CN105654909A - Display apparatus and method for controlling same - Google Patents
Display apparatus and method for controlling same Download PDFInfo
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- CN105654909A CN105654909A CN201510823243.XA CN201510823243A CN105654909A CN 105654909 A CN105654909 A CN 105654909A CN 201510823243 A CN201510823243 A CN 201510823243A CN 105654909 A CN105654909 A CN 105654909A
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Abstract
The invention provides a display apparatus and a method for controlling the same. The display apparatus includes: a display panel; a light emitting unit having a plurality of light sources; an acquiring unit acquiring feature values of an input image for divided regions respectively corresponding to the light sources; and a control unit configured to make, in a case where the input image is a first image including a predetermined object image, brightness of light sources corresponding to dark divided regions lower than brightness of light sources corresponding to other divided regions, wherein in a case where the input image is a second image not including the predetermined object image, the control unit does not implement control operation of making the brightness of the light sources corresponding to the dark divided regions lower than the brightness of the light sources corresponding to the other divided regions.
Description
Technical field
The present invention relates to a kind of display unit and control method thereof.
Background technology
In some display unit (such as liquid-crystal display) using backlight, multiple light sources that backlight can be controlled individually respectively by brightness are formed. By according to input picture control each light source brightness and according to the lightness correction input picture of each light source, this display unit can improve display comparison degree (see such as Japanese Unexamined Patent Publication 2008-51905 publication). This technology is called as local dimming. But, the deterioration of the original input picture that image correction may cause the impact by such as quantizing error etc. and cause.
Liquid-crystal display has also been used to X-ray to be explained or mammary X-ray photography (mammography) explanation. In this kind of medical science image viewing, in order to accurate diagnosis, it is desired to as shown original input picture on the spot. But, if display image deteriorates because of image procossing, then cannot realize the display strictly according to the facts of image.
Consider this problem, propose following technology: in the input image, local dimming is only applied to the light source corresponding with the background area not being observed, and is not applied to the light source (see such as Japanese Unexamined Patent Publication 2013-148870 publication) corresponding with the subject area being observed. Therefore, black drift (blackfloating) caused owing to preventing light from leaking from liquid-crystal display in dark background area, therefore such as explains that the viewer of operator etc. can from interference. In addition, owing to preventing the deterioration caused by image procossing in subject area, and as shown input picture on the spot, therefore, it is possible to carry out having the diagnosis of good accuracy.
Summary of the invention
May exist the image outside medical science image be shown and be used in observe medical science image liquid-crystal display on situation. Such as, when showing the image of the operating system (OS) exported from Personal Computer etc., it is possible to be included in dark-background to show the text display area of light tone text. In the technology of Japanese Unexamined Patent Publication 2013-148870 publication, there is following possibility, namely the background of text display area is mistakenly identified as the background of medical science image, and local dimming is applied to text display area. Its result is, the luminance-reduction of the light source corresponding with text display area, and light leaks from the light source with high brightness around text display area, thus causes halation (halo) in text display area. In addition, for the image outside medical science image, even there is the image producer in dark areas, still want to provide the possibility that full gray scale is expressed. But, when the luminance-reduction of the light source corresponding with dark areas, the gray scale expected by the image producer is not successfully displayed in dark areas. As mentioned above, it is necessary, in the prior art, the possibility being disturbed when there is the image of viewer outside display of medical image.
Therefore, the present invention carries out suitable brilliance control according to the type of image, to prevent viewer is disturbed in the display unit of brightness that can control back light according to image alone.
According to the first aspect of the invention, it is provided that a kind of display unit, described display unit comprises:
Display panel;
Luminous unit, it has multiple light source and regulates the brightness of each light source individually;
Acquiring unit, it is constructed to obtain the eigenwert of input picture for the division region corresponding respectively with described multiple light source; And
Control unit, it is constructed to when described input picture is the first image comprising predetermined object images, the brightness of the light source that the division region making to be confirmed as dark areas with the eigenwert based on described each division region is corresponding, lower than the brightness of the light source corresponding with other division regions, wherein
When described input picture is the 2nd image not comprising described predetermined object images, described control unit is not implemented, and makes the brightness of the light source corresponding with the division region being confirmed as described dark areas lower than the control operation with other brightness dividing the corresponding light source in region described.
