JP2801505B2 - Image pattern scanning processing method and apparatus - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

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

[0002]

2. Description of the Related Art Apparatuses for scanning images and converting the scanned images into data that can be processed by a computer later are well known in the art. Many uses of such devices are also known. For example, one of the uses is as follows.
Pattern pieces that define the contours of a piece of fabric that make up a shirt, dress, pants, or other garment are made by a garment designer as life-size pattern pieces. The pattern strip is typically cut from cardboard, heavy paper, or lightweight cardboard, and the contour data for cutting and sewing the pattern strip is digitally scanned by a scanning device for subsequent manufacturing operations. Be converted to data. The first manufacturing operation is usually marker making, in which sheet-like materials are stacked so that pattern pieces are cut out in an overlapping state. 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 superimposed sheet material by an automatic and numerically controlled cutting machine. One such cutter is disclosed in U.S. Pat. No. 3,495,492. In the above marker making device and automatic cutting machine,
The contours of the pattern pieces are used in a machine-readable form, especially in the form of digital data, for processing and reproduction as visible visible image pattern pieces or as cut pattern pieces themselves. The digital data representing the pattern strip must therefore faithfully reproduce the contours of the original pattern strip created by the garment designer.

[0004] Conversion of this visible image to digital data is also required in many fields outside the clothing industry. In each field, it is imperative to faithfully reproduce the contours of the visible image, otherwise the generated data will be useless or the data will be subject to manufacturing errors,
Various difficulties, poor quality, or other undesirable consequences of manufacturing may result.

As described above, it is well known to convert a visible image into a machine-readable form, particularly digital data, and this conversion is performed using a scanner. The transformed image is typically created by visible or other detectable landmarks drawn on the paper, or defined by the contours or outer edges of the pattern strip. Typical scanners use raster
A CCD camera capable of scanning by a scanning method and detecting the outline of an image converted into digital data is employed.

[0006] However, scanners often introduce distortion into the digital data. Thus, the reproduction of the image from the digital data does not exactly match the scanned original image. Such errors include, for example, optical distortions in cameras and imaging devices, mechanical errors related to the movement of any of the sheet-like members or cameras on which images are drawn during scanning, and errors related to electrical signal processing. Happens from. Any apparent errors in the scanned data or the images generated from the data may cause portions of the image to be stretched, bulged, distorted, shrunk, or displaced relative to other portions. It is characterized by being shifted. Thus, such errors cause dimensional differences between the original image and the image reproduced from the data generated by the scanner.

[0007] Sophisticated scanners that produce accurate image data are costly. The high cost of such devices is
Due to expensive optics and precise drive mechanisms required to minimize optical and mechanical errors that occur during scanning.

[0008] One solution to such a problem with the scanner is "Digital Image Processing 2nd Edition" (1987).
Addison-Wesley Publishing Company
Publishing Company) published by the author, RC Gonzalez. In Chapter 5, entitled Image Restoration of this book,
A network of small metallic square members directly embedded in the surface of the imaging tube,
Tie points at which the distorted image after scanning can be related to the original image by a series of equations or transformations
It is described that it is used as. In fact,
The above transformation allows points in one coordinate system distorted by the scanning process to be spatially mapped to another, ie, an undistorted coordinate grid system. Spatial mapping is possible because the location of the reticulated landmark embedded in the camera's image tube is accurately known, and the image of the reticulated landmark in the scanner data can accurately determine the magnitude and position of the distortion It is. While this approach allows for the correction of distorted data, it was essential that the scanning device be made especially with reticulated markings.
Also, mesh marks may 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 overcomes these problems and produces image data corrected for distortion caused by scanning without requiring an expensive scanning device. It is an object of the present invention to obtain a scanning processing method and apparatus.

[0010]

SUMMARY OF THE INVENTION The present invention relates to an apparatus for scanning an image pattern and generating image data with corrected distortion resulting from the scanning.

The apparatus used in the method of the present invention comprises a planar member having a plurality of accurately positioned indices, the plurality of indices being located on the planar member and having a known position such as in a coordinate grid. Define a reference point for.

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

[0013] The image pattern and the planar member provided with a plurality of indices are overlapped so that the image surface and the index surface are located on the same surface. For example, the flat member can be configured as one flat member that forms a sandwiching sheet into which an image pattern can be inserted. One of the plurality of flat members constituting the sandwich sheet is configured such that when the sandwich sheet having the image pattern is positioned in the scanning means during scanning, the image of the image pattern in the sandwich sheet and the The indicator is made of a transparent material so that it can be seen.

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 conversion used for this correction process is performed according to the uncorrected data defining the plurality of indices and the known positions of the plurality of indices in the planar member.

