JP2002077468A - Quality checking method for image data and computer- readable recording medium with quality check program recorded thereon - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a quality checking method for image data which automatically checks the quality of one or more pieces of image data, according to parameters that a user set and a computer-readable recording medium. SOLUTION: Scanner image data, stored in a storage device 17, are image data read in by a scanner 14. A CPU part 15 checks the scanner image data 17a, according to an image data quality check program. Namely, an operator is urged to input set values by check items of a quality check on the scanner image data 17a through an input device 13. Then the quality of the scanner image data 17a is checked according to the inputted set values. Check results of scanner image data 17a, which do not pass the quality check, are outputted in a table form.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for checking the quality of digitized image data used when digitizing drawings and the like by using a scanner or the like, and a computer-readable recording medium storing a quality check program. It is.

[0002]

2. Description of the Related Art Conventionally, when checking the quality of one or a plurality of image data, image data is displayed on a screen one by one using a commercially available application, and the quality is checked visually.

[0003]

As described above, the quality check of the conventional image data is performed by displaying the image data one by one on a screen and visually checking the image data. Had to spend a lot of time and effort.

The present invention has been made in consideration of the above-described circumstances, and has a method of automatically checking the quality of one or a plurality of image data based on a set value set by an operator. And a computer-readable recording medium on which a quality check program is recorded.

[0005]

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and the invention according to claim 1 is a method for checking the quality of image data by using one or more quality check methods. A process of specifying a plurality of image data, a process of inputting a set value for each check item for performing a quality check whether the specified image data is image data of a desired format, and based on the input set value,
It is characterized by comprising a process of checking the quality of image data, a process of separating and storing image data stored in a desired format and image data that is not, and a process of outputting a classification result in a table format. And

[0006] The invention described in claim 2 is the invention according to claim 1.
In the method for checking the quality of image data, the check item is a resolution of the image. According to a third aspect of the present invention, in the image data quality checking method according to the first or second aspect, the check item is an electronic drawing size represented by the length and width of the electronic drawing. It is characterized by. Also,
According to a fourth aspect of the present invention, in the image data quality checking method according to any one of the first to third aspects,
The check item is a compression format of the image data. According to a fifth aspect of the present invention, in the image data quality checking method according to any one of the first to fourth aspects, the check item is an image aspect ratio.

[0007] The invention according to claim 6 is the invention according to claim 1.
6. The image data quality check method according to claim 5, wherein the check item is a file size of the image data, and the set value of the file size is obtained by performing statistical processing of a certain number or more of image data. The set value is set based on the calculated standard deviation. According to a seventh aspect of the present invention, there is provided the image data quality checking method according to any one of the first to sixth aspects, wherein in the entire electronic drawing, black pixels are all white pixels around the black pixels. It is characterized by having a process of detecting a black pixel as dust on an electronic drawing.

[0008] The invention described in claim 8 is the first invention.
8. A method for detecting quality of image data according to any one of claims 7 to 7, wherein the processing of detecting the density information of the image of the image data and the processing of calculating the ratio of the area of the intermediate density to the entire drawing based on the density information. And a process for detecting whether or not the ratio exceeds a preset threshold value to detect blurring of the electronic drawing.

[0009] The invention according to claim 9 is the first invention.
A recording medium for recording a quality check program for realizing the image data quality check method according to any one of claims 8 to 10.

[0010]

DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing the configuration of the present embodiment. In FIG.
Reference numeral 1 denotes a computer, for example, a CRT (Catho)
de Ray Tube), a display device 12 such as a liquid crystal display device, an input device 13 such as a keyboard or a mouse, and a scanner 14 for reading and digitizing drawings and the like.
Is connected. Next, the configuration inside the computer 11 will be described below. The CPU (central processing unit) 15
This is control means for controlling the inside of the computer 11. The image data quality check program 16 prompts the operator to input a set value for each check item for image quality check, performs a quality check of the image data read by the scanner 14 based on the set value, and uses the usable image data ( This is a program that separates image data that passed the quality check) from unusable image data (image data that failed the quality check) and outputs a list of rejected unusable image data. The storage device 17 stores scanner image data 1 which is digitized data of a drawing read by the scanner 14.
7a, usable image data 17b separated by the image data quality check program 16, and unusable image data 17c are stored. Although not shown, the scanner image data 17a is a type of drawing (for example, a front view,
(For example, side view).