According to the second aspect of the invention, it is provided that a kind of control method of display unit, described display unit comprises display panel and has multiple light source and regulate the luminous unit of the brightness of each light source individually, and described control method comprises:
For the division region corresponding respectively with described multiple light source, obtain the eigenwert of input picture; And
When described input picture is the first image comprising predetermined object images, implement to make with the eigenwert based on each division region and be confirmed as the brightness of the corresponding light source in the division region of dark areas lower than the control operation with other brightness dividing the corresponding light source in regions, wherein
When described input picture is the 2nd image not comprising described predetermined object images, do not implement to make the brightness of the light source corresponding with the division region being confirmed as described dark areas lower than the control operation with other brightness dividing the corresponding light source in region described.
According to the third aspect of the invention we, it is provided that a kind of display unit, described display unit comprises:
Display panel;
Luminous unit, it has multiple light source and regulates the brightness of each light source individually;
Acquiring unit, it is constructed to obtain the eigenwert of input picture for the division region corresponding respectively with described multiple light source; And
Control unit, its display being constructed in described input picture comprises in the region of the first image of predetermined object images, the brightness of the light source that the division region making to be confirmed as dark areas with the eigenwert based on described each division region is corresponding, lower than the brightness of the light source corresponding with other division regions, wherein
Display in described input picture does not comprise in the region of the 2nd image of described predetermined object images, described control unit is not implemented, and makes the brightness of the light source corresponding with the division region being confirmed as described dark areas lower than the control operation with other brightness dividing the corresponding light source in region described.
According to the fourth aspect of the invention, it is provided that a kind of control method of display unit, described display unit comprises display panel and has multiple light source and regulate the luminous unit of the brightness of each light source individually, and described control method comprises:
For the division region corresponding respectively with described multiple light source, obtain the eigenwert of input picture; And
Display in described input picture comprises in the region of the first image of predetermined object images, implement to make with the eigenwert based on each division region and be confirmed as the brightness of the corresponding light source in the division region of dark areas lower than the control operation with other brightness dividing the corresponding light source in regions, wherein
Display in described input picture does not comprise in the region of the 2nd image of described predetermined object images, does not implement to make the brightness of the light source corresponding with the division region being confirmed as described dark areas lower than the control operation with other brightness dividing the corresponding light source in region described.
According to embodiments of the invention, it is possible to carry out suitable brilliance control according to the type of image, to prevent viewer is disturbed in the display unit of brightness that can control back light according to image alone.
By referring to accompanying drawing to the description of exemplary embodiment, other features of the present invention will become clear.
Accompanying drawing explanation
Fig. 1 shows the function block diagram of the display unit according to the first embodiment;
Fig. 2 A to Fig. 2 D shows the example of medical science image and the example of eigenwert thereof;
Fig. 3 shows the function block diagram of the medical science image detecting element according to the first embodiment;
Fig. 4 shows the example of the attribute determination result according to the first embodiment;
Fig. 5 A to Fig. 5 E shows the example of the image outside medical science image and the example of eigenwert thereof;
Fig. 6 A to Fig. 6 C shows the example of the histogram according to the first embodiment; And
Fig. 7 is the function block diagram of the indicating meter of the variation according to the first embodiment.
Embodiment
(the first embodiment)
Hereinafter, the explanation of embodiments of the invention is provided with reference to the accompanying drawings.
Input picture is divided into multiple region by the display unit of the first embodiment, the eigenwert in each division region of detected image, and determines whether input picture is the image (the first image) comprising predetermined object images from the eigenwert detected. To as if the image of object that such as obtained by radioactive rays or ultrasonic wave, the image comprising object is such as medical science image (interpretation of images) (such as radioscopic image etc.) for explaining. When determining that input picture is medical science image, display unit determines the subject area that the object images (object to be explained) that each division region is predetermined exists or the background area of the background of indicating predetermined object images. Display unit determines to form the brightness of multiple light sources of backlight according to determination result. Therefore, display unit decreases the dark drift components in the background area not being observed in medical science image, and decreases and be disturbed when viewer's (explaining operator etc.) explains the medical science image of display in display unit.
Fig. 1 shows the function block diagram of the display unit according to the first embodiment. As shown in Figure 1, display unit comprises liquid crystal panel portion 1, backlight module section 2, eigenwert detection portion 3, medical science image detection portion 4, attribute determination portion 5, control portion 6 and backlight brightness values determination portion 7.
