CN114724520B - Luminance self-adaptive adjustment method for gray-scale medical image - Google Patents
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- 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
- G09G3/3406—Control of illumination source
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- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- 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
- G09G3/36—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 using liquid crystals
- G09G3/3607—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 using liquid crystals for displaying colours or for displaying grey scales with a specific pixel layout, e.g. using sub-pixels
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- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/06—Adjustment of display parameters
- G09G2320/0626—Adjustment of display parameters for control of overall brightness
- G09G2320/0646—Modulation of illumination source brightness and image signal correlated to each other
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses a brightness self-adaptive adjustment 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 categories of images to be processed according to the pixel analysis data, wherein the categories of the images to be processed are classified into gray-scale medical images and non-gray-scale medical images; and outputting a control instruction to the display device according to the category of the image to be processed so as to adjust the backlight brightness of the display device. 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, so that the backlight brightness of the display device is adjusted in a targeted manner, and the problems that the backlight brightness is too high, the eye health is easily damaged, the power consumption of the display device is increased, the endurance of the mobile display device is reduced and the like when the common color image is watched due to single brightness display are avoided.
Description
Technical Field
The invention relates to a brightness self-adaptive adjustment method of a gray-scale medical image, belonging 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, geological disasters and the like, medical workers expect more convenient office equipment so as to read medical image detection data of patients in home, in the road and even in isolated places.
Compared with the common display device, the medical professional display device not only has higher resolution, higher brightness and higher contrast, but also has a gray scale display correction function conforming to the DICOM (Digital Imaging and Communications in Medicine: digital imaging and communication in medicine) standard, so that the human eye can recognize each fine gray scale change, namely, each gray scale of an image can be accurately presented to medical workers.
In practical use, the prior medical professional display equipment has single backlight brightness, is relatively high and is 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 user's eyes are damaged when the backlight brightness is too high for a long time, and the power consumption of the display device is increased, so that the duration of the battery 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 of ordinary skill in the art.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a brightness self-adaptive adjustment method for a gray-scale medical image, which solves the problems that the backlight brightness is too high, the eye health is easily damaged, the power consumption of a display device is increased, the endurance of the mobile display device is reduced and the like when a common color image is watched due to 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 adjustment 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 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 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 row data, and the pixel row 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 pixel rows, the number of pixel points of 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 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, defining the pixel point as a gray scale point;
if the number of gray scale points of a pixel row is not smaller than a preset first threshold value, defining the gray scale row of the pixel row.
Further, the total number of gray scale points of the image to be processed is obtained, the ratio of the total number of gray scale points to the total number of pixel points is calculated, and the ratio is compared with a preset second threshold value;
if the ratio of the total number of gray scale points to the total number of 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 smaller than a second threshold value, analyzing the gray scale line data of the image to be processed.
Further, gray scale values of pixel points of gray scale lines are obtained, and the number of the pixel points corresponding to each gray scale value is counted;
the two gray scale values corresponding to the largest number of pixels are a first gray scale value and a second gray scale value, respectively, and if the ratio of the sum of the numbers of pixels corresponding to the first gray scale value and the second gray scale value of one gray scale line to the number of pixels of the gray scale line is smaller than a preset third threshold value, the gray scale line is a gray scale medical image line.
Further, the gray scale value is not less than 0 and not more than 255.
Further, acquiring the line number of the gray-scale medical image lines of the image to be processed, calculating the ratio of the line number of the gray-scale medical image lines to the total line number, and comparing the ratio with a preset fourth threshold;
if the ratio of the number of lines of the gray-scale medical image lines to the total number of lines is not smaller than a fourth threshold, the class of the image to be processed is the gray-scale medical image;
if the ratio of the number of lines of the gray-scale medical image lines to the total number of lines is smaller than the fourth threshold, the type of the image to be processed is a non-gray-scale medical image.
Further, according to the category of the image to be processed, a control instruction is output to the display equipment 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 display equipment so as 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 so as to reduce the backlight brightness of the display equipment.
Compared with the prior art, the invention has the beneficial effects that:
the self-adaptive brightness adjustment method for the gray-scale medical image can analyze 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 device according to the image type. When a user watches the gray-scale medical image, the gray-scale medical image is automatically adjusted to be high in backlight brightness to ensure the accuracy of detail display of the image; when a user watches a non-gray-scale medical image, the brightness of the backlight is automatically adjusted to be lower, so that the damage of the backlight of the display device to eyes of the user is reduced, the power consumption of the display device can be reduced, and the cruising ability of the mobile display device is prolonged.