Next, the operation of the embodiment having the above-described configuration will be described with reference to the flowcharts shown in FIGS. 2 and 3 and FIGS. 4, 5, 6, and 7. First, the drawings are read by the scanner 14 by type, and the scanner image data 17a is stored under the directory of the drawing type. Here, a drawing (a drawing handled in the present embodiment) read by the scanner 14 will be described with reference to FIG. The drawing is printed on a sheet 41 having a size conforming to a general sheet size standard such as A1, A2, A3, etc., and is provided with a drawing frame 42 2-3 cm inside from the edge of the sheet. Features. If the type of drawing is the same, the paper size is also the same.

Next, an operator who checks the quality of the image data starts the image data quality check program 16 by operating the input device 13, and thereafter, the CPU unit 15 uses the image data quality check program 16 as follows. Execute the process. First, the operator selects a directory to store scanner image data 17a of one or a plurality of drawings read by the scanner 14 to be checked. Next, quality check is set for the scanner image data 17a selected by the operator. At this time, since a directory is created according to the type of the original drawing and the type of image data (hereinafter, referred to as an image type) is separated, setting values are set for the image types, respectively. A specific setting example is shown below.
Is a display example of the set value input table 51 displayed on the display device 12. The operator sets the setting values of “data resolution”, “drawing size”, “paper size”, “file compression format”, and “aspect ratio”, which are check items for checking the quality of the scanner image data 17a. Setting column 5
2, 53, 54, 55, and 57 are input from the input device 13. As described above, the check setting value of the scanner image data 17a is set. (Step S1). In the “file size”, a set value in consideration of the standard deviation is input to the setting column 56 at the time when the scanner image data 17a of a certain number or more is statistically processed and the standard deviation is obtained.

Next, the CPU section 15 determines whether the directory in which the scanner image data 17a to be checked is stored and whether or not the setting of each setting value is correctly performed. "N" in "Can image data be checked?" (Step S2)
The process proceeds to “O” and repeats the determination in step S2 until “YES” is reached, and the determination in step S2 is “YES”.
Is reached, the CPU section 15 acquires header information from the header section in which information on the image data is stored in each of the scanner image data 17a (step S3). Note that the data resolution, paper size, and file compression format can be obtained from the header information. next,
The CPU unit 15 compares the set value set in step S1 with the drawing size and aspect ratio calculated by extracting the header information of the scanner image data 17a and the outer frame data of the drawing obtained in step S3 (step S3).
4). Next, the CPU unit 15 compares each set value with each data value corresponding to the set value, classifies whether each data is within the set value, and outputs the result as a CSV (Comma).
The file is output as a file in a table format such as a Separate Value format, and at the same time, a CSV format file display screen 71 shown in FIG. 7 is displayed on the display device 12 ((Step S
5).

Here, the processing in step S4 will be described in detail with reference to FIG. 3 which is a flowchart. The CPU unit 15 determines the image type of the scanner image data 17a from information obtained from the header information (the file name is also included in the header information) and checks whether there is no mistake in the image type to be checked (S4a). Next, the CPU unit 15 performs a quality check of the scanner image data 17a in the following check items shown in the setting value input table 51 of FIG. By comparing the set value with the extracted data on the resolution of the scanner image data 17a, it is checked whether the image is read by the scanner 14 at the desired resolution (step S4b). The drawing frame 42 shown in FIG. Is extracted, and is set as a drawing size (vertical and horizontal lengths of the drawing), and the extracted data is compared with a set value to check whether the image data is image data of a desired drawing size (step). S4c). Regarding the paper size, the scanner image data 17a
It is checked whether or not a desired paper size is designated by comparing the extracted data with the set value (step S4).
d). With respect to the file compression format, it is checked whether the desired file compression format is designated by comparing the set value with the data extracted from the scanner image data 17a (step S4e). When the input direction of the sheet is distorted when reading the scanner, as shown in FIG. 6, the electronic drawing when the read scanner image data 17a is displayed on the display device 12 has a tilted drawing frame 61. At this time, assuming that the ratio of A: B shown in FIG. 6 is the aspect ratio of the inclined drawing frame 61, the aspect ratio of the drawing frame 61 is not normal.
Will be different from the aspect ratio. Using the above,
As to the aspect ratio, it is checked whether the data is read by the scanner 14 at a desired aspect ratio by comparing the extracted data with the set value from the scanner image data 17a (step S4f).

Next, the CPU unit 15 sequentially performs statistical processing of the file size (data capacity of image data) on the image data subjected to the processing of S4b to S4e.
The standard deviation is calculated when the total number of statistically processed image data exceeds a certain number. Based on this standard deviation value, the set value of the deviation of “file size” is set value input table 5 shown in FIG.
1 is set in the setting column 56. After the setting, the setting value is compared with the file size of the actual image data and a check is performed (step S4g). A file in the CVS format is output, listing the file names of the scanner image data 17a that failed as a result of the above check, the check items that failed, and their values. At the same time, a CSV format file display screen 71 shown in FIG.