Liquid crystal panel portion 1 comprises liquid crystal driver, controls control substrate and the liquid crystal panel of liquid crystal driver according to received image signal. Noting, although the first embodiment describes the example using liquid crystal panel as the display panel of the present invention, but display panel is not limited to liquid crystal panel.
Backlight module section 2 comprises light source, controls the pilot circuit of light source and make the optics unit of the light diffusion from light source. Backlight module section 2 has multiple light source, and can regulate the luminosity of each light source individually. Backlight module section 2 is divided into multiple piece corresponding with each light source that brightness can be controlled individually, and determines the brightness of each block by backlight brightness values determination portion 7. The pilot circuit of backlight module section 2 controls the luminescence of each light source so that the brightness that each light source is determined according to backlight brightness values determination portion 7 and light. Block-based division number is m (width) �� n (length) (wherein m and n is integer). In the first embodiment, it is assumed that backlight module section 2 is divided into 10 (width) �� 7 (length) blocks. Additionally, it is assumed that the region in the liquid crystal panel portion 1 corresponding with each block (division region) has 20 (width) �� 20 (length)=400 pixels. The number of the block of the division of backlight module section 2 can include but not limited to above-mentioned number.
Input picture is divided into the region (division region) corresponding with each piece of backlight module section 2 by eigenwert detection portion 3, and detects the eigenwert in each division region. The eigenwert detected is sent to medical science image detection portion 4 and the attribute determination portion 5 of next stage by eigenwert detection portion 3. In the first embodiment, the detection of eigenwert detection portion 3 forms the maximum value of gray-scale value (rgb value) of the pixel dividing region, mean value and bright area value (brightareavalue), as the eigenwert in each division region. Herein, bright area value consists of counting to divide region and do not distinguish among the pixel of RGB, the have predetermined threshold value quantity of pixel of gray-scale value of (the 6th threshold value) or bigger, and the value obtained. In the first embodiment, input picture has the gray-scale value of 0 to 4095, and the pixel of the gray-scale value with 60 or bigger is counted as bright pixels. That is, the 6th threshold value is set to 60. Use Fig. 2 A to Fig. 2 D is provided specific descriptions. Fig. 2 A shows the example of input picture, and Fig. 2 B, Fig. 2 C and Fig. 2 D show the maximum value of the gray-scale value in each division region of the input picture of Fig. 2 A detected by eigenwert detection portion 3, mean value and bright area value. In Fig. 2 B, Fig. 2 C and Fig. 2 D, the numeral 1 to 10 in horizontal direction and the numeral in vertical direction 1 to 7 show the coordinate in division region in the horizontal and vertical directions. The input picture of Fig. 2 A has the menu bar as graphic user interface (GUI) in region at an upper portion thereof, to form the reader of display of medical image. Menu bar is made up of uniform figure in the horizontal direction. In fig. 2, object 200 is the image of the object obtained by X-ray etc. As shown in Figure 2 B, in the division region at coordinate (4,4) place that object 200 exists, there is maximum value 2560, mean value 2000 and bright area value 1200, as gray-scale value. It is uniform and there is maximum value 1536 and mean value 1536 in the division region at coordinate (4,1) place that menu bar exists due to figure, as gray-scale value, and there is the bright area value of 1200. As the eigenwert in each division region, the maximum value obtained and mean value are sent to medical science image detection portion 4 by eigenwert detection portion 3, and the bright area value obtained is sent to attribute determination portion 5.
Two eigenwerts (maximum value and mean value) that feature based value detection portion 3 detects, medical science image detection portion 4 determines that input picture comprises the first image of predetermined object images or do not comprise the 2nd image of predetermined object images. First image is the medical science image obtained by X-ray. 2nd image is the image of the operating system (OS) exported from such as Personal Computer (PC). Medical science image detection portion 4 determines that each division region is flat site or dark flat site. Such as, flat site to be the type only comprising gray-scale value be the first threshold value or less (2 or less) and there is the region of the pixel of middle gray. Such as, dark flat site to be the type only comprising gray-scale value be the 4th threshold value or less (2 or less) and there is the region of the pixel of dark gray. Such as, the size that the pixel with dark gray is gray-scale value is the 3rd threshold value or the pixel of less (64 or less). Medical science image detection portion 4 counts the determination result in each division region. The quantity and Second Threshold (CNth) that are confirmed as the division region of flat site are compared by medical science image detection portion 4, and the quantity in the division region being confirmed as dark flat site and the 5th threshold value (BCNth) are compared. During condition at least arbitrarily in the condition that the quantity meeting condition that the quantity in division region being confirmed as flat site is Second Threshold or bigger and being confirmed as the division region of dark flat site is the 5th threshold value or bigger, medical science image detection portion 4 determines that input picture is the 2nd image (image of OS). Owing to input picture is not multi-grey image when any condition met in these conditions, so medical science image detection portion 4 determines that input picture is not the first image (medical science image). Hereinafter, defining method will be described in detail.
