JPS62222371A - Image processor - Google Patents

Abstract

PURPOSE:To easily and efficiently segment a complex graphic by selecting two different segment methods according to the fact that whether the position of as coordinates inputted by a coordinate input means is a specific area displayed in a white color or not. CONSTITUTION:The output of a combined use memory 15 storing a image and label information is converted by a look-up table 16, and displayed on a display 19. At that time, according to a threshold inputted from a threshold input means 11 the contents in the memory 16 are modified to make a target area distinguished in a white color. Then coordinates are inputted through the coordinate input means 21. When said coordinates are within said white area, label information in the white area including these coordinates is modified to '1': otherwise, the operation enters a closed curve graphic input mode, and label information in said white area within an area surrounded by inputted closed curves is modified to '1'. Finally label information is segmented in an area of '1'.

Description

DETAILED DESCRIPTION OF THE INVENTION <Industrial Application Field> The present invention relates to an image processing apparatus having a function of cutting out a desired area.

<Prior art> Area extraction refers to the process of color changing, copying, or
This refers to extracting the above-mentioned specific portion from an image for the purpose of performing various processing such as movement conversion and rotation, and various area extraction methods have been proposed in the past, some of which have been put into practical use.

As an image processing apparatus that performs such area cutting, the present invention proposes the following.

That is, this image processing device includes an image memory that stores the characteristic level of each pixel of the original image to be processed, a display that displays the image based on data stored in the image memory, and a display that displays the image based on the data stored in the image memory.
A threshold input means for inputting a desired threshold value regarding the characteristic level, and a display or non-display relationship for the three characteristic levels based on the threshold signal from the threshold 1 input means. and a look-up table memory for converting the characteristic level signal into a display or non-display signal according to the comparison table. The signals are supplied to the lookup table memory to be converted into display or non-display signals, and the converted signals from the lookup table memory are sequentially input to a display to display images extracted sequentially from the converted pixels. That's what I do.

For example, this image processing device processes r+, rt: g+, gz for an image memory color-separated into RGI3.
: bl.

By setting two thresholds for each color of h and setting the lookup table to display brightly only the range between each threshold, all RGI3 color information is included within the threshold. The image area to be captured is displayed in white on the display, and the target area within the displayed white area is specified using the coordinate input means to perform the cropping process. You can check whether it has been cut out using the white color, and you can interactively set the threshold to the optimal value.
Since the image is extracted using a color threshold, even complex shapes can be easily extracted. As an example, Fig. 4(a) shows an original drawing of three red apples, Fig. 4(b) shows an example in which the threshold is set appropriately and the red area is displayed in white, and Fig. 4(C) shows one of the three red apples. This shows how one is selected using the coordinate input means.

<Problems to be Solved by the Invention> However, in the conventional image processing device described above, since areas displayed in white are specified in order using coordinate input means, the kimono shown in FIG. 4(d) When the areas to be cut out are scattered finely, such as in a pattern, it is very time-consuming to specify them one by one.

Therefore, an object of the present invention is to make it possible to easily and efficiently extract υ even if the regions to be cut out are finely scattered.

Means for Solving the Problems> The image processing device of the present invention has the dual function of storing density information of each pixel constituting an image and label information indicating whether an area is cropped or not. a memory, a threshold input means for inputting a desired threshold value regarding density information, a coordinate input means for inputting predetermined coordinates in an image, and a threshold value input means for inputting a desired threshold value regarding density information; a lookup table memory that transforms the input information from the bipedal memory according to the "bipedal lookup table"; a display means for displaying an image based on the output of the foot lookup table memory; and a display means for displaying an image based on the output of the lookup table memory; a determination means for determining whether or not the designated coordinates are included; and a determination means for determining whether or not the specified coordinates are included; a rewriting means for rewriting label information of the specific area included in the closed curve area specified by the coordinate input means when the coordinates specified by the coordinate input means are not included in the two-leg specific area; The area to be extracted is displayed in a specific color in advance, and when a target area is selected from among the specific areas displayed in the specific color using coordinate input means 1 and cutting is performed, the input coordinates are The feature is that the clipping method is changed depending on whether or not the image is within a specific area displayed in a specific color.

<Operation> For example, rl, rt: g++g in three lookup table memories corresponding to three RGB dual-purpose memories.
z: Define two threshold values for each color of b and bt,
Suppose you want to set it so that only the range between each threshold is displayed brightly. An image area in which all of the RGB color information is within the threshold value is temporarily displayed on a display in a specific color, for example, white, to make sure that it is a specific area to be cut out. After that, specify using the coordinate input means and cut out 1. Process.

At this time, if the input coordinate point is determined by the determination means to be within a specific area displayed in white, the label information of the connected specific area including that coordinate point is rewritten by the 1F rewriting means to perform cutting. do.

Therefore, even complex shapes can be easily cut out.

