CN114724520A - Self-adaptive brightness adjustment method for gray-scale medical image - Google Patents
Self-adaptive brightness adjustment method for gray-scale medical image Download PDFInfo
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- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
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- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
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Abstract
The invention discloses a brightness self-adaptive adjusting method of a gray scale medical image, which comprises the following steps: acquiring pixel data of an image to be processed; obtaining pixel analysis data of an image to be processed according to the pixel data, wherein the pixel analysis data comprises gray scale points, gray scale lines and gray scale medical image lines; obtaining the category of an image to be processed according to the pixel analysis data, wherein the category of the image to be processed is divided into a gray-scale medical image and a non-gray-scale medical image; and outputting a control instruction to the display equipment according to the category of the image to be processed so as to adjust the backlight brightness of the display equipment. According to the invention, the image to be processed is divided into the gray-scale medical image and the non-gray-scale medical image by analyzing the pixel data, and the backlight brightness of the display equipment is adjusted in a targeted manner, so that the problems that the backlight brightness is too high when a common color image is watched, the eye health is easily damaged, the power consumption of the display equipment is increased, the cruising of the mobile display equipment is reduced and the like caused by single brightness display are solved.
Description
Technical Field
The invention relates to a brightness self-adaptive adjusting method of a gray-scale medical image, and belongs to the technical field of medical display equipment.
Background
Under the development of the mobile internet, in consideration of global trends and irresistible factors such as epidemic situations, bad weather, and geological disasters, medical workers desire more convenient office equipment to read medical image detection data of patients at home, on the way, or even in isolated places.
Compared with common display equipment, the medical professional display equipment not only has higher resolution, higher brightness and higher contrast, but also has a gray scale display correction function which conforms to DICOM (Digital Imaging and Communications in Medicine) standard, so that human eyes can recognize each slight gray scale change, namely, each gray scale of an image can be accurately presented to medical workers.
In practical use, the existing medical professional display equipment is single in backlight brightness, relatively high and inconvenient to adjust. When displaying gray-scale medical images, the display device needs to have higher backlight brightness, for example, above 400 nit; however, when other non-gray-scale medical images are displayed, high backlight brightness is not necessary, and the long-term use of the high backlight brightness can damage the eyes of users and increase the power consumption of the display device, so that the battery endurance is reduced.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a brightness self-adaptive adjusting method for gray-scale medical images, which avoids the problems that the backlight brightness is too high when a common color image is watched, the eye health is easily damaged, the power consumption of display equipment is increased, the cruising range of mobile display equipment is reduced and the like caused by single brightness display.
In order to solve the problems, the invention is realized by adopting the following technical scheme:
the invention discloses a brightness self-adaptive adjusting method of a gray scale medical image, which comprises the following steps:
acquiring pixel data of an image to be processed;
obtaining pixel analysis data of an image to be processed according to the pixel data, wherein the pixel analysis data comprises gray scale points, gray scale lines and gray scale medical image lines;
obtaining the category of an image to be processed according to the pixel analysis data, wherein the category of the image to be processed is divided into a gray-scale medical image and a non-gray-scale medical image;
and outputting a control instruction to the display equipment according to the category of the image to be processed so as to adjust the backlight brightness of the display equipment.
Further, the pixel data of the image to be processed is composed of a plurality of pixel line data, and the pixel line data is composed of a plurality of pixel point data;
the pixel data of the image to be processed comprises the total number of pixel points, the total number of rows of the pixel lines, the number of pixel points of each pixel line, an R channel component value, a G channel component value, a B channel component value and a gray scale value of each pixel point.
Further, if the R channel component value, the G channel component value and the B channel component value of a pixel point are equal, the pixel point is defined as a gray-scale point;
if the number of gray-scale points of one pixel row is not less than a preset first threshold value, the pixel row is defined as a gray-scale row.
Further, acquiring the total number of gray scale points of the image to be processed, calculating the ratio of the total number of the gray scale points to the total number of pixel points, and comparing the ratio with a preset second threshold value;
if the ratio of the total number of the gray-scale points to the total number of the pixel points is smaller than a second threshold, the category of the image to be processed is a non-gray-scale medical image;
and if the ratio of the total number of the gray-scale points to the total number of the pixel points is not less than a second threshold value, analyzing gray-scale line data of the image to be processed.
