JPH0383179A - Image processor - Google Patents

Abstract

PURPOSE:To remove trash in an area in an optional shape while reducing influence upon necessary image data by performing expansion and contraction processing for painting-out data, and using the obtained data as a mask pattern and performing the trash removal through the arithmetic processing of a trash removal processing part. CONSTITUTION:An area of black picture elements obtained by ORing image data in a specified processing area with image data to be processed which are written in an image memory through an input processor 6 is painted out by a painting-out processing part 7. The trash removal processing part 10 performs the specific power arithmetic processing by using the mask pattern obtained by expanding or contracting the painting-out data to generate an image pattern wherein the area to be processed is filled with white picture elements, thus performing the trash removal from the area. Consequently, the trash removable can be performed for an optical closed area, an unnecessary trash image extending from a border line, etc., is also removed, and necessary image data are prevented from being lost.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to an image processing device that removes dark images from image data in an image memory.

[Conventional technology]

FIG. 6 is a block connection diagram showing a conventional image processing device. In the figure, l is an image storage disk, 2 is an image human power device (hereinafter referred to as an image scanner), 3 is a man-machine interface device such as a keyboard, and 4 is a human-machine interface device such as a keyboard.
is a CRT device, 5 is an image memory, 6 is a human processing device, 8
9 is an image processing unit that performs expansion, contraction, etc., and 9 is a CRT display unit.

Further, FIG. 7 shows image data in the image memory before and after dust removal by the image processing device, 51 shows a case where a dust image exists, and 52 shows a case where a dust image is removed.

Next, the operation will be explained according to the flowchart shown in FIG. First, an image input by the image scanner 2 is stored in the image memory 5 or the image storage disk l via the input processing device 6 (step 5T).
II) Here, the image stored in the image storage disk 1 can be written to the image memory 5 by reading it. In this state, the image data 51 in the image memory 5 contains noise caused by input noise and dirt in the drawing, such as isolated points smaller than a predetermined size and unnecessary line segments extending inward from the boundaries of closed regions. The image is the seventh
As shown in Figure (a), there are many.

Next, the area to be processed is determined via the man-machine interface device 3, that is, indicated by a rectangle as shown in FIG. ), the expansion process is carried out (stenbu 5T14).

The processed image of the image memory 5 obtained by such contraction and expansion is as shown in FIG. 7(b). At the same time, image data from the image memory 5 is displayed on the CRT device 4 via the CRT display section 9.

In this case, as a result, dust images have been removed from the contents of the image data 52 in the image memory 5 after processing, but at the same time, the loss of necessary images is unavoidable.

[Problem to be solved by the invention]

Since conventional image processing devices are configured as described above, the range from which dust images are removed is the rectangle specified above or the entire screen, and it is not possible to process only arbitrary closed areas at all. There were problems such as damaging the necessary surrounding image data. It should be noted that a similar description is given in the Mitsubishi Electric System Introduction Catalog and the Mitsubishi Image CAD <GX-3001> system as such a conventional image processing device.

This invention was made to solve the above-mentioned problems.It is possible to remove dust from any closed area, and also remove unnecessary dust images extending from the boundary line, so that necessary image data can be saved. An object of the present invention is to obtain an image processing device that can prevent data from disappearing.

[Means to solve the problem]

In the image processing device according to the present invention, a black pixel area obtained by a logical sum of image data to be processed in an image memory written through an input processing device and image data of a designated processing area is processed by a filling processing unit. The fill data obtained by the fill processing section is expanded and contracted in the image processing section to generate a mask pattern, and the dust removal processing section uses this mask pattern to fill the processing target area with white pixels. This is what I did.

[For production]

The filling processing unit in this invention fills in a closed area created by black pixels determined by the image data to be processed and image data of a processing area specified from the outside, and uses a mask pattern obtained by expanding and contracting this filling data. The dust removal processing unit functions to execute a predetermined exponent arithmetic process, generate an image pattern in which the processing target area is filled with white pixels, and perform dust removal from this area.

[Embodiments of the invention]

An embodiment of the present invention will be described below with reference to the drawings. 1st
In the figure, A is an image data processing unit that processes and performs calculations on image data, and 7 is a logical combination of the image data to be processed in the image memory 5 and the image data with the boundary of the specified processing area surrounded by black pixels. The filling processing unit fills in the inside of the boundary of the closed area created by the black pixels obtained by taking the sum, and the IQ performs an operation to fill the inside of the boundary of the closed area, which is the processing target area, with white pixels using the mask pattern obtained by the image processing unit. This is the dust removal processing section that performs the cleaning. Note that other blocks that are the same as those shown in FIG. 6 are designated by the same reference numerals, and redundant explanation thereof will be omitted.

FIG. 2 shows the image data before and after processing stored in the image memory 5, 11 is the image data before processing, 1
2 indicates image data after processing, and 13 indicates a closed region to be processed.

FIG. 3 depicts the image data in the image memory 5 based on the concept of layers, where 21 is the first brane, 22 is the first brane, 23 is the second brane, 24 is the third brane, 25
is a closed region to be processed, 26 is image data that is filled in the closed region to be processed 25 or image data after shrinkage processing, 27 is image data that is expanded from the filled image data, and 28 is rectangular image data that indicates the processing range It is.