On the other hand, if the input coordinate point is outside the biped specific area, f
If it is determined that there is another method, a closed curve is input, and the label information of a specific area included in the closed curve area is rewritten using the rewriting means to perform the cutting, so it is possible to cut out finely scattered areas at once. I can do it.

In this way, in the image processing device of the present invention, two different cropping methods can be selected using the same coordinate input means, simply depending on whether or not the coordinate entry point is a specific area displayed in white. Cutting work can be performed easily and efficiently.

<Example> Hereinafter, the present invention will be explained in detail using specific examples.

FIG. 1 shows a device equipped with a dual-purpose memory I5 of 8 bits each for RGB. This dual-purpose memory 15 stores density information constituting an image and label information indicating whether an area is cropped or not. The dual-purpose memory 15 mentioned above is the bus 14
The information is accessed by the microprocessor 13 including a determining means and a rewriting means. The output of the dual-purpose memory I5 is connected to the address of the lookup table memory [6], and the output of the lookup table memory I6 is connected to the D/A converter I8 via the gate circuit 17. In this example, the output of lookup table memory 16 is R
Each GB is 8 bits (O~255).

Further, the output (video analog signal) of the D/A converter 18 is sent to a display 19, where an image is displayed.

Next, the operation of this image processing apparatus will be explained.

First, an image is input into the dual-purpose memory I5 using a camera, an RV camera, or the like. At this stage, it is assumed that the dual-purpose memory 15 stores 8 bits of information for each of RGB for each dot. Next, as an example, the upper 7 bits of the 111 memory 15 are used for image information, and the lower 1 bits are used for label information regarding area extraction. Normally, the density information of an image only needs to be about 6 bits at the first place, so there is no practical problem even if the lower 1 bit is set for label information. It
G [3 Density information i for each color can be taken in the range of 0≦i<27, label information can be taken in the range of fi=o, l,!
-〇 is before cutting out, Jl=1h<cutting completed, and in the label information, the city where cutting is to be performed, IIG[3, and all 0s are written using the microprocessor I3. Further, each RGB lookup table memory 16 inputs the input of the lookup table memory 16 as x=2xi' +
l', the output f'r(x).

Set ``g(x)'' and ``b(x)'' to be as follows.

If i'<Ki and L'=0, rk(x)=
O...(1) K, ≦i'≦, and! In the case of '-〇, rk(x) = 255 ・--(2),
<i' Katsu! ′−〇, ``k(x)=
O...(3)! '-1, fk(x)-x (4)
Here, k is a substitute for r, g, and b. Also, kl
, L(r+, rt: g+, Fh: b, b
y) are six threshold values input by the threshold input means 11. With this setting, the area before cutting out where all the color information of It G +3 is within the threshold value is shown in white on the display 19.

Next, while looking at this display, you can specify the location to cut out, and the coordinates (xo, y
o) is input, and the determining means determines whether all the color information of the input coordinates (xo, yo) is within the threshold value or not, and the cutting method is changed.

First, if all of the above color information is within the threshold, that is, if you input coordinates within an area displayed in white, the input coordinates are used as the starting point and the color Information is threshold r+, rt: g+,
g2: Find the point contained in bIl, b2, and change the label information flj I- to r? G [Write all 3 tigers, change from 0 to 1 with the \ exchange o L stage.

-) j, Ij G B's lust? Invasion Izui 1 Kaga 1. Outside the threshold - In this case, the closed curve figure input mode is entered and a closed curve is input using the subsequent coordinate input. There are various methods for inputting this closed curve, including the following, but it is best to use any of them.

Example I) Next input coordinate points (X,, Y,) and (XO.

Input a rectangle whose diagonal is YU).

Example 2) Next input coordinate point (X I+ Y 1), (
Input an n-gon whose vertices are X 2° Y, )・(Xn, Yn).

Here, a method can be considered in which n is predetermined as 3 or 11, or the end of the closed curve input mode can be input by inputting 4-
For example, there is a method that allows you to increase n by 6 by providing an input means such as a button.

As described above, as soon as the closed curve input is completed, the white display area included in the closed curve, the color information is
The label information of the specific area within each threshold range is rewritten from 0 to 1 by a rewriting means, and the specific area is cut out.

The above process will be explained using FIG. 2. Figure 2 (la)
is a case where the input coordinate point (x, , Y o) is within the white display area, and a continuous white display area including that point is cut out as shown in FIG. 2 (Ib). On the other hand, the second
Figure (2a) shows the case where the input coordinate point (x,, y o) is outside the white display area, and as shown in Figure 2 (2b), the closed curve input mode is entered, and as shown in Figure 2 (2c). When the closed curve input is completed, the white display area within the closed curve is cut out.

The above extraction procedure is summarized in a flowchart and shown in FIG.

In step 31, an image is input to the dual-purpose memory 15.

In step 32, the lower number pits of the dual-purpose memory 15 are set for storing label information, and that portion is rewritten to zero.

Step 33 is a branch to change the threshold value, execute extraction (4), or terminate.