Further, obtaining gray-scale values of the pixel points of the gray-scale lines, and counting the number of the pixel points corresponding to each gray-scale value;
and if the ratio of the sum of the pixel numbers corresponding to the first gray scale value and the second gray scale value of one gray scale line to the pixel number of the gray scale line is less than a preset third threshold, the gray scale line is taken as a gray scale medical image line.
Further, the gray scale value is not less than 0 and not more than 255.
Further, acquiring the number of rows of the gray-scale medical image rows of the image to be processed, calculating the ratio of the number of rows of the gray-scale medical image rows to the total number of rows, and comparing the ratio with a preset fourth threshold value;
if the ratio of the number of rows of the gray-scale medical image rows to the total number of rows is not less than a fourth threshold, the category of the image to be processed is the gray-scale medical image;
and if the ratio of the number of the rows of the gray-scale medical image to the total number of the rows is less than a fourth threshold, the category of the image to be processed is a non-gray-scale medical image.
Further, according to the category of the image to be processed, outputting a control instruction to the display device to adjust the backlight brightness of the display device;
if the type of the image to be processed is a gray-scale medical image, outputting a control instruction of high backlight brightness to display equipment to improve the backlight brightness of the display equipment;
and if the type of the image to be processed is a non-gray-scale medical image, outputting a control instruction of low backlight brightness to the display equipment to reduce the backlight brightness of the display equipment.
Compared with the prior art, the invention has the following beneficial effects:
the brightness self-adaptive adjusting method of the gray-scale medical image can analyze the pixel data to identify the image to be processed, divide the image to be processed into the gray-scale medical image and the non-gray-scale medical image, and adaptively adjust the backlight brightness of the display equipment according to the image category. When a user watches the gray-scale medical image, the brightness of the backlight is automatically adjusted to be high so as to ensure the accuracy of image detail display; when a user watches non-gray-scale medical images, the brightness of the backlight is automatically adjusted to be lower, so that the damage of the backlight of the display equipment to the eyes of the user is reduced, meanwhile, the power consumption of the display equipment can be reduced, and the cruising ability of the mobile display equipment is prolonged.
The method has the advantages of low operation complexity, low resource expenditure, only need of processing pixel by pixel, small dependence on other data during single pixel processing, low hardware resource expenditure on the whole, simple key path, convenience for hardware realization and practical application, good practicability, capability of meeting medical image browsing requirements of doctors and convenience for the doctors.
Drawings
FIG. 1 is a flow chart of a brightness adaptive adjustment method for gray scale medical images;
FIG. 2 is a schematic illustration of a gray scale medical image:
FIG. 3 is a schematic diagram of a line of gray-scale text.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Examples
The embodiment provides a brightness adaptive adjustment method for a gray-scale medical image, as shown in fig. 1, including:
acquiring pixel data of an image to be processed;
and obtaining pixel analysis data of the image to be processed according to the pixel data, wherein the pixel analysis data comprises gray-scale points, gray-scale lines and gray-scale medical image lines.
Obtaining the category of an image to be processed according to the pixel analysis data, wherein the category of the image to be processed is divided into a gray-scale medical image and a non-gray-scale medical image;
and outputting a control instruction to the display equipment according to the category of the image to be processed so as to adjust the backlight brightness of the display equipment.
The technical conception of the invention is as follows: the method comprises the steps of defining gray scale points, gray scale lines and gray scale medical image lines by analyzing pixel data so as to identify an image to be processed, dividing the image to be processed into the gray scale medical image and a non-gray scale medical image, and adjusting backlight brightness of display equipment according to different image categories.
When a user watches the gray-scale medical image, the brightness of the backlight is automatically adjusted to be high so as to ensure the accuracy of image detail display; when a user watches non-gray-scale medical images, the brightness of the backlight is automatically adjusted to be lower, so that the damage of the backlight of the display equipment to the eyes of the user is reduced, meanwhile, the power consumption of the display equipment can be reduced, and the cruising ability of the mobile display equipment is prolonged.
The method comprises the following specific steps:
firstly, pixel data of an image to be processed is obtained.
The pixel data of the image to be processed is composed of a plurality of pixel line data, and the pixel line data is composed of a plurality of pixel point data. In this embodiment, the resolution of the display device is 1920 × 1080, where 1920 is the number of pixels per pixel row, 1080 is the number of pixel rows of the image to be processed of the display device, and the total number of pixels of the image to be processed is 2073600.
The pixel data of the image to be processed comprises the total number 2073600 of pixels, the total number 1080 of pixel rows, the number 1920 of pixels in each pixel row, the R channel component value, the G channel component value, the B channel component value and the gray scale value of each pixel.