Further, FIG. 4 is a flowchart showing the steps of the burr removal processing, and FIG. 5 shows the contents of the plane of interest during the processing in FIG. 0th brane data developed into the first plane of the image memory 5, 43 is the second brane data developed into the first plane after the filling process, and 44 is the second brain data after the expansion process and contraction process are performed. The second brain data developed into a brain, and 45 indicate the 0th brain data subjected to logical operation processing.

Next, the operation will be explained according to the flowchart shown in FIG. First, an image manually created by the image scanner 2 is transferred to the image memory 5 via the manual processing device 6.
Or stored in the image storage disk l. The image data stored in the image storage disk l can be written to the image memory 5 by reading it. The image data in the image memory 5 in this state contains many dust images due to input noise and dirt on the drawing. Suppose that the image data that has just been manually prepared is prepared in the plane of the image memory 5, and for example, the 0th brain data 4
Assume as in 1. This is the image data preparation process (step 5TI).Next, the man-machine interface device 3 specifies the processing range as a rectangle (
Step 5T2) Draw the rectangular image data 2B shown in FIG. (step 5T4), and then the filling processing unit 7
The black pixel obtained by the logical sum of the brane 21 and the third brane 24 is set as the boundary, and the interior obtained by the closed region instruction in step ST4 is filled, and the filled first brane data 43 is transferred to the first brane 22. Place (Step 5T5)
.

Next, the image processing unit 8 expands the first brane 22 of the image memory 5 and places it on the second brane 23 (step 5T6), and in this state the gaps in the filled data are filled. The number of times of expansion at this time is a parameter related to the size of the garbage data to be removed, and by increasing the number of times, large garbage data can be removed. Next, the image processing section 8
The second brane 23 of the image memory 5 is shrunk and placed on the first brane (step 5T7), and this shrinkage is performed the same number of times as the dilation. The plane data 44 thus obtained becomes as shown in FIG. 5, and is used as a mask pattern. Next, the filling processing unit 7 performs the following calculation (Step 5T8).

O-brane 21←1st plane 228th O-brane 2
1 Through the above calculation, the closed region to be processed is filled with white pixels, and the 0th brain data 45 from which dust has been removed is obtained. Furthermore, as post-processing, the first to third branes 22 to 3
Erase the brain 24 and display the result on the CRT display section 9.
It is displayed on the RT device 4.

As a result, as shown in FIG. 2, the image data 11 before processing becomes image data 12 after processing.

In the above embodiment, the removal of dust images due to noise, dirt, etc. at the time of input has been described, but it can also be used to remove artificially inserted hatching data, and the same effects as in the above embodiment can be achieved.

In addition, by combining the process of inserting hunting data generated inside the computer into the area from which dust images have been removed, it is possible to realize an automatic cleanup function for handwritten hatching data.

Further, in the above embodiment, there is only one closed region designation operation within the image data 28 indicating the processing range;
Similar results can be obtained anywhere within the processing range.

〔Effect of the invention〕

As described above, according to the present invention, the expansion and contraction processes are
It is not performed directly on the input image data, but is performed on the data for filling in the target closed area performed by the filling processing section, and the data obtained by this expansion and contraction processing is used as a mask pattern to perform calculation processing by the dust removal processing section. Since the configuration is configured to perform dust removal by using the above method, there is an effect that dust can be removed from an arbitrarily shaped area while reducing the influence on necessary image data.

[Brief explanation of drawings]

FIG. 1 is a block connection diagram showing an image processing device according to an embodiment of the present invention, FIG. 2 is an explanatory diagram showing image data before and after processing in the image memory in FIG. 1, and FIG. 3 is an explanatory diagram showing image data in the image memory in FIG. FIG. 4 is a flowchart showing the procedure of dust removal processing according to the present invention; FIG. 5 is an explanatory diagram showing the state of the target plane during the processing according to FIG. 4; Fig. 6 is a block connection diagram showing a conventional image processing device, Fig. 7 is an explanatory diagram showing image data before and after processing in conventional processing, and Fig. 8 is a flowchart showing the procedure of conventional dust removal processing. It is. 5 is an image memory, 6 is an input processing device, 7 is a fill processing section, 8 is an image processing section, and 10 is a dust removal processing section. In addition, in the figures, the same reference numerals indicate the same or equivalent parts. Agent Masuo Oiwa Figure 4 Figure 7 (a) Before treatment (b) Phantom, after construction Figure

Claims (1)

[Claims] An image memory into which an image is written through an input processing device, and a fill processing unit that fills in the inside of the boundary of a black pixel area obtained by the logical sum of the image data to be processed in this image memory and the image data of a designated processing area. An image processing unit generates a mask pattern by expanding and contracting the filling data obtained by the filling processing unit a set number of times, and a processing target area is converted into white pixels using the mask pattern obtained by this image processing unit. An image processing device comprising a dust removal processing unit that fills the space.