Step 34 is a threshold value input by the threshold value input means 11.

Step 35 modifies the lookup table according to the input threshold. Steps 34 and 35 are then repeated, and the threshold value is set so that the target area is highlighted in white.

Step 36 is the input of coordinate values by the coordinate input means 21.

Step 37 is a step for determining whether the color information of the input coordinate point is within or outside the threshold value range.

In step 38, cutting is performed using the input coordinates as a starting point.

Step 39 is the input of a closed curve, and snap 40 cuts out an area within the area surrounded by the closed curve input in step 39 where the color information is within the threshold range.

In the above embodiment, the threshold value input means and the coordinate input means are provided separately, but a threshold value input graph is displayed on the display, and the coordinate input means (which also serves as the threshold value input means) is used to input the threshold value. You may want to enter a value. In addition, in equation (4), the area that has been cropped (7) is set to be displayed in the original image, but it may be displayed in another color as long as it can be distinguished from the area before cropping. In the above embodiment, a case is shown in which the Rahel information f[3 is set to the I bit, but it is possible to increase the number of bits and add a plurality of labels to the cutout area.

In addition, in the embodiment described above, the process of cutting out for the first time was explained, but if there is already a cut out area within the closed curve area, it is possible to not perform any processing on that cut out area. There are two possible processes: canceling the extraction and restoring the state before extraction, but -4'' may also be used.

<Effects of the Invention> As is clear from the following, the image processing device of the present invention is compatible with three dual-purpose memories that store density information and label information separated into R(,+3). and r+ into three lookup table memories.

r,: g+, g2: Define two threshold values for each color of bl, b2, and set the lookup table to each threshold value to make the range as bright as 4". Depending on the situation, I?G +1 lust + la or basket)
- Display the image area included within the threshold value on the display in a specific color, for example white, and after imagining and confirming the specific area to be cut out, specify it using the coordinate input means. If the input coordinate point is determined to be within a specific area displayed in white by the determining means, the label information of the connected white display area including that coordinate point is rewritten by the rewriting means. In order to perform cutting by changing the
Complex shapes are also ffti! It can be cut to li by -4゛. On the other hand, if the determining means determines that the input coordinate point is outside the white display area described in 1-, the label information of the specific area displayed in white that is included within the closed curve area where the closed curve was input is rewritten and the label information is changed to 1-stage. Since it is rewritten as , and the extraction is executed, it is possible to extract finely scattered areas at once.

In this way, in the image processing apparatus of the present invention, the two 5"D cutting methods can be selected depending on whether or not the location where the coordinates are input using the same coordinate input means is a specific area displayed in white. The cutting operation can be carried out very easily and efficiently.

[Brief explanation of drawings]

Fig. 1 is a block diagram of an embodiment of the present invention, Fig. 2 is a diagram illustrating region extraction in the above embodiment, Fig. 3 is a flowchart of the above embodiment, and Fig. 4 is region extraction in the conventional example. FIG. II-...Threshold input means, 12...Main storage device,
13...Processor, 14...Data bus, 15...
Dual-purpose memory, +6... Lookup table memory,
17...Gate circuit, 1...D/A converter, 19
...Display device, 20.. Gate circuit for reading and writing lookup table, 21.. Coordinate input means. Patent applicant: Sharp Corporation Agent
Patent attorney, above, 2 idiots, 4th ward, Figure 2 (la) (lb) (2a)
(2b) (2c) Figure 3

Claims (2)

[Claims] (1) A dual-purpose memory for storing density information of each pixel constituting an image and label information indicating whether an area is cropped or not, and a memory for inputting a desired threshold value regarding the density information. a threshold input means; a coordinate input means for inputting predetermined coordinates in the image; and a look for converting the density information from the dual-purpose memory based on the threshold input from the threshold input means. a lookup table memory that defines a lookup table and converts the input information from the dual-purpose memory according to the lookup table; a display means that displays an image based on the output of the lookup table memory; and the threshold value input. determined by the threshold value entered in the means,
determining means for determining whether or not the coordinates specified by the coordinate input means are included in a specific area displayed in a specific color; and when the coordinates specified by the coordinate input means are included in the specific area; While rewriting the label information in the dual-purpose memory, when the coordinates specified by the coordinate input means are not included in the specific area, the label information of the specific area included in the closed curve area specified by the coordinate input means is rewritten. The area to be cut out is displayed in advance in a specific color, the target area is selected from the specific areas displayed in the specific color using the coordinate input means, and the cutting is performed by rewriting the area. An image processing apparatus characterized in that when carrying out the extraction, a cutting method is changed depending on whether or not input coordinates are within a specific area displayed in a specific color. (2) In the image processing apparatus according to claim 1, the means for rewriting the label information is configured when coordinates are input by the coordinate input means outside the specific area displayed in the specific color. , and if there is a cut-out area within the closed curve area, the label information is rewritten to remove the cut-out area from the cut-out area and return it to the state before cutting out. Image processing device.