TWI438714B - System and method synthesizing images - Google Patents

Description

Image synthesis system and method

The present invention relates to an image processing system and method, and more particularly to an image synthesis system and method.

In precision image measurement, the standard industrial charge coupled device (CCD) with a special lens can obtain high-resolution images, that is, high-definition images, with high precision, good repeatability, and no deformation. The measured workpiece has a small influence, so it is widely used in factories and laboratories. Image resolution is a parameter used to measure the amount of data in an image, usually expressed as ppi (pixels per inch). The more data you have, the larger the length of the graphics file and the richer details. Pixel is composed of two letters, Picture and Element. It is a unit for calculating images. The image has a continuous tone and tone. If you magnify the image several times, you will find that these continuous colors are actually It consists of a number of small squares with similar colors. These small squares are the smallest unit "picture elements" that make up the image.

The length of a primitive that can be recognized by a standard industrial CCD with a 1x objective lens corresponds to a workpiece size of about 0.01 mm. Therefore, in a mode where the resolution of the computer display is 1024*768, the size of the displayable range is about 10 mm. When the measured workpiece size is large, it is obviously impossible to display the complete on one screen, and it is necessary to shake the measuring machine to multiple sheets. The same workpiece image is taken for measurement processing, but since the manual shake measurement machine is time consuming, when a measurement person measures a workpiece using the measurement machine, other measurement personnel must be long. The waiting time of the machine, thus greatly reducing the efficiency of the measurement staff.

Therefore, in view of the above drawbacks, it is necessary to provide a method capable of offline measurement of an image captured by a workpiece to reduce the occupation time of the machine.

In view of the above, it is necessary to provide an image synthesis system and method, which can combine multiple bitmaps to generate a global map of workpieces, and can find the selected location according to the position selected by the measurement personnel on the global map. Sub image.

An image synthesis system for synthesizing images using a computer, the computer comprising a database storing at least one bitmap and coordinate files associated with the position of the bitmap, the computer further including a point A merge unit and a seek image unit, wherein:

The bitmap merge unit is configured to combine a plurality of bitmaps according to a coordinate file in the database to obtain a merged global map; and the sub-image unit is used according to the merged global map The selected position in the selected sub-image near the selected position.

The bitmap merging unit includes a logical rectangle computing module and a primitive unit rectangular adding module, wherein: the logical rectangular computing module is configured to: according to a height and a width of each bitmap in the database, and the The center coordinate of the bitmap is converted to a primitive unit rectangle, and each primitive unit rectangle is combined according to its central coordinate to obtain a large logical rectangle; it is also used to calculate the large logical rectangle reduction ratio; The shape adding module is configured to reduce all the unit rectangles obtained by the above conversion according to the above ratio, and merge the reduced bitmaps.

A preferred embodiment of the present invention provides an image synthesizing method. The method includes the following steps: calculating a large logical rectangle, which converts each dot map in the database into a unit rectangle of a primitive and merges them. Calculate the reduction ratio of the large logical rectangle; construct the returned bitmap rcC, which is formed by scaling the large logical rectangle according to the above scale; open the bitmap rcC; clear the bitmap rcC into the background Color; read the unit rectangle of a bitmap, reduce the unit rectangle of the primitive according to the above ratio, repeat this step until all the primitive unit rectangles are read; add the bitmap obtained after the reduction to The bitmap rcC obtains a merged global map; and selects a position on the global map and finds a sub-image near the selected location.

Compared with the prior art, the image synthesizing system and method can combine a plurality of dot patterns to generate a global map of the workpiece, and obtain the selected position according to the selected position of the measuring person on the global map. The nearby sub-images enable offline measurement of the image and reduce the occupation time of the machine to improve the measurement efficiency.

1‧‧‧ computer

2‧‧‧X-axis manual rocker

3‧‧‧Y-axis manual rocker

4‧‧‧Z-axis manual rocker

5‧‧‧Workpiece to be tested

6‧‧‧ machine

7‧‧‧Charge-coupled device

10‧‧‧ bitmap merge unit

11‧‧‧Sub-image unit

12‧‧‧Database

1 is a hardware architecture diagram of a preferred embodiment of an image composition system of the present invention.