Generally, the medical science image (the first image) comprising the image of the object obtained by X-ray etc. is made up of many gray scales (3 or more a grey scale), and thus the quantity of the type of gray-scale value is not reduced to 1 or 2. On the other hand, in the image of the OS shown in Fig. 5 A, particularly the region of the graph image of text display area and display GUI has the gray-scale value of the only composing images of a few types. Herein, in fig. 5, object 201 shows text display area. Owing to the input picture shown in Fig. 5 A has the division region that only minority is made up of many gray scales, therefore a large amount of flat sites is counted. When flat site and the ratio of whole two field picture are big, it is assumed that input picture is not medical science image. But, as the image shown in Fig. 2 A, some medical science image has very big area in its dark background region. In this case, dark flat site occupies very big area in medical science image. For this reason, medical science image detection portion 4 determines the quantity of flat site individually according to the quantity of dark flat site. For determining the 5th threshold value (BCNth) of the quantity of dark flat site and be set to larger than the Second Threshold (CNth) of the quantity of the flat site for determining to have middle gray. Therefore, prevent from indicating medical science image and the input picture (image as Fig. 2 A) with big dark background is erroneously determined to " non-medical images ". Hereinafter, using function block diagram is described the detailed construction in medical science image detection portion 4.
Fig. 3 shows the function block diagram in medical science image detection portion 4. As shown in Figure 3, medical science image detection portion 4 has dark flat site determination portion 31, flat site determination portion 32, dark flat site count section 33, flat site count section 34 and medical science image determination portion 35. Each function will be described below.
Dark flat site determination portion 31 is according to the maximum value of the gray-scale value in each division region sent from eigenwert detection portion 3 and mean value, it is determined that whether each division region is dark flat site. When the maximum value of the gray-scale value of the pixel divided in region represent dark gray and difference between maximum value and mean value for hour, then the gray-scale value of the pixel that the image assuming to divide region is not multi-grey image and divides in region is almost uniform. Therefore, dark flat site determination portion 31 determines to meet the division region of formula 1 below and formula 2 simultaneously is dark flat site.
| maximum value mean value |��dL1 ... (formula 1)
Pa1��mean value��Pa2 ... (formula 2)
Herein, dL1 (the 4th threshold value) and Pa1 and Pa2 (the 3rd threshold value) represents preset value. In the first embodiment, it is assumed that dL1 is set as 2, Pa1 and is set as 0, and Pa2 be set as 64. Dark gray is specified by Pa1 and Pa2. In the first embodiment, regulation dark gray reaches 64. In addition, dL1 represent the size of the difference between maximum value and mean value, for determining the threshold value of dark flat site. When dividing region and be made up of the pixel of a gray-scale value, the size of the difference between maximum value and mean value is 0. But, when causing noise in the picture, maximum value and mean value are inequal each other. 4th threshold value dL1 is set as 2 so that even if when causing little noise, and the division region with almost uniform gray-scale value still can be confirmed as dark flat site. Such as, when the input picture of Fig. 2 A, the division region at coordinate (2,2) place has maximum value 0 and mean value 0, and following relation is set up.
| maximum value mean value |=| 0-0 |��dL1
Pa1��0��Pa2
Therefore, owing to both formula 1 and formula 2 are all satisfied, therefore dark flat site determination portion 31 determines that dividing region is dark flat site. On the other hand, the division region at coordinate (1,1) place has maximum value 1536 and mean value 1536, and following relation is set up.
| maximum value mean value |=| 1536-1536 |��dL1
Pa1��1536��Pa2
Therefore, owing to formula 2 does not meet, and formula 1 meets, and therefore division region is not defined as dark flat site by dark flat site determination portion 31.