And secondly, obtaining pixel analysis data of the image to be processed according to the pixel data.
In order to improve the detection efficiency without loss of generality, each pixel point is firstly detected and counted according to components of three channels of RGB.
If the R channel component value, the G channel component value and the B channel component value of one pixel point are equal, defining the pixel point as a gray-scale point; the opposite is the color point. If the pixel points of Cb = Cr =0 are converted into YCbCr space, the gray-scale points are the pixel points, and the others are color points.
Considering that the gray-scale image content is a regular area, a rectangular window is commonly used, the pixel data is composed of a plurality of pixel line data, and the prior knowledge is used for counting pixel by pixel line by line.
If the number of gray-scale points in a pixel row is not less than the predetermined first threshold 1536, the pixel row is defined as a gray-scale row. The first threshold may be fixed, for example 1536 in this embodiment, or may be adaptively adjusted according to the resolution of the image or may be set by a user.
After the detection is finished, the pixel points are counted to obtain the total number of the gray scale points of the image to be processed, the ratio of the total number of the gray scale points to the total number of the pixel points is calculated, and the ratio is compared with a preset second threshold value of 0.8;
if the ratio of the total number of the gray-scale points to the total number of the pixel points is less than a second threshold value of 0.8, the category of the image to be processed is a non-gray-scale medical image;
and if the ratio of the total number of the gray-scale points to the total number of the pixel points is not less than 0.8 of the second threshold, analyzing the gray-scale data of the image to be processed.
It should be emphasized that the second threshold may be fixed, for example, 0.8 in this embodiment, or may be adaptively adjusted according to the image resolution or set by a user.
Analyzing gray scale line data of an image to be processed, and specifically comprising the following steps of:
each gray-scale line is composed of a plurality of pixel points, and each pixel point has a corresponding gray-scale value, namely one gray-scale value corresponds to 0, 1 or a plurality of pixel points.
Acquiring gray-scale values of pixel points of gray-scale lines, and counting the number of the pixel points corresponding to each gray-scale value;
and if the ratio of the sum of the pixel numbers corresponding to the first gray scale value and the second gray scale value of one gray scale line to the pixel number of the gray scale line is less than a preset third threshold value of 0.6, the gray scale line is taken as a gray scale medical image line. The third threshold may be fixed, for example, 0.6 in this embodiment, or may be adaptively adjusted according to the image resolution or set by a user.
For example, in an 8-bit display, 256 gray scale values of different levels from 0 gray scale to 255 gray scale can be displayed. In the gray-scale medical image shown in fig. 2, the gray-scale values of the pixels are uniformly distributed between 0 and 255. In the gray-scale text image shown in fig. 3, the gray-scale values of the pixels are generally concentrated on black and white gray-scale values.
The typical case is white background and black font, in this case, except the tool button at the edge of the document area and special effects such as font shadow, the gray scale value of the white background is 0, and the gray scale value 255 of the black font will occupy most of the whole gray scale row.
In view of the difference in the distribution of the gray-scale values of the pixels of the two gray-scale images, if the ratio of the number of the pixels of the two gray-scale values with the largest number of corresponding pixels in the gray-scale line to the total number of the pixels in the entire gray-scale line is less than the preset third threshold value of 0.6, the gray-scale line is determined as a gray-scale medical image line, otherwise, the gray-scale medical image line is determined as a gray-scale text line.
Counting each row of the image to be processed by the same method, acquiring the row number of the gray-scale medical image row of the image to be processed, calculating the ratio of the row number of the gray-scale medical image row to the total row number, and comparing the ratio with a preset fourth threshold value of 0.9;
if the ratio of the number of the rows of the gray-scale medical image to the total number of the rows is not less than a fourth threshold value of 0.9, the category of the image to be processed is a gray-scale medical image;
and if the ratio of the number of the rows of the gray-scale medical image to the total number of the rows is less than the fourth threshold value 0.9, the category of the image to be processed is the non-gray-scale medical image.
It should be emphasized that the third and fourth thresholds may be fixed, or may be adaptively adjusted according to the image resolution or may be user-defined.
And thirdly, obtaining the category of the image to be processed according to the pixel analysis data, wherein the category of the image to be processed is divided into a gray-scale medical image and a non-gray-scale medical image.
And fourthly, outputting a control instruction to the display equipment according to the category of the image to be processed so as to adjust the backlight brightness of the display equipment.