2 is a functional block diagram of an image merging unit in a preferred embodiment of the image compositing system of the present invention.

Fig. 3 is a diagram showing a coordinate mapping relationship of the image synthesizing method of the present invention.

4 is a flow chart of image merging in accordance with a preferred embodiment of the image synthesizing method of the present invention.

Figure 5 is a sub-flow diagram of the step of computing the large logical rectangle rcA in Figure 4.

Figure 6 is a sub-flow diagram of the sub-images near the selected location on the global map in the step of Figure 4.

Referring to Figure 1, there is shown a hardware architecture diagram of a preferred embodiment of the image composition system of the present invention. The image synthesizing system (hereinafter referred to as the system) includes a computer 1 and a machine table 6 on which the workpiece 5 to be tested is placed. The Z-axis of the machine 6 also has a charge coupled device (CCD) for collecting continuous images. The charge coupled device 7 is equipped with an industrial optical lens, and the charge coupled device 7 transmits the industrial optical lens. To take an image of the workpiece 5 to be tested. The computer 1 includes a database 12. The database 12 can be located either in the computer 1 or independently of the computer 1. For convenience of description, in a preferred embodiment of the present invention, the database 12 is located in the computer 1. The charge coupled device 7 is connected to the computer 1 through an image data line, and the charge coupled device 7 transmits the image acquired from the machine 6 to the computer 1 through the image data line, and the computer 1 saves the image. To the database 12, the database 12 also holds a coordinate file associated with the image location. The coordinate file includes the file name of each image and its center point coordinates, which is the unit of measure. Since each image is stored in bitmap bmp format, the image is referred to below as a bitmap. Name each image with bmp0, bmp1...bmpn, and so on. Each bitmap contains bitmap width and height information.

The computer 1 further includes a dot matrix merging unit 10 and a sub-image unit 11. The bitmap merge unit 10 is configured to combine a plurality of bitmaps according to the coordinate file in the database 12 to obtain a merged global map BMP. The sub-image unit 11 is used to determine a sub-image of the selected position in the merged global map BMP by the surveying personnel. The measuring personnel can measure the returned sub-images, thereby realizing off-line measurement of the image and improving the measurement efficiency to reduce the occupation time of the machine.

The system further includes a display device (not shown) coupled to the computer 1 for providing an interactive interface for the measurement personnel to view the image synthesis process and results through the display device and to pass through the display device A command is issued to the computer 1 to control the acquisition of the image or the synthesis of the bitmap.

The machine table 6 also has an X-axis manual rocker 2, a Y-axis manual rocker 4 and a Z-axis manual rocker 3. The X-axis manual rocker 2 controls the machine 6 to move left and right, and the Y-axis manual rocker 4 controls the machine 6 to move back and forth. The workpiece 5 to be tested on the machine moves with the movement of the control machine 6; Z-axis manual The rocker 3 controls the machine table 6 to move up and down along the Z axis, thereby adjusting the distance between the charge coupled device 7 and the industrial optical lens relative to the workpiece 5 to be measured to focus the workpiece 5 to be measured, and obtaining an image of the workpiece 5 to be tested.

Referring to FIG. 2, it is a functional block diagram of a dot matrix merge unit in a preferred embodiment of the image composition system of the present invention. The bitmap merge unit 10 includes a logical rectangle calculation module 100 and a primitive unit rectangle addition module 110. This will be described below in conjunction with FIG.

The logical rectangle calculation module 100 converts a height and a width of each dot pattern bmp0, bmp1...bmpn in the database 12 and a central coordinate of the bitmap to obtain a primitive unit rectangle rcB, and then according to the central coordinate thereof Each rcB merges to get a large logical rectangle rcA. The large logical rectangle rcA is a rectangle that can contain all of the primitive unit rectangles rcB while achieving the smallest area. The large logical rectangle rcA has a length a and a width b; each primitive unit rectangle rcB has a length c and a width d.

