JPH01303132A - Picture processor - Google Patents

Abstract

PURPOSE:To extract and display the statistical value and the contour line of picture data by setting the range of the pixel value of a picture and an area to be displayed, binarizing the picture data and an area, obtaining a common point for both with an OR arithmetic means and retrieving and displaying only the continuous point. CONSTITUTION:The OR of the picture data binarized by a pixel value range stored in a memory 6 and the data binarized by the inside and outside of the set area stored in a memory 7 is obtained in an OR circuit 8, and stored into a memory 9. The data having the continuous position of the pixel out of data stored in the memory 9 are retrieved by a continuous point retrieving device 10 and the contour line of the picture data is extracted from a contour line extracting device 12. The picture data composed of the continuous point of the output of the continuous point retrieving point device 10 are read from a picture memory 1, the statistical value such as an average value, the area and the standard deviation is calculated in a statistical value calculating device 11, the statistical value of the picture data obtained at a display device 13 is displayed and the contour line is displayed.

Description

DETAILED DESCRIPTION OF THE INVENTION (Industrial Application Field) The present invention relates to an image processing device that causes a display device to display images of only consecutive pixels having numerical data in a predetermined range from a predetermined range of image data.

(Prior Art) In an image processing device for displaying data obtained from an X-ray tomography device, an ultrasonic diagnostic device, etc., conventionally, there is a function of calculating statistical values of a region defined on an image, and There was a function to display only pixels in a predetermined numerical value range in white.

(Problem to be solved by the invention) However, when a lesion has pixel values (values of data on an image) within the range of numerical values, how far does the lesion spread and its statistical value? When you want to know what the pixel value is, if you use the former statistical value function to find the statistical value, you will not be able to specify the range of pixel values.

Furthermore, if the spread of the latter lesion is determined, it is not possible to designate the area and calculate statistical values, making it impossible to use it effectively.

The present invention has been made in view of the above-mentioned points, and its purpose is to search for consecutive pixels and to select only those consecutive pixels, excluding pixels that are far apart from among the pixels within the numerical range within the region. The object of the present invention is to realize an image processing device having a function of clarifying the spread of a lesion by whitening it and calculating statistical values of pixels belonging to the range of the spread.

(Means for Solving One Problem) The present invention to solve the above problem provides an image processing device that displays images on a display device of only consecutive pixels having numerical data in a predetermined range from image data in a certain range. , an image data storage means for storing a plurality of image data; a setting means for setting a range of numerical values of the image data to be displayed and an area on the image; an image binarization device that binarizes image data within a set numerical range to 1 and image data outside the range to O;
an area/inside/outside binarization unit that binarizes the area within the area set by the setting unit to 1 and the area outside the area to O; A logical product calculation means for calculating the logical product of output data to obtain image data within a set numerical range within a set area, and a continuous point search means for calculating only image data at a position connected to a predetermined or designated position of image data. a calculation means for calculating statistical values of image data from the image storage means in the range obtained by the continuous point search means; and a contour line for determining the contour of the data in the range obtained by the continuous point search means. The apparatus is characterized in that it comprises a drawing means.

(Function) Set the range of pixel values of the image and the area to be displayed, binarize the image data and the area, use the AND calculation means to find the points common to both, and only the consecutive points among the above points. Search and view. It is also possible to extract and display statistical values and contour lines of image data composed of continuous points.

(Example) Hereinafter, an example of the present invention will be described in detail with reference to the drawings.

FIG. 1 is a block diagram of one embodiment of the present invention.

In the figure, 1 is an image storage device that can store a plurality of image data, and a setting device 2 is also an image binarization device 3.
The numerical range of the image data to be displayed is set as q, and the area where the image is to be displayed on the inside/outside area binarization device 4 and the starting point of the continuous inspection cylinder, which will be explained in detail later, are set. Image 2
The value conversion device 3 converts the image data input from the image storage device 1 into “1” and “O” based on the set numerical value of the image data.
Based on the set area, the area inside/outside binarization device 4 binarizes the area by setting the inside of the line indicating the area to 1'' and setting the outside to ``O''. 6 is a memory for storing the binarized data from the image binarization device 3, and 7 is a memory for storing the binarized data from the inside/outside area binarization device 4. 8 is the binarized data of the image data from the memory 6 and the memory 7
2 (an AND circuit that performs an AND operation on the DI data for each image pixel;
is stored in 10 is a continuous point retrieval device that searches for consecutive points with a value of 1 "1" in each image pixel stored in the memory 9 and sets them as 1", and sets isolated points as 0"; Average value, area,
A statistical value calculation device calculates statistical values such as standard deviation, and 12 is a contour extraction device that extracts the contour of the continuous area. The display device 13 displays image data belonging to a continuous area in white, and also displays contour lines and statistical values. In the figure, solid lines indicate the flow of image data, and dotted lines indicate the flow of control by the control device 5 to control the flow of data.