[0015] The present invention also relates to a method of scanning an image pattern and generating image data corresponding to the image pattern corrected for distortion resulting from the scanning. In this method, a planar member is provided with a plurality of indices defining a known reference point on the planar member. This reference point defines, for example, a coordinate grid. The plane member and the image pattern are overlapped so that the surface of the image pattern and the surfaces of the plurality of indices are located on the same surface. Next, the superimposed planar member and the image pattern are scanned simultaneously to generate data representing an image and an index that has not been corrected for distortions that occur during the scan. And
This uncorrected data is processed to generate corrected data according to the distortion of a known reference point in the data.

The present invention is very effective for a number of reasons. For example, according to the present invention, it is possible to perform a scan without utilizing a scanner specially designed to adjust the output data with respect to distortion, and to obtain dimensionally accurate data by this scan. . In other words, accurate data can be obtained even by using an old scanner. Furthermore, before scanning, if the plurality of indices defining the known reference points to be digitized and the respective planes of the image of the image pattern are located on the same plane, the outline in the image will be in the plurality of indices. You can make sure it is not obstructed. This method ensures that the resulting data is not only dimensionally accurate, but also defines all features of the scanned image.

[0017]

1 shows a large image scanner 12 according to the present invention.
1 illustrates an image scanning device 10 including The image scanner 12 sends a pattern sheet (image pattern) having an image to the apparatus, sequentially scans the image drawn on the image pattern sheet, and generates digital data corresponding to the image. This digital data is stored in a data processor 14 which is a conventional PC computer.
Supplied to The purpose of the image scanner 12 is to synchronize, normalize, and possibly compress the data without compensating for distortion due to mechanical, electrical or optical causes that may occur during scanning. Thus, a conventional type scanner for performing the initial processing of the digitized data can be used. Scanners of this type include the Vidar Systems Corporation, located 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 has a housing 24 between the columns 20 and 22. The housing 24 has assemblies 26 and 28 each consisting of a scanning camera and a lens, respectively, left and right in FIG. These assemblies 26,
The scanning camera 28 captures the entire image of the image pattern sheet scanned through a horizontally-opened slot (not shown) formed at 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 substantially the right half in the figure of the above-described horizontally elongated slot, and the field of view (the same) 28a of the scanning camera of the assembly 28 is It covers almost the left half in the remaining figures. The field of view 26 of the scanning camera of each assembly 26, 28
a, 28a are overlapped in the center of the device 10 to ensure that the entire scanned image is scanned. The scanner 12 includes a processing circuit for erasing an overlapping portion of the image data generated from the overlapping portion. The scanning camera of each of the assemblies 26 and 28 that captures images through the horizontally elongated slots includes a CCD that scans the image surface of the image pattern sheet as a raster pattern.
A camera is preferred, and the processing circuitry includes a
Preferably, a and 28a synchronize data from the rasters of each scanning camera in order to generate one continuous image data. Scanner 12 can also include other processing circuitry for normalizing data from the scanning cameras of each assembly.

In the present invention, an image pattern sheet to be scanned is sandwiched between sandwiching sheets 30 shown in FIG. The image pattern sheet sandwiched between the sandwich sheets 30 passes through a horizontally long opening slot of the scanner 12 and passes through each assembly 2.
It is located on a feed tray 32 formed above the scanner 12 for scanning by the scanning cameras 6, 28. For this purpose, a pair of feed rollers 34, 36 is provided from the support 20 to the support 22. The roller 34 located below is rotated by a step motor 38. This step motor 38
And the rotation of the rollers 34 is monitored and provided to the processing circuitry of the scanner 12 for each assembly 26, 28
The camera detects an image in the sandwiching sheet 30 in the Y coordinate direction in the figure, while detecting the position of the sandwiching 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, the processing circuitry within the scanner 12 can correlate the 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 cellular rubber or a spongy cellular material so as to be compatible with image pattern sheets having different thicknesses. The rollers 34 and 36 are covered with a soft rubber material or the like.
The roller rotated by 8 is only one of the rollers 34 and 36 (the roller 34 in this embodiment).
Therefore, the image pattern sheet may be twisted or slipped while scanning is being performed, thereby causing a geometric distortion in an image in the output data.

The sandwiching sheet 30 shown in FIGS.
It consists of two flat sheets 40,42. These two
The two flat sheets 40 and 42 are configured such that an image pattern sheet such as a pattern piece P cut out in a shape of a part of a shirt can be inserted between the flat sheets 40 and 42, for example.
They are joined at at least one end 44. Needless to say, the flat sheets 40, 42 are both flat sheets 40,
If an insertion port or an insertion portion or the like into which the pattern piece P can be inserted is provided between the ends 42, the ends other than the one end 44 may be further connected.