Next, a selection is made as to whether to end the image data check operation (step S6). If "NO", the process returns to the step S2, a directory of another image type is designated, and the scanner image data 17a in the directory is designated.
Start a quality check on. If “YES”, the process ends.

Although not shown in the flowchart, the following processing is also performed when processing each file in step S4. For example, when dust is attached to the drawing when the image is read by the scanner 14, in the electronic drawing in which the created image data is displayed on the display device 12, the portion where the dust is attached to the original drawing becomes a black point. There is. In such a case, the black point in the electronic drawing is detected based on the characteristics of the black point and surrounding pixels shown in FIG. FIG. 8 (a)
When all nine pixels surrounding one black pixel are white pixels, as shown in FIG.
When two or more black pixels are continuous as shown in FIG. By performing the above determination on the entire electronic drawing, a black point (dust on the electronic drawing) is detected.

Further, when the drawing read by the scanner 14 is a drawing represented by binary values of black and white, that is, a drawing having no gray area having an intermediate value of shading, the processing of each file in step S4 is performed. By detecting the shading in the image data, the blur of the image can be checked. For example, in the vertical line shown in FIG. 9A in the original drawing, when the scanner 14 is not properly operated and blurred image data is created, the image data in the electronic drawing when the image data is displayed on the display device 12 is displayed. Are vertical blurred lines shown in FIG. 9B. Compared with the vertical line in the original drawing shown in FIG. 9A, the density of the vertical line in the blurred electronic drawing shown in FIG. Among the shades, there is an increase in the area of intermediate shades.
As described above, the ratio of the area of the intermediate shade to the entire drawing is calculated, and it is detected that the image is blurred when the ratio exceeds a certain value.

The image data quality check program 16 shown in FIG. 1 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read and executed by a computer system. 16 may be started. Here, the “computer system” includes an OS and hardware such as peripheral devices. The “computer-readable recording medium” means a portable medium such as a floppy (registered trademark) disk, a magneto-optical disk, a ROM, a CD-ROM, and a storage device such as a hard disk built in a computer system. . Further, the “computer-readable recording medium” refers to a volatile memory (RAM) inside a computer system that becomes a server or a client when a program is transmitted through a network such as the Internet or a communication line such as a telephone line. , For a certain period of time.

The above program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the "transmission medium" for transmitting a program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. Further, the above program may be a program for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient. As described above, the embodiments of the present invention have been described in detail with reference to the drawings. However, the specific configuration is not limited to the embodiments and includes a design and the like within a range not departing from the gist of the present invention.

[0021]

As described above, according to the first aspect of the present invention, in order to digitize a drawing, a quality check method for one or a plurality of image data read by a scanner is attempted. A process of specifying one or a plurality of image data to be processed, a process of inputting a set value for each check item for performing a quality check whether the specified image data is image data of a desired format, and a process of inputting the set value Based on the process of performing a quality check of the image data, the process of separating the image data that passed in the quality check and the image data that is rejected and saving, and the results of the quality check that is rejected in a table format Output processing, it is possible to automatically check a large amount of image data, compared to the conventional case where each was checked visually. , Speed of check processing is much faster, the effect is obtained that also eliminates mistakes due to an oversight can occur in the case of a visual.

According to the second aspect of the present invention, since the set value is the resolution of the image, the effect of automatically and quickly checking the resolution of the image can be obtained. According to the third aspect of the present invention, in the electronic drawing displayed on the display device based on the image data, the set value is an electronic drawing size represented by the length and width of the electronic drawing. Thus, the effect that the size of the image can be automatically and quickly checked can be obtained.
According to the invention described in claim 4, the set value is:
Since the compression format of the image data is used, an effect that the compression format of the image can be automatically and quickly checked can be obtained.

According to the fifth aspect of the present invention, since the set value is the aspect ratio of the electronic drawing, it is possible to automatically check whether the image has been read from the scanner in a state where the image is automatically tilted quickly. Is obtained. According to the invention described in claim 6, the check item is a file size of the image data, and the set value of the file size is a standard deviation calculated by performing statistical processing of a certain number or more of image data. Automatically and quickly checks the file size of the image by using the set values based on it, and detects clearly larger or smaller file sizes compared to other image files, that is, abnormal image data The effect that can be obtained is obtained.