In the above described manner, dark flat site determination portion 31 determines whether each division region is dark flat site. Then, the dark flat site traffic sign placement being confirmed as the division region of dark flat site is 1 by dark flat site determination portion 31, and this mark is sent to the dark flat site count section 33 of next stage. Meanwhile, the dark flat site traffic sign placement not being confirmed as the division region of dark flat site is 0 by dark flat site determination portion 31, and this mark is sent to the dark flat site count section 33 of next stage.
Flat site determination portion 32 is according to the maximum value of the gray-scale value in each division region sent from eigenwert detection portion 3 and mean value, it is determined that whether each division region is middle gray flat site. It is flat site that flat site determination portion 32 determines to meet the division region of formula 3 below and formula 4 simultaneously.
| maximum value mean value |��dL2 ... (formula 3)
Pa3��mean value��Pa4 ... (formula 4)
Here, (Pa1 < Pa2 < Pa3 < Pa4)
DL2 (the first threshold value), Pa3 and Pa4 represent preset threshold value. In the first embodiment, it is assumed that dL2 is set as 2, Pa3 and is set as 65, and Pa4 be set as 1600. Middle gray is specified by Pa3 and Pa4. In the first embodiment, the gray scale of regulation 65 or bigger is middle gray. In addition, dL2 represent the size of the difference between maximum value and mean value, for determining the threshold value of flat site. In the first embodiment, it is assumed that the first threshold value dL2 is set as 2, such as the situation at dark flat site. As dark flat site determination portion 31, flat site determination portion 32 determines whether each division region is middle gray flat site. Then, the flat site traffic sign placement being confirmed as the division region of flat site is 1 by flat site determination portion 32, and this mark is sent to the flat site count section 34 of next stage. Meanwhile, the flat site traffic sign placement not being confirmed as the division region of flat site is 0 by flat site determination portion 32, and this mark is sent to the flat site count section 34 of next stage. Noting, although threshold value Pa3 and Pa4 is set as 65 and 1600 respectively in the present embodiment, but they can be set as any value. Such as, it is possible to change threshold value according to by explaining that the pattern that operator regulates is arranged. In the above example, middle gray flat site is determined by Pa4 being set to 1600. But, it is possible to by Pa4 being set to such as 4095, determine the flat site of middle gray to high gray scale.
Dark flat site count section 33 receives the dark flat site mark in each division region from dark flat site determination portion 31. When dark flat site mark is set as 1, dark flat site counting value is increased progressively 1 by dark flat site count section 33. When dark flat site mark is set as 0, dark flat site count section 33 does not change dark flat site counting value. When the image of Fig. 2 A, according to above-mentioned parameter (dL1=2, Pa1=0 and Pa2=64), dark flat site counting value turns into 46. Dark flat site count section 33 determines whether all division regions of a frame are dark flat site, to calculate dark flat site counting value. After this, dark flat site counting value is sent to medical science image determination portion 35 by dark flat site count section 33, is then 0 by dark flat site counting value removing.
Flat site count section 34 receives the flat site mark in each division region from flat site determination portion 32. When flat site mark is set as 1, flat site counting value is increased progressively 1 by flat site count section 34. When flat site mark is set as 0, flat site count section 34 does not change flat site counting value. When the image of Fig. 2 A, according to above-mentioned parameter (dL2=2, Pa3=65 and Pa4=1600), flat site counting value turns into 10. Thus, flat site count section 34 determines whether all division regions of a frame are flat site, to calculate flat site counting value. After this, flat site counting value is sent to medical science image determination portion 35 by flat site count section 34, is then 0 by flat site counting value removing.
Based on dark flat site counting value and smooth area count value, medical science image determination portion 35 determines whether input picture is medical science image. When the formula 5 below meeting and any condition in the condition shown in formula 6, medical science image determination portion 35 determines that input picture is not multi-grey image, that is, be not medical science image (but the 2nd image). On the other hand, when the condition shown in formula 5 below and formula 6 does not all meet, medical science image determination portion 35 determines that input picture is multi-grey image and is medical science image (being the first image).