The logical rectangle calculation module 100 is further configured to calculate a large logical rectangle rcA reduction ratio S, that is, the large logical rectangle rcA is reduced in proportion to the scale S to form a bitmap rcC. Where S is equal to the larger of a/c and b/d, ie, when a/c>b/d, S=a/c; when a/c<b/d , S=b/d.

The primitive unit rectangle adding module 110 is configured to reduce the scale unit rcB obtained by the above conversion into a bitmap rcD by scaling S, and add the reduced bitmap rcD to the rcC. Get a merged bitmap BMP.

Referring to FIG. 3, it is a coordinate mapping relationship diagram in a preferred embodiment of the image synthesizing method of the present invention. As shown in the figure, the large logical rectangle rcA is mapped to the dot pattern rcC according to the scale S, and likewise, the primitive unit rectangle rcB is also mapped to the dot pattern rcD according to the scale S.

Referring to FIG. 4, it is a dot matrix merge flow chart of the image synthesizing method of the present invention. Step S301, the logical rectangle calculation module 100 converts a height and a width of each dot pattern bmp0, bmp1...bmpn in the database 12 and a central coordinate of the bitmap to obtain a primitive unit rectangle rcB, and then according to the center thereof. The coordinates combine each rcB to get a large logical rectangle rcA. The large logical rectangle rcA is a rectangle that can contain all of the primitive unit rectangles rcB while achieving the smallest area. The large logical rectangle rcA has a length a and a width b; each primitive unit moment rcB has a length c and a width d.

In step S302, the large logical rectangle rcA reduction ratio S is calculated. Where S is equal to the larger value of a/c and b/d, that is, when a/c>b/d, S=a/c; when a/c<b/d, S=b/d.

In step S303, the returned bitmap rcC is constructed, and the bitmap rcC is formed by scaling down the large logical rectangle rcA.

In step S304, the bitmap rcC is opened to be able to be edited.

In step S305, the bitmap rcC is cleared into a background color.

In step S306, the primitive unit rectangle adding module 110 reads a unit unit rectangle rcB obtained by the above conversion.

In step S307, the read primitive unit rectangle rcB is reduced by the scale S.

In step S308, it is determined whether the currently read primitive unit rectangle rcB is the last one.

Step S309, if the currently read primitive unit rectangle rcB is the last one, the bitmap image obtained by the reduction is added to the bitmap rcC to obtain a merged global map BMP, and the merged global map BMP is final. An image presented in front of the measurement personnel.

In step S310, a position is selected on the global map BMP, and a sub-image near the selected position is obtained, and finally the flow is ended.

If the currently read primitive unit rectangle rcB is not the last one, in step 311, the next primitive unit rectangle rcB is read and the flow returns to step S307.

Referring to FIG. 5, it is a sub-flowchart for calculating the large logical rectangle rcA in the step of FIG. In step S401, the logical rectangle calculation module 100 reads a dot pattern. Step S402, obtaining a high H and a width W of the read bitmap. In step S403, the central coordinate (X, Y) corresponding to the bitmap is read in the coordinate file, and the central coordinate unit is a unit of size, such as an inch. Step S404, converting the central coordinate (X, Y) into a primitive unit. Step S405, constructing a primitive unit rectangle rcB of the bitmap. In step S406, it is determined whether the currently read bitmap is the last one. If the currently read bitmap is the last bitmap, then in step S407, all the primitive unit rectangles rcB obtained above are merged, and a large logical rectangle rcA is obtained, and finally the flow ends. If the currently read bitmap is not the last one, in step S408, the next dot map is read, and the flow returns to step S402.