According to the seventh aspect of the present invention, when a drawing is read by a scanner, dust is attached to the drawing. If there is a black point of the dust in the electronic drawing, the black point of the dust is detected. By having the processing, it is possible to automatically detect a black point quickly and further, to automatically correct a black point due to dust, or to read a drawing again by a scanner to obtain an electronic drawing without black points. So
There is an effect that higher quality image data can be obtained. According to the invention described in claim 8, when the electronic drawing is a blurred image, the process of detecting the density information of the image of the image data and the ratio of the area of the intermediate density to the entire drawing based on the density information And the process of detecting the blur of the electronic drawing by determining whether the ratio exceeds a preset threshold value enables automatic detection of the blur of the electronic drawing quickly and further, the quality of the blur. By performing the process of replacing the poor image data with non-blurred image data read by the scanner again, there is an effect that higher quality image data can be obtained.

[Brief description of the drawings]

FIG. 1 is a block diagram showing an overall configuration of an image data quality check system according to an embodiment of the present invention.

FIG. 2 is a flowchart showing an operation of the image data quality check system shown in FIG. 1;

FIG. 3 is a flowchart showing the operation of the image data quality check system shown in FIG. 1; FIG. 3 is a flowchart showing details of step S4 in FIG. 2;

FIG. 4 is a diagram showing features of the drawing read by the scanner 14 in the embodiment shown in FIG.

5 is a diagram showing a display example of a setting value input table displayed on the display device 12 in the embodiment shown in FIG.

FIG. 6 is a diagram showing a display example of an electronic drawing displayed on the display device 12 in the embodiment shown in FIG.

FIG. 7 is a diagram showing a display example of a CVS format file displayed on the display device 12 in the embodiment shown in FIG.

FIG. 8 is a diagram showing characteristics of black spots and other parts in the electronic drawing displayed on the display device 12 in the embodiment shown in FIG.

9 is a diagram showing a display example and shading when the electronic drawing of the drawing to be read by the scanner 14 and the drawing to be displayed on the display device 12 are blurred in the embodiment shown in FIG.

[Explanation of symbols]

 Reference Signs List 11 computer 12 display device 13 input device 14 scanner 15 CPU unit 16 image data quality check program 17 storage device 41 drawing paper 42 drawing frame 51 setting value input table 52, 53, 54, 55, 56, 57 setting column 61 electronic drawing 62 Drawing frame 71 CSV format file display screen

 ──────────────────────────────────────────────────続 き Continued on the front page (72) Inventor Takashi Otani 3-19-2 Nishi Shinjuku, Shinjuku-ku, Tokyo East Japan Nippon Telegraph and Telephone Corporation (72) Inventor Takashi Kawamoto 3 Babacho, Chuo-ku, Osaka-shi, Osaka No. 15 Nishi Nippon Telegraph and Telephone Corporation (72) Inventor Yoshiyuki Kitagawa 3-15 Babacho, Chuo-ku, Osaka-shi, Osaka F-term in Nishi Nippon Telegraph and Telephone Corporation (reference) 5C062 AA01 AB02 AB17 AB24 AB41 AC02 AC05 AC61 AC67 AC72 AE04 AF00

Claims (9)

[Claims] In a quality check method for one or a plurality of image data read by a scanner, a process of designating one or a plurality of image data to be quality-checked; A process of inputting a set value for each check item for performing a quality check of whether the image data is in a format, a process of performing a quality check of the image data based on the input set value, and a pass of the quality check. A quality check of image data characterized by comprising a process of separating and storing the certain image data and the failed image data, and a process of outputting a result of the failed quality check in a tabular form. Method. 2. The method according to claim 1, wherein the check item is an image resolution. 3. An electronic drawing displayed on a display device based on the image data, wherein the check item is an electronic drawing size represented by a vertical and horizontal length of the electronic drawing. 3. The quality check method for image data according to claim 2. 4. The image data quality checking method according to claim 1, wherein the check item is a compression format of the image data. 5. The image data quality checking method according to claim 1, wherein the check item is an aspect ratio of the electronic drawing. 6. The check item is a file size of the image data, and the set value of the file size is set based on a standard deviation calculated by performing statistical processing of the image data of a certain number or more. The image data quality check method according to claim 1, wherein the quality check value is a set value. 7. The electronic device according to claim 1, further comprising: a process of detecting, as dust on the electronic drawing, the black pixels in a portion in which all of the black pixels are white pixels around the black pixels. Item 7. The quality check method for image data according to any one of Items 6. 8. A process for detecting shading information of an image of the image data, a process for calculating a ratio of an intermediate shading region to the entire drawing based on the shading information, and determining whether the ratio exceeds a preset threshold. 8. The quality check method for image data according to claim 1, further comprising a process of detecting a blur of the electronic drawing by making a determination. 9. A computer-readable recording medium on which a quality check program for realizing the function according to claim 1 is recorded.