As shown in FIG. 3, the flat sheet 40 located in the front side of the drawing in FIG. 3 is made of a transparent material such as transparent vinyl. , An opaque sheet having a color or 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 indices 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. Note that the index 46 can also be configured in a cross shape or another shape. The index 46 composed of a plurality of concentric circles is
In order to determine a coordinate grid (grid) on the flat sheet 42, they are arranged at an interval from each other. Pattern piece P
Is inserted into the sandwiching sheet 30, the pattern piece P is superimposed on the virtual grid defined by the index 46,
Each point of the pattern piece P is matched with the virtual grid. Since the position of the indicator 46 is known in advance and this position is preferably predetermined with a regular interval corresponding to a coordinate grid, each position on the pattern piece surface 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 distortion of the grid shown in the image data.

FIG. 4 is a diagram showing image data (first image data) transferred from the scanner 12 to the data processor 14. The image data at this stage has not been corrected for mechanical, electrical and optical distortions that occur when performing the scan. For example, the image in FIG. 4 is expanded in the horizontal direction, that is, the Y direction, and is compressed in the vertical direction, that is, the X direction. Due to the relationship shown in the figure, the distortion in the X and Y directions is greatly exaggerated, and the index 46 'is not circular but almost elliptical, and the surface of the pattern piece P' is substantially square. Actually, the distortion in the X and Y directions is not so large as shown in FIG. 4, and the circle of the index 46 'substantially keeps the shape of the circle. Furthermore, the resulting distortion does not occur linearly or uniformly, and the distortion in one region of the image is different from the distortion in other regions.

FIG. 4 shows a coordinate grid defined by the indicator 46 'in a distorted state. On the other hand, FIG.
Indicates an indicator 46 without distortion, that is, a reference grid without distortion. Such a grid is not actually represented in the image data or on the sandwiching sheet 30 shown in FIG. Since the index 46 is located around the image of the pattern piece P, any part of the image of the pattern piece P is not obstructed 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.
Are used to convert the image data of the uncorrected pattern piece P ′ shown in FIG. 3 into image data (second image data) representing the corrected pattern P shown in FIG. This transformation is performed by a software program inside the data processor 14 and mainly depends on known equations or transformations for transforming from one coordinate system to another. Such a conversion is described in the book Digital Image Processing described above.
ocessing) is clearly stated in Chapter 5, "Image Restoration" of the Second Edition. In a unitary transformation, the transformation in each coordinate axis is linear. Since the distortion that occurs during the execution of the scan is not linear and is not evenly distorted, it is advisable to divide the image into a plurality of regions and perform a transformation on each region. In one embodiment of the present invention, these regions are divided into a plurality of triangles having vertices coincident with the intersection of the ordinate and abscissa, as shown in FIG. Then, each point along the pattern piece P ′ is associated with a specific area, and the coordinate transformation for this area is applied to each point,
A position correction is performed on the point on the reference grid without distortion. In other words, the skewed data is the uncorrected data defining the index 46 and the index 46
Is corrected to eliminate the distortion according to the corrected data defining the known position of.

FIG. 5 is a diagram showing the whole method for generating the scanned and corrected image data. The operations performed by data processor 14 begin at step 54.

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

The conventional scanner 12 has a pattern piece P
Is scanned in a raster fashion, and raster data processed inside the scanner 12 is generated to normalize the data and perform synchronization correction as described above. Such processing is executed in step 52 shown in FIG. 5, and is executed inside the scanner 12. With this processing, image data that is not corrected for distortion generated during scanning is obtained.

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

After the raster data has been converted into vector data, the processor 14 determines in step 56
The vector data is searched to identify the data corresponding to the concentric circles constituting 6. It is important to differentiate the data of the index 46 from other data that defines the pattern piece P.
The reason is that the index 46 is a basis for determining the amount, position, and magnitude of distortion generated during scanning, and for correcting distortion of image data.

In the preferred embodiment of the present invention, the index 4 in the uncorrected data from the scanner 12
Since a unique data processing technique for differentiating between data defining concentric circles constituting data 6 and data defining other closed patterns has been found, as shown in FIG. It is formed by a plurality of concentric circles. It is well known that circles are the most effective geometric form for surrounding a given area. In other words, the circumference of the circle is the minimum outer dimension surrounding the predetermined area. Utilizing this well-known fact, if the circumference 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 recognized quite accurately that the pattern is a circle and is not a pattern exhibiting another closed shape such as the pattern piece P.