The invention has low operation complexity, small resource expense, only needs to process pixel by pixel, has small dependence on other data when processing single pixel, has small hardware resource expense on the whole, has simple key path, is convenient for hardware realization and practical application, has good practicability, meets the medical image browsing requirement of doctors, and provides convenience for the doctors.
Drawings
FIG. 1 is a flow chart of a method for adaptively adjusting the brightness of a gray scale medical image;
fig. 2 is a schematic diagram of a gray scale medical image:
fig. 3 is a schematic diagram of a grayscale text line.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
Examples
The embodiment provides a brightness self-adaptive adjustment method of 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 categories of images to be processed according to the pixel analysis data, wherein the categories of the images to be processed are classified into gray-scale medical images and non-gray-scale medical images;
and outputting a control instruction to the display device according to the category of the image to be processed so as to adjust the backlight brightness of the display device.
The technical conception of the invention is as follows: by analyzing the pixel data, gray scale points, gray scale lines and gray scale medical image lines are defined, so that an image to be processed is identified, the image to be processed is divided into a gray scale medical image and a non-gray scale medical image, and the backlight brightness of the display device is adjusted according to different image categories.
When a user watches the gray-scale medical image, the gray-scale medical image is automatically adjusted to be high in backlight brightness to ensure the accuracy of detail display of the image; when a user watches a non-gray-scale medical image, the brightness of the backlight is automatically adjusted to be lower, so that the damage of the backlight of the display device to eyes of the user is reduced, the power consumption of the display device can be reduced, and the cruising ability of the mobile display device is prolonged.
The method comprises the following specific steps:
1. pixel data of an image to be processed is acquired.
The pixel data of the image to be processed is constituted by a plurality of pixel row data constituted by a plurality of pixel dot 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 includes a total number of pixel points 2073600, a total number of pixel rows 1080, a number of pixel points 1920 of each pixel row, an R-channel component value, a G-channel component value and a B-channel component value of each pixel point, and a gray scale value of each pixel point.
2. And obtaining pixel analysis data of the image to be processed according to the pixel data.
In order to improve the detection efficiency without losing generality, first, each pixel is detected and counted according to components of three RGB channels.
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; and vice versa for color points. For example, in YCbCr space, the pixel points with cb=cr=0 are gray-scale points, and the others are color points.
Considering that the gray-scale image content is a regular area, a rectangular window is commonly used, and the pixel data is formed by a plurality of pixel row data, so that the prior knowledge is used for carrying out statistics row by row and pixel by pixel.
If the number of gray-scale points of a pixel row is not less than the preset first threshold 1536, defining the pixel row gray-scale line. The first threshold may be fixed, for example 1536 in this embodiment, or may be adaptively adjusted according to the image resolution or user-defined.
Counting the pixel points after detection is completed, obtaining the total number of gray scale points of an image to be processed, calculating the ratio of the total number of the gray scale points to the total number of the pixel points, and comparing the ratio with a preset second threshold value of 0.8;
if the ratio of the total number of gray scale points to the total number of pixel points is smaller than the second threshold value of 0.8, the class 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 smaller than the second threshold value 0.8, analyzing the gray scale line 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 path or user-defined.
The gray level line data of the image to be processed is analyzed, and the specific steps are as follows:
each gray level row is composed of a plurality of pixel points, and each pixel point has a corresponding gray level value, namely, one gray level value corresponds to 0, 1 or more 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;
the two gray scale values corresponding to the maximum number of the pixels are a first gray scale value and a second gray scale value respectively, and if the ratio of the sum of the numbers of the pixels corresponding to the first gray scale value and the second gray scale value of one gray scale line to the number of the pixels of the gray scale line is smaller than a preset third threshold value of 0.6, the gray scale line is 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 path or set by a user in a self-defining manner.
For example, in an 8bit display, 256 different gray scale values of 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 each pixel point are uniformly dispersed 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 two gray-scale values, namely, black and white.
The typical cases are white background and black fonts, in which case the gray level of the white background is 0 and the gray level 255 of the black font will account for a large proportion of the entire gray level line, except for special effects such as tool buttons at the edges of the document area and font shading.