Referring to Figure 6, there is a sub-flow diagram of the sub-images near the selected location on the global map in the steps of Figure 4. In step S701, the sub-image unit 11 specifies a point pt on the merged bitmap BMP. In step S702, the mapping ptB of the point pt on rcA is calculated. In step S703, the rectangle rcE is constructed centering on ptB. The size of rcE is 1/S of rcA. In step S704, the rectangle rcE is converted into the rectangle rcF of the actual coordinates. The rcE is about to convert the rectangle rcF relative to the actual mechanical coordinates. Step S705, taking the first primitive unit rectangle rcB. In step S706, the intersection rectangle rcG of the primitive unit rectangle rcB and the rectangle rcF is obtained. In step S707, the intersection rectangle rcG obtained above is copied to the rectangle rcF. Step S708, determining whether the currently read primitive unit rectangle is the last one. If the currently read primitive unit rectangle is the last one, then in step S709, the intersection rectangle rcG is merged into a sub-image near the selected position of the measurement personnel, and the merged sub-image is obtained by the edge averaging method. Go to the raw edge and the final process ends.

On the contrary, if the currently read primitive unit rectangle is not the last one, then in step S710, the next primitive unit rectangle rcB is read, and the flow returns to flow S706.

The image synthesizing system and method of the present invention are disclosed above in the preferred embodiments, but are not intended to limit the present invention. Any person skilled in the art will be able to make modifications and refinements without departing from the spirit and scope of the invention, and the scope of the invention is defined by the scope of the appended claims.

10‧‧‧ bitmap merge unit

100‧‧‧Logical Rectangular Computing Module

110‧‧‧Element unit rectangle adding module

Claims (8)

An image synthesis system for synthesizing images using a computer, the computer comprising a database storing at least one bitmap and coordinate files associated with the position of the bitmap, the computer further including a point a merge unit and a seek image unit, wherein: the bitmap merge unit is configured to combine a plurality of bitmaps according to a coordinate file in the database to obtain a merged global map; The sub-image unit is operative to find a sub-image near the selected location based on the selected location in the merged global map. The image composition system of claim 1, wherein the bitmap merge unit comprises: a logical rectangle calculation module, configured to: according to a height, a width, and a lattice of each dot map in the database; The center coordinate of the graph is converted into a primitive unit rectangle, and then each primitive unit rectangle is combined according to its central coordinate to obtain a large logical rectangle; it is also used to calculate the large logical rectangle reduction ratio; the primitive unit rectangle is added to the module, All the primitive unit rectangles obtained by the above conversion are reduced according to the above ratio, and the reduced bitmaps are combined to obtain a global map. The image composition system of claim 1, wherein the large logical rectangle is a rectangle capable of containing all of the primitive unit rectangles while achieving the smallest area. An image synthesizing system according to claim 2, wherein the reduction ratio is The example is equal to the larger of a/c and b/d, where a and b are the length and width of the large logical rectangle; c and d are the length and width of the rectangular unit of each primitive. An image synthesis method, the method comprising the steps of: calculating a large logical rectangle, wherein the large logical rectangle converts each dot pattern in the database into a unit rectangle of a primitive and merges them; and calculates a reduction ratio of the large logical rectangle Constructing the returned bitmap rcC, which is formed by scaling the large logical rectangle according to the above scale; opening the bitmap rcC; clearing the bitmap rcC to the background color; reading a dot matrix The primitive unit rectangle of the graph, the unit rectangle of the primitive is reduced according to the above ratio, and the step is repeated until all the unit unit rectangles are read; the bitmap obtained by the reduction is added to the bitmap rcC to obtain a merge. The global map; and select a position on the global map, and find the sub-image near the selected position. The image synthesizing method according to claim 5, wherein the step of calculating a large logical rectangle comprises: acquiring a height and a width of a bitmap; and reading a coordinate coordinate of a coordinate file corresponding to a central coordinate of the bitmap; The central coordinate unit is a unit of size; the central coordinate is converted into a unit of the primitive; the unit rectangle of the bitmap is constructed; the above steps are repeated until all the bitmaps are read; all the primitives obtained above are obtained The unit rectangles are merged to get a large logical rectangle. The image synthesizing method according to claim 5, wherein the large logical rectangle is a rectangle capable of containing all of the primitive unit rectangles while achieving the smallest area. The image synthesizing method according to claim 5, wherein the reduction ratio is equal to a larger value of a/c and b/d, wherein a and b are length and width of a large logical rectangle; c and d is the length and width of the rectangle of each primitive unit.