As a result, by processing the vector data for each of the closed patterns detected in the data from the scanner 12, a circular index 46 is obtained.
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 circle data making up the indicator 46 from other data will be described in detail in FIGS.

FIG. 6 shows that the peripheral line is the same as the step 54 in FIG.
3 shows a closed pattern or polygon consisting of a plurality of vectors defined by the data converted by.
Each piece constituting the polygonal circumference 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 to calculate the total area of the polygon, and the length of each vector is added to determine the perimeter of the polygon. And calculated area and polygonal circumferential line, a polygon according to the method described above is substituted into equation C ² / 4A to determine whether a circle.

Once the circle forming the index 46 has been drawn in the image data, the 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 circle and defines the reference grid. For example, the indices 46 shown in FIG. 3 are simply located along the perimeter of the sandwich sheet 30, but do not simply recognize only the actual coordinates of the reference grid, but all other coordinates of the reference grid. Also recognize. Thus, 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 the polygon is actually a circle, the coordinates of the center of gravity are the center of the 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 formed of concentric circles is advantageous for the following two reasons. That is, an index composed of a plurality of concentric circles is distinguishable from a circular portion 48 composed of a single circle constituting a part of the pattern piece P, and a 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. Thus, the four concentric circles that make up each indicator 46 provide eight centers or reference points, all of which coincide 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 concentric lines and other factors. By averaging the coordinate values of all the data of the eight reference points, the influence of the shift of the reference points can be minimized, and accurate coordinates defining the center of the index 46, that is, the reference points can be supplied. .

Once the reference point of the index 46 is determined,
Any grid coordinates within index 46 are also determined. Such a reference point determines the actual position of each intersection of the triangular mesh pattern shown in FIG. From the actual location of these intersections in the reference grid and the known exact location of the intersections, a coordinate transformation is performed by the data processor 14 for each triangular area (step 60). The distortion in the area of a triangle is
Since it will be different from the distortion in other triangular areas,
A plurality of coordinate transformations are performed on a plurality of regions in the coordinate grid. Once this coordinate transformation has been performed, each point of the data defining the pattern piece P ′ shown in FIG. 4 is converted to a reference grid or coordinate system to generate data that is corrected for distortions that occur during scanning. It can be spatially arranged.

Accordingly, the data processor 14 examines the uncorrected data generated by the scanner 12, and in step 62 determines in advance whether this data represents the index 46 or the pattern piece P '. If this data is the reference point, the process proceeds to step 72, where all the data of the reference point output is deleted, and the process proceeds to step 70. Alternatively, if the data is not a reference point, that is, if it represents a polygonal vector point that defines the pattern piece P, the process proceeds to step 64, where the vector point is examined, and an area of the coordinate grid, that is, a triangle is determined. Relate. Once this association has been made, in step 66 the vector points are spatially located on a reference grid by a transformation corresponding to the identified triangular area. At this time, the data defining the vector point is converted from uncorrected data to corrected data, and in step 68, the corrected data is stored in a memory means (not shown). The process then proceeds to step 70, where it is determined whether further points need to be processed. If there are more points, the process returns to step 62 to repeat the above processing. When the last point data has been processed, in step 74, the data processor 14 determines that the undistorted pattern piece P
Output image data that defines the outer circumference of.

As described above, according to the present invention, a conventional scanner is used to convert 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 above-described preferred embodiments, various changes and improvements may be made without departing from the technical concept described in the claims of the present invention. For example, in the above-described embodiment, the image pattern sheet having an image is described as the pattern piece P. However, any other image pattern sheet 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 at the time of scanning, but the original table fixed type that scans without moving the image pattern sheet during scanning. May be used. Transformations for spatially mapping data from one coordinate system to another can be either linear or non-linear, and reference grids can be linear coordinate systems, polar coordinates, as long as the appropriate transformations are used. It may be a system grid or another type of grid. The sandwiching sheet 30 having the index 46 may have any shape. For example, the indicator 46 may be provided on the side of the transparent flat sheet 40 instead of on the opaque flat sheet 42, as long as care is taken to position the pattern piece so that its outline is not covered by the pattern piece. Is also good. The processing of the uncorrected data may 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 have a configuration in which the image pattern sheet is fixed to a mere sheet member without using the sandwiching sheet 30.

[0042]

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

[Brief description of the drawings]

FIG. 1 is a perspective external view showing an image scanning apparatus provided 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 a pattern piece scanned by a scanner.

FIG. 4 is a diagram illustrating digitized data that is not corrected with respect to distortion after scanning of the sandwich sheet and the pattern piece illustrated in FIG.