And if the number of the pixels of the two gray-scale values with the largest number of the corresponding pixels in the gray-scale line and the proportion of the total number of the pixels of the whole gray-scale line are smaller than a preset third threshold value of 0.6, the gray-scale line is determined to be a gray-scale medical image line, and otherwise, the gray-scale line is determined to be a gray-scale text line.
Counting each row of the image to be processed by the same method, obtaining the row number of the gray-scale medical image rows of the image to be processed, calculating the ratio of the row number of the gray-scale medical image rows 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 lines of the gray-scale medical image lines to the total number of lines is not smaller than a fourth threshold value of 0.9, the type of the image to be processed is the gray-scale medical image;
if the ratio of the number of lines of the gray-scale medical image lines to the total number of lines is smaller than the fourth threshold value of 0.9, the class of the image to be processed is a 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 path or user-defined.
3. And obtaining the categories of the images to be processed according to the pixel analysis data, wherein the categories of the images to be processed are classified into gray-scale medical images and non-gray-scale medical images.
4. And outputting a control instruction to the display device according to the category of the image to be processed so as 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 the display equipment so as to improve the backlight brightness of the display equipment;
if the type of the image to be processed is a non-gray-scale medical image, a control instruction of low backlight brightness is output to the display equipment so as to reduce the backlight brightness of the display equipment.
The invention has low operation complexity, low resource expenditure, only needs to process the pixel by the comparator and the counter, has small dependence on other data when processing the single pixel, has small hardware resource expenditure on the whole, has simple key path, is convenient for hardware realization and practical application, and has good practicability. The color liquid crystal display can be used for adaptively adjusting the backlight brightness of the gray-scale medical image and the non-gray-scale medical image, so that the system integration level is improved, the energy consumption is reduced, the damage to eyes of a user is reduced, the medical image browsing requirement of a doctor is met, and convenience is brought to the doctor.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and variations could be made by those skilled in the art without departing from the technical principles of the present invention, and such modifications and variations should also be regarded as being within the scope of the invention.
Claims (3)
1. A brightness self-adaptive adjustment method of a gray-scale medical image 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 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;
outputting a control instruction to display equipment according to the category of the image to be processed so as to adjust the backlight brightness of the display equipment;
the pixel data of the image to be processed consists of a plurality of pixel row data, and the pixel row data consists 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 pixel rows, the number of pixel points of each pixel row, an R channel component value, a G channel component value, a B channel component value and a gray scale value of each pixel point;
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 a pixel row is not smaller than a preset first threshold value, defining the gray scale row of the pixel row;
acquiring the total number of gray scale points of an image to be processed, calculating the ratio of the total number of gray scale points to the total number of pixel points, and comparing the ratio with a preset second threshold;
if the ratio of the total number of gray scale points to the total number of pixel points is smaller than a second threshold value, the category of the image to be processed is a non-gray scale medical image;
if the ratio of the total number of gray scale points to the total number of pixel points is not smaller than a second threshold value, analyzing gray scale line data of the image to be processed;
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;
the two gray scale values corresponding to the largest number of pixels are a first gray scale value and a second gray scale value respectively, and if the ratio of the sum of the numbers of pixels corresponding to the first gray scale value and the second gray scale value of one gray scale line to the number of pixels of the gray scale line is smaller than a preset third threshold value, the gray scale line is a gray scale medical image line;
acquiring the line number of gray-scale medical image lines of an image to be processed, calculating the ratio of the line number of the gray-scale medical image lines to the total line number, and comparing the ratio with a preset fourth threshold;
if the ratio of the number of lines of the gray-scale medical image lines to the total number of lines is not smaller than a fourth threshold, the class of the image to be processed is the gray-scale medical image;
if the ratio of the number of lines of the gray-scale medical image lines to the total number of lines is smaller than the fourth threshold, the type of the image to be processed is a non-gray-scale medical image.
2. The method for adaptively adjusting the brightness of a gray-scale medical image according to claim 1, wherein the gray-scale value is not less than 0 and not more than 255.
3. The method for adaptively adjusting the brightness of a gray-scale medical image according to claim 1, wherein a control instruction is output to a display device according to the category of the image to be processed so as 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 so as 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 so as to reduce the backlight brightness of the display equipment.
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