Next, the operation of the apparatus configured as described above will be explained with reference to flowchart 1 in FIG.

Step 1 Display the image data stored in the image storage device 1 on the display device 13 as a setting screen.

Step 2 The setting device 2 inputs the range of numerical values of pixels to be displayed in white to the image binarization device 3. For example, CT number 95
Input from 0 to 1000.

Step 3: The setting device 2 sets an approximate area on the screen displayed on the display device 12 that includes the part to be finally displayed. This setting is performed, for example, by using a cursor.

Step 4 Image data is read from the image storage device 1 by the control device 5, and if it is the first time, the process proceeds to step 5.

From the second time onward, proceed to step 6.

Step 5 Read out all image data for each pixel from the image storage device 1, and if the pixel value is within the pixel value range set in step 2, the image data is
If it is outside the range, it is binarized as 0''.

For example, image data d is binarized as follows.

d<950. d > 1000...i
t Otr950≦d≦1000...Pa1
The binarized data is stored in the memory 6.

Step 6 When the pixel indicated by the read address of the image storage device 1 from the control device 5 is inside the area set in step 3, it is set as ``1'', and when it is outside the area, it is set as 2.
Value. The results are stored in memory 7.

Step 7 An AND circuit performs the logical product of the image data binarized by the pixel value range stored in the memory 6 and the data binarized by the outside and outside of the set area stored in the memory 7. Find in 8. The resulting data is stored in memory 9.

Step 8 Among the data as a result of step 7 stored in the memory 9, the continuous point search device 10 searches for data whose pixel positions are consecutive, as will be explained later.

Step 9 The contour of the image data consisting only of the continuous points obtained in Step 8 is extracted using the contour extraction bag @12.

Step 10 Image data consisting of continuous points output from the continuous point search device 10 is read out from the image storage device 1, and statistical values such as the average value, its area, and standard deviation are calculated in the statistical value calculation device 11.

Step 11 Display the statistical values of the image data obtained in step 19 on the display device 13.

Step 12: Input whether or not to display the outline from the setting device @2.

Step 13 If the outline is to be displayed, go to Step 14; if not, go back to Step 3.

Step 14 The outline is displayed on the display device 13.

Repeat steps 3 and onwards until you are instructed to finish.
It ends with a termination instruction.

The search operation performed by the continuous inspection electrical equipment @10 in step 8 will be explained. As shown in FIG. 3, the continuous point search device 10 finds continuous points from a bitmap A'' of the AND of the given image data and area data and the starting point set by the setting device 2. This is a device that creates a bitmap B'' with all other points set to O. The continuous points here refer to 8 adjacent points as shown in FIG. That is, points P1 to P8 with respect to Po. Further, as shown in FIG. 5, a square at a distance of 1 from the starting point Pa is designated as St, and a square at a distance of l11n is designated as Sn.

The operation of the continuous point search device 10 will be explained using the bitmap shown in FIG. 6 as an example. In Figure 6, each point is indicated by x, y coordinates, and 11 x 11 points are the points with the value "1". In the figure, the 0 point indicates the starting point, and the X point indicates the point with the value "1". Figure 6 (a) shows the bitmap A'' of the logical product of image data and area data and the starting point P(5,5>
It is shown.

(1) First, start point P(5,5>
is set to 1''. Here, the bitmap B'' is a bitmap created from the starting point P (5, 5) of the bitmap ``△゛° and a continuous point of 1'' as ``1''''.

(2) Next, in the bitmap 17 A TT, set the 8 adjacent points to the starting point (a) clockwise from the point to the left of the starting point in the figure, P (4, 5), P (4, 4, >).

P (5,4>, P (6,4>, P (6,5).

P (6, 6) P (5, 6) P (4, 6) are examined in the order of ``Go'', then the corresponding point in the bit map ``B'' is 1 as shown in Figure 6 (B). ”.