FIG. 5 is a flowchart showing a scanning and data processing method by the image scanning device shown in FIG. 1;

FIG. 6 is a diagram illustrating an example of a method for identifying a circular marker from data obtained by scanning.

[Explanation of symbols]

 Reference Signs List 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)

Continuation of the front page (56) References JP-A-2-110307 (JP, A) JP-A-2-278377 (JP, A) JP-A-57-84058 (JP, U)

Claims (19)

(57) [Claims] 1. A scanning processing method for scanning an image pattern having a predetermined shape and correcting distortion of image data obtained by the scanning, wherein each coordinate position is predetermined and distinguishable from the image pattern. Supplying a planar member having a plurality of indices of a shape; overlapping the planar member with the image pattern; scanning the superimposed image pattern and the planar member at the same time; Generating first image data representing an index; and the first image data;
Converting the first image data into second image data corrected for distortion based on the distortion of the image data of the plurality of indices included in the image data. Scan processing method. 2. The scanning processing method according to claim 1, wherein the step of converting the first image data into the second image data includes performing coordinate conversion based on a distortion of image data of a plurality of indices in the first image data. A method for scanning an image pattern, the method comprising the steps of: 3. The scanning processing method according to claim 1, wherein the step of converting the first image data into the second image data further includes performing a coordinate conversion on each of a plurality of regions constituting the image pattern. And then processing the first image data based on the result of the coordinate conversion for each area. 4. The scanning processing method according to claim 1, further comprising the step of distinguishing image data of a plurality of indices included in the second image data from other image data; Removing the image data of the plurality of indices. 5. The scanning processing method according to claim 4, wherein each of the plurality of indices is composed of a plurality of concentric circles. 6. The scanning processing method according to claim 4, wherein the step of distinguishing between the image data of the plurality of indices and other image data is performed by setting a peripheral length of a predetermined image included in the second image data to C. When the area is A, and when C ² / 4A is equal to or less than a predetermined value, the predetermined image is determined to be an image representing one of a plurality of indices. 7. The scanning processing method according to claim 1, wherein each of the plurality of indices is composed of a plurality of concentric circles. 8. The scanning processing method according to claim 1, wherein the plurality of indices are arranged on a peripheral portion of the plane member. 9. A scanning processing apparatus for scanning an image pattern having a predetermined shape and correcting distortion of image data obtained by the scanning, wherein each coordinate position is predetermined and distinguishable from the image pattern. A planar member having a plurality of indices of shape; an image scanning device for simultaneously scanning a superimposed one of the planar member and the image pattern to generate first image data representing the image pattern and the plurality of indices; Connected to the image scanning device for converting the first image data into second image data corrected for distortion based on the distortion of the image data of the plurality of indices included in the first image data; And a processor for processing the image pattern. 10. The scanning processing apparatus according to claim 9, wherein the processor defines a coordinate position of the plurality of indices on the plane member to convert the first image data into the second image data. An image pattern scanning processing device having a program for performing coordinate conversion based on coordinate position data before correction and predetermined accurate coordinate position data included in one image data. 11. The scanning processing apparatus according to claim 10, wherein the processor forms a reference grid based on predetermined coordinate positions of the plurality of indices, and corresponds to each of the plurality of regions on the reference grid. And a program for executing a plurality of coordinate transformations. 12. The scanning processing device according to claim 11, wherein the image data obtained from the image scanning device defines a plurality of indices and point data constituting an image pattern, and the processor further comprises: An image pattern scanning processing apparatus having a program for associating data with a reference grid area where the point data is located. 13. The image processing apparatus according to claim 12, wherein the processor has a program for processing the point data of the image pattern by coordinate transformation associated with an area of a reference grid where the point data of the image pattern is located. Scanning device for pattern. 14. The scanning processing apparatus according to claim 9, wherein the flat member having the plurality of indices is one of two flat sheets constituting a sandwiching sheet into which an image pattern can be inserted. An image pattern scanning processing device for sandwiching an image pattern between two flat sheets. 15. The scanning processing apparatus according to claim 14, wherein one of the two flat sheets is transparent and the other is opaque. 16. The scanning processing apparatus according to claim 15, wherein the plurality of indices are image patterns arranged on an opaque flat sheet. 17. The scanning processing device according to claim 9, wherein each of the plurality of indices includes at least one circle. 18. The scanning processing apparatus according to claim 9, wherein the processor further comprises a program for identifying data representing the image pattern and data representing a plurality of indices from the data obtained from the image scanning apparatus. Scan processing device. 19. The scanning processing apparatus according to claim 9, wherein the plurality of indices are arranged around the plane member so as to avoid overlapping with the image pattern.