If the type of the image to be processed is a gray-scale medical image, outputting a control instruction of high backlight brightness to the display equipment to improve the backlight brightness of the display equipment;
and if the type of the image to be processed is a non-gray-scale medical image, outputting a control instruction of low backlight brightness to the display equipment to reduce the backlight brightness of the display equipment.
The invention has low operation complexity and low resource cost, only needs the comparator and the counter to process pixel by pixel, has small dependence on other data when processing a single pixel, has low hardware resource cost on the whole, has simple key path, is convenient for hardware realization and practical application, and has good practicability. The backlight brightness can be adaptively adjusted aiming at the gray-scale medical image and the non-gray-scale medical image by utilizing the color liquid crystal display, so that the system integration level is improved, the energy consumption is reduced, the damage to the eyes of a user is reduced, the medical image browsing requirement of a doctor is met, and convenience is provided for the doctor.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (8)
1. A brightness self-adaptive adjusting method of gray-scale medical images is characterized by comprising the following steps:
acquiring pixel data of an image to be processed;
obtaining pixel analysis data of an image to be processed according to the pixel data, wherein the pixel analysis data comprises gray scale points, gray scale lines and gray scale medical image lines;
obtaining the category of an image to be processed according to the pixel analysis data, wherein the category of the image to be processed is divided into a gray-scale medical image and a non-gray-scale medical image;
and outputting a control instruction to the display equipment according to the category of the image to be processed so as to adjust the backlight brightness of the display equipment.
2. The adaptive brightness adjustment method for gray-scale medical images according to claim 1, wherein the pixel data of the image to be processed is composed of pixel row data, and the pixel row data is composed of pixel point data;
the pixel data of the image to be processed comprises the total number of pixel points, the total number of rows of the pixel lines, the number of pixel points of each pixel line, an R channel component value, a G channel component value, a B channel component value and a gray scale value of each pixel point.
3. The adaptive brightness adjustment method for gray-scale medical images according to claim 2,
if the R channel component value, the G channel component value and the B channel component value of a pixel point are equal, defining the pixel point as a gray-scale point;
if the number of gray-scale points of one pixel row is not less than a preset first threshold value, the pixel row is defined as a gray-scale row.
4. The adaptive brightness adjustment method for gray-scale medical images according to claim 3, wherein the total number of gray-scale points of the image to be processed is obtained, and the ratio of the total number of gray-scale points to the total number of pixel points is calculated and compared with a preset second threshold;
if the ratio of the total number of the gray scale points to the total number of the pixel points is smaller than a second threshold value, the category of the image to be processed is a non-gray scale medical image;
and if the ratio of the total number of the gray scale points to the total number of the pixel points is not less than a second threshold value, analyzing gray scale row data of the image to be processed.
5. The adaptive brightness adjustment method for gray-scale medical images according to claim 3, wherein gray-scale values of the pixels in the gray-scale rows are obtained, and the number of pixels corresponding to each gray-scale value is counted;
and if the ratio of the sum of the pixel numbers corresponding to the first gray scale value and the second gray scale value of one gray scale line to the pixel number of the gray scale line is less than a preset third threshold, the gray scale line is taken as a gray scale medical image line.
6. The adaptive brightness adjustment method for gray-scale medical images according to claim 5, wherein the gray-scale value is not less than 0 and not more than 255.
7. The adaptive brightness adjustment method for grayscale medical images according to claim 5, wherein the number of rows of grayscale medical image rows of the image to be processed is obtained, the ratio of the number of rows of grayscale medical image rows to the total number of rows is calculated and compared with a preset fourth threshold;
if the ratio of the number of rows of the gray-scale medical image rows to the total number of rows is not less than a fourth threshold, the category of the image to be processed is the gray-scale medical image;
and if the ratio of the number of the rows of the gray-scale medical image to the total number of the rows is less than a fourth threshold, the category of the image to be processed is a non-gray-scale medical image.
8. The adaptive brightness adjustment method for gray-scale medical images according to claim 1, wherein a control command is output to a display device to adjust the backlight brightness of the display device according to the type of the image to be processed;
if the type of the image to be processed is a gray-scale medical image, outputting a control instruction of high backlight brightness to display equipment to improve the backlight brightness of the display equipment;
and if the type of the image to be processed is a non-gray-scale medical image, outputting a control instruction of low backlight brightness to the display equipment to reduce the backlight brightness of the display equipment.
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