheral line is the step 54 of FIG.
2 shows a closed pattern or polygon consisting of a plurality of vectors defined by the converted data.
Each piece forming the polygonal perimeter is a single vector, and the length of this vector can be set immediately from the coordinates of both ends of each vector.

Further, the polygon is divided into a plurality of triangles according to the coordinates of each vector. Each triangle has a common vertex O. The area of this polygon is the same as the sum of the areas of a plurality of triangles, and the area of each triangle can be determined from the general formula of Ai shown below and the coordinates of each vertex of the triangle.

[Equation 1] The individual areas of the triangles are added together to calculate the total area of the polygon, and the lengths of each vector are added to determine the perimeter of the polygon. The calculated area and polygon perimeter are substituted into the C ² / 4A equation to determine if the polygon is a circle according to the method described above.

Once the circle forming index 46 has been drawn in the image data, processor 14 identifies the reference points that make up the circle, as shown in step 58. This reference point is the actual center of the concentric circles and defines the reference grid. For example, the index 46 shown in FIG. 3 is located along the periphery of the sandwiching sheet 30, but does not merely recognize the actual coordinates of the reference grid, but all other coordinates of the reference grid. Also recognize. For this reason, the reference grid is completely defined by the circumference of the index 46.

[0036] forming a coordinate i.e. index 46 of the reference point to accurately determine the coordinates of the center of the concentric circles, the center coordinates ^- X _C ^-,
- Y _C ^- the coordinates are calculated from the above equation. This parameter is shown in FIG. It should be noted that the above-mentioned ^"- X _C ^-" or ^"- Y
_C ^- "in" ^{- -} "it is intended to show the top bar. ^- X _C ^-
And ^- Y _C ^- equation with respect to the first to determine the centroid of each triangle, then determine the center of gravity, i.e. the center of the polygon from the center of gravity of each of these triangles. Since this polygon is actually a circle, the coordinates of its center of gravity are the center of this circle and the reference point for the index 46.

Although it is possible to use an index having a shape other than a plurality of circles, an index composed of concentric circles is advantageous for the following two reasons. That is, the index composed of a plurality of concentric circles is distinguishable from the circular part 48 composed of a single circle forming a part of the pattern piece P, and the reference point can be identified with considerable accuracy. Since the CCD camera actually detects the transition between the light and dark parts of the image, each circle of the indicator 46 produces two sets of data.
One represents the inner edge of the line defining the circle, and the other represents the outer edge of the line defining the circle. Therefore, the four concentric circles that make up each index 46 provide eight centers or reference points, all eight reference points being coincident in an ideal situation. However, the resolution of the scanning cameras of the assemblies 26, 28 is limited, and the coordinates or reference points may be slightly offset due to variations in the thickness of the lines that describe the concentric circles and other factors. By taking the average value of the coordinate values for all the data of the eight reference points, it is possible to minimize the influence of the deviation of the reference points and to supply accurate coordinates that define the center of the index 46, that is, the reference point. .

Once the reference point of the index 46 is determined,
Any grid coordinates within index 46 are also determined. Such reference points determine the actual position of each intersection of the triangular mesh pattern shown in FIG. From the actual position of these intersections in the reference grid and the known exact position of the intersections, a coordinate transformation is performed by the data processor 14 for each triangular area (step 60). The distortion in a triangular area is
Since it will be different from the distortion in other triangular areas,
Multiple coordinate transformations are performed on multiple regions within the coordinate grid. Once this coordinate transformation has been performed, each point of the data defining the pattern strip P'shown in FIG. 4 is transformed into a reference grid or coordinate system to produce data that is corrected for the distortion that occurred during the scan. It can be spatially arranged.