3) Next, examine the 8 adjacent points of the starting point in bitmap B in a clockwise direction from the point to the left of the starting point in the diagram. If II 1 ++ is found, bitmap A '' to look at the 8 adjacent points of that point. If there is a point with 1 pass, set the corresponding point in bit map 'B' to 11111. The procedure is shown below.

■ In bitmap “B”, P(4,5> is 1
'', so we look at its 8 neighbors in bitmap A''.

Since there is no point that can be newly set to 1'' in the 8 neighboring points of P(4,5), proceed to the next point.

■ Bitmap "B II P (4, 4> is II O
11, so there is no search for 8 neighbors.

■ Since P(5, 4> of bitmap 'B'° is 1'', search for 8 neighbors in bitmap 'A'. P(5,
Since there is no new point in the 8-neighborhood of 4), proceed to the next point.

■ Looking at P(6,4) of bit map B'', the point P(7,5) is discovered as a new point 1'',
Let P(7,5) of the bitmap it 8 ++ be 1''.

■ Similarly, P (6, 5), P (6, 6).

A search is made for P (5,6>, P (4,6>), and the results shown in FIG. 6(C) are obtained.

■ Now that we have finished searching for square S1, we will investigate square S2. Check clockwise, ゛1''
If we look at the 8 neighbors of the point P(7,5> in Figure (A), we see P(8,5).

Since P(8,6> is 1", set the corresponding point of bitmap B" to "1". In addition, there is (L I
Since there is no point 11, step 82 is ended. ((D) of FIG. 6) ■ In FIG. 6(D), search is made for the square S3. There are no 8 neighbors of point P(8,5>.P(8,6>
P(8,7) is found on square S3 as the 8 neighbor of . If all the points up to square S2 are continuous, then the point on square S3 should have been found when square S2 was examined. If a point that should have already been found is found as a new point, the search is performed again using the continuous point search device 10 using that point as the starting point.

This is called a recursive call.

■ With P(8,7> as the starting point, P(
8, 7) to the value 1'' with bitmap B''. Then examine the 8 neighbors. As a result (E), a pitch [-
A map B"' is obtained.

■ Expand the squares one after another as described above, and end when no new points can be added after one rotation.

As described above, it is now possible to display only continuous image data within a certain numerical range and within a specified area in white, and to display their statistical values together. You will be able to display the outline.

Note that the present invention is not limited to the above embodiments. Although 8 adjacent points were used for continuous point search using a continuous point search device, 8
Four adjacent points (upper, lower, left, right) may be used, excluding the diagonal points from the adjacent points.

(Effects of the Invention) As explained in detail above, according to the present invention, it is now possible to know the spread of consecutive points and their statistical values, so it is possible to know the spread of a lesion such as a tumor, Statistical values such as area, average value, standard deviation, etc. can be known, which has a great practical effect.

[Brief explanation of the drawing]

FIG. 1 is a block diagram of an embodiment of the present invention, FIG. 2 is a flowchart of the operation of the device of this embodiment, FIG. 3 is a schematic explanatory diagram of the operation of the continuous point search device, and FIG. 4 is a continuous point search device. An explanatory diagram of 8 adjacent points used in a search. FIG. 5 is an explanatory diagram of the continuous point search method, and FIG. 6 is an explanatory diagram of the bitmap creation method in the continuous point search. 1... Image storage device 2... Setting device 3...
Image binarization device 4... Area inside/outside binarization device 5...
・Control device 6.7.9...Memory 8...
AND circuit 10... continuous point search device 11...
・Statistical value measuring device 12...contour extraction device 13...
・Display device Fig. 3 Fig. 4 Fig. 5 Fig. 21 Fig. (a)

Claims (1)

[Claims] In an image processing device that displays images on a display device of only consecutive pixels having numerical data in a predetermined range from image data in a predetermined range, an image data storage means for storing a plurality of pieces of image data and an image to be displayed are provided. A setting means for setting a numerical value range of data and an area on the image, and binarizing image data in the set numerical range to 1 and image data outside the range to 0 based on the numerical range setting value by the setting means. an image binarization means for binarizing the area within the area set by the setting means to 1 and the area outside the area to 0; and output data of the image binarization means. logical product calculation means for obtaining image data within a set numerical range within the set area by calculating the logical product of the output data of the above-mentioned area and outside binarization means; and an image located at a position connected to a predetermined or specified position of image data. continuous point retrieval means for obtaining only data; calculation means for calculating statistical values of image data from the image storage means in the range obtained by the continuous point retrieval means; An image processing device comprising: contour drawing means for obtaining a contour line of data.