Accordingly, the data processor 14 scrutinizes the uncorrected data produced by the scanner 12 and predetermines in step 62 whether the data represents the indicia 46 or the pattern strip P '. When this data is the reference point, the process proceeds to step 72, all the output data of the reference point is deleted, and the process proceeds to step 70. Alternatively, if the data is not a reference point, that is, it represents a polygonal vector point that defines the pattern piece P, the process proceeds to step 64, and the vector point is scrutinized to form an area, that is, a triangle in the coordinate grid. Relate. Once this association is made, in step 66 the vector points are spatially placed in the reference grid with a transformation corresponding to the identified triangular region. At this time, the data defining the vector points is converted from uncorrected data to corrected data, and in step 68 the corrected data is stored in memory means (not shown). Then proceed to step 70 and determine if more points need to be processed. If there are more points, the process returns to step 62 and the above processing is repeated. Once the last point data has been processed, at step 74 the data processor 14 causes the undistorted pattern strip P
The image data that defines the outer circumference of is output.

As described above, according to the present invention, a conventional scanner is used for converting an image of a pattern piece or another image into corrected data in order to remove distortion generated during scanning. Can be used.

Although the present invention has been described with reference to the preferred embodiments described above, various changes and improvements may be made without departing from the technical idea described in the claims of the present invention. For example, in the above-described embodiment, the image pattern sheet having a certain image is described as the pattern piece P, but another pattern may be used as long as it has an image that is visible and detected by the scanner 12. The scanner 12 in the present embodiment uses a feed mechanism for passing the image pattern sheet through the scanner 12 during scanning, but a fixed platen type for scanning without moving the image pattern sheet during scanning. It may be configured to use the scanner. The transformations for spatially mapping the data from one coordinate system to another can be either linear or non-linear, and the reference grid can be a linear coordinate system, polar coordinate, as long as the appropriate transformation is used. It may be a system grid or another type of grid. The sandwich sheet 30 having the index 46 may have any shape. For example, the indicator 46 may be provided on the transparent flat sheet 40 side, not on the opaque flat sheet 42 side, provided that care is taken to position the pattern piece so that its contour is not covered by the pattern piece. Good. The processing of the uncorrected data may also include a subroutine for further analysis of the uncorrected data in order to separate the data representing the index from the image data. Further, the present invention may be configured such that the image pattern sheet is fixed to a simple sheet-like member without using the sandwiching sheet 30.

[0042]

As described above, according to the image pattern scanning method and apparatus of the present invention, by using the conventional scanning device without using an expensive scanning device,
Correct the distortion caused by scanning by this scanning device,
Image data that faithfully reproduces the scanned image can be generated.

[Brief description of drawings]

FIG. 1 is a perspective external view showing an image scanning device equipped with a large-sized image scanner to which the present invention is applied.

FIG. 2 is a front view showing the image scanning device of FIG.

FIG. 3 is an external view showing a sandwich sheet and pattern pieces scanned by a scanner.

FIG. 4 is a diagram showing graphically the digitized data that is not corrected for the distortion of the sandwiching sheet and the pattern piece shown in FIG.

5 is a flowchart showing a scanning and data processing method by the image scanning device shown in FIG.

FIG. 6 is a diagram showing an example of a method for identifying a circular index from scanning data.

[Explanation of symbols]

 10 image scanning device 12 image scanner 14 data processor 26 28 assembly 30 sandwiching sheet 40 42 flat sheet (flat member) 46 index P pattern piece (image pattern)

Claims (19)

[Claims] 1. A step of providing a plane member provided with a plurality of indices defining known reference points; a plane member and an image pattern for locating an image on the image pattern and the plurality of indices on the same plane. A step of scanning the superposed planar member and the image pattern to generate data representing the image and a plurality of indexes generated by the scanning and not corrected for distortion; and Processing the uncorrected data to generate corrected data based on known reference point distortions in the uncorrected data;
An image pattern scanning method, comprising: 2. The image pattern scanning processing method according to claim 1, wherein the step of processing the uncorrected image data includes the step of executing coordinate conversion based on the distortion of a reference point in the uncorrected data. 3. The method according to claim 1, wherein the step of processing the uncorrected image data further includes performing coordinate transformation corresponding to each of a plurality of regions forming the image pattern, and then performing coordinate transformation for each region. A method of scanning an image pattern comprising the step of processing uncorrected data from an area. 4. The method according to claim 1, further comprising the step of distinguishing the data forming the image pattern from the data forming the plurality of indices in the corrected data; generating only the data forming the corrected image pattern. In order to
A method of scanning an image pattern, the method comprising: removing data constituting a plurality of indices. 5. The method of scanning an image pattern according to claim 4, wherein the index provided on the plane member is composed of a plurality of circles. 6. The method according to claim 4, wherein the step of distinguishing the data forming the image pattern from the data forming the plurality of indices in the corrected data includes the perimeter of the pattern in the corrected data as C, When the area of the pattern is A, and when C ² / A is less than or equal to a predetermined value, the scanning of the image pattern in which the data defining the pattern in the corrected data is determined to be the data forming the index Processing method. 7. The scanning processing method for an image pattern according to claim 1, wherein the index provided on the plane member is composed of a plurality of concentric circles. 8. The method according to claim 1, wherein the index is a scanning processing of an image pattern arranged in the peripheral portion of the plane member. 9. An image scanning device for scanning an image pattern to produce image data uncorrected for distortions occurring during scanning; and having a plurality of indicia accurately located on a surface thereof A plane member defining a known reference point of the image pattern and the plane member, wherein the image pattern and the plane member locate a plurality of indexes defining the known reference point and an image on the image pattern on the same plane during scanning. Can be stacked for
The image and the plurality of indicia are included in the uncorrected data generated by the scanning device, and further the scanning is performed to obtain the uncorrected data that constitutes the image pattern and the plurality of indicia. An uncorrected image based on uncorrected data connected to the device defining a plurality of indicia on the planar member and accurate data defined by known positions of the indicia on the planar member. An image pattern scanning processing apparatus, comprising a processor for converting data into image data corrected for distortion. 10. The uncorrected data and the accurate data according to claim 9, wherein the processor converts the uncorrected image data into the accurate image data so as to define the positions of the plurality of indexes on the planar member. Image pattern scanning apparatus having a program for executing coordinate conversion based on the above. 11. The processor according to claim 10, wherein the processor is
Image pattern scanning processing having a program for forming a reference grid based on a known reference point composed of a plurality of indices, and a program for performing coordinate conversion for a plurality of conversions corresponding to a plurality of regions on the reference grid apparatus. 12. The image data obtained from the scanning device according to claim 11, wherein a plurality of indices and data points forming an image pattern are defined, and the processor further includes an area of a reference grid in which the data points of the image pattern are located. And an image pattern scanning processor having a program for associating a data point with an image pattern. 13. The processor according to claim 12, wherein the processor is
An image pattern scanning processing device having a program for processing data points of an image pattern by coordinate transformation relating to an area of a reference grid in which the data points of the image pattern are located. 14. The flat member according to claim 9, wherein the flat member provided with a plurality of indexes is one of two flat sheets that form a sandwiching sheet into which the image pattern can be inserted. A scanning processing device for an image pattern that is sandwiched between two flat sheets for superposition on a plurality of indices. 15. A scanning processing apparatus for an image pattern according to claim 14, wherein one of the two flat sheets is transparent and the other is opaque. 16. The scanning processing apparatus for an image pattern according to claim 15, wherein the index constituting the known reference point is arranged on an opaque flat sheet. 17. The scanning processing apparatus according to claim 9, wherein the plurality of indexes on the plane member include at least one circle. 18. The image pattern scanning processing apparatus according to claim 9, wherein the processor further has a program for identifying data representing the image pattern and data representing a plurality of indices from the data obtained from the scanning device. 19. The scan processing apparatus for an image pattern according to claim 9, wherein the index arranged on the plane member is arranged in the peripheral portion of the plane member in order to avoid overlapping with the image pattern.