Dark flat site counting value >=BCNth ... (formula 5)
Flat site counting value >=CNth ... (formula 6)
Such as, when assume in the first embodiment BCNth be set as 60 and CNth be set as 30 time, when the image of Fig. 2 A, dark flat site counting value turn into 46 and flat site counting value turn into 10. Therefore, the condition shown in above-mentioned formula 5 and formula 6 does not all meet. Therefore, medical science image determination portion 35 determines that the image of Fig. 2 A is medical science image (the first image). On the other hand, when as shown in Figure 5A, on OS screen, there is the image of object 201 with dark gray be transfused to time, the maximum value of the gray-scale value in each division region detected by eigenwert detection portion 3 and mean value are the values shown in Fig. 5 B and Fig. 5 C. From the eigenwert of Fig. 5 B and Fig. 5 C, dark flat site counting value turns into 6 and flat site counting value turns into 48. Due to BCNth be set as 60 and CNth be set as 30, so not meeting the condition of dark flat site but meeting the condition of flat site with middle gray. Therefore, medical science image determination portion 35 determines that the image of Fig. 5 A is not medical science image (being the 2nd image). In order to such determination result being informed, to the unit of next stage, medical science logos is outputted to control portion 6 by medical science image determination portion 35. When determining that the image of Fig. 2 A is " medical science image (being the first image) ", medical science logos is set to 1 by medical science image determination portion 35, and this mark outputs to the control portion 6 of next stage. When determining that the image of Fig. 5 A is " non-medical images (being the 2nd image) ", medical science logos is set to 0 by medical science image determination portion 35, and this mark is outputted to control portion 6.
Attribute determination portion 5 carries out the subject area that exists about the image (object to be explained) that each division region is object or the attribute of the background area of the background comprising predetermined object images is determined. Hereinafter, determine describing attribute in detail.
The bright area value in each division region that attribute determination portion 5 obtains by eigenwert detection portion 3 and predetermined threshold value (the 7th threshold value) compare, to determine the attribute in each division region. It is subject area that attribute determination portion 5 determines that bright area value is greater than the division region of the 7th threshold value, and determines that bright area value be the division region of the 7th threshold value or less is background area. The result so determined is sent to the control portion 6 of next stage by attribute determination portion 5. Hereinafter, the concrete operation example of attribute determination portion 5 is described by the image using Fig. 2 A and Fig. 5 A.
Owing to the medical science logos of the image of Fig. 2 A is set to 1, therefore attribute determination portion 5 determines the attribute in each division region. Attribute determination portion 5 receives the bright area value in each division region shown in Fig. 2 D from eigenwert detection portion 3. In the first embodiment, it is assumed that the 7th threshold value is set as 90. In this case, the attribute determination result in each division region is as shown in Figure 4. Among each division region of Fig. 4, represent the division region being confirmed as subject area by value 1, and represent the division region being confirmed as background area by value 0. When the image of Fig. 5 A, attribute determination result is as shown in fig. 5e. As shown in Figure 5 D, and only in the region of object 201, bright area value is the 7th threshold value or less to the bright area value of the image of Fig. 5 A. As shown in fig. 5e, therefore, only corresponding with object 201 division region is confirmed as background area, and the value of attribute determination result turns into 0. Owing to bright area value is greater than 90 (the 7th threshold values), therefore remaining division region is confirmed as subject area, and the value of attribute determination result turns into 1. Noting, the first embodiment shows following example: use the bright area value dividing region, the division region with little bright area value is defined as background area. As another defining method, it is possible to when the maximum value of the gray-scale value dividing region represents the little gray scale being confirmed as dark-part, it is determined that dividing region is background area. Such as, it can be subject area that maximum gray scale is greater than the division region of the 8th threshold value, and can determine that maximum gradation value be the division region of the 8th threshold value or less is background area. The attribute in each division region so determined is outputted to the control portion 6 of next stage by attribute determination portion 5.
When determining that input picture is medical science image (the first image) by medical science image detection portion 4, namely, when the medical science logos sent from medical science image detection portion 4 is set to 1, the result of attribute determination portion 5 is in statu quo outputted to the backlight brightness values determination portion 7 of next stage by control portion 6. In addition, when medical science logos is set to 0, that is, when determining that input picture is not medical science image (being the 2nd image), control portion 6 carries out processing so that local dimming is invalid. In order to make local dimming invalid, the attribute manipulation in all division regions is subject area by control portion 6, and the determination result of unrelated attribute determination portion 5. That is, the attribute determination result in all division regions is set to 1 by control portion 6, and is outputted to the backlight brightness values determination portion 7 of next stage. Owing to as described later, backlight brightness values determination portion 7 is instruction background area or subject area according to attribute determination result, determines application local dimming, therefore make local dimming invalid by process. Specifically, local dimming is applied to the light source corresponding with indicating the division region of background area by backlight brightness values determination portion 7, and local dimming is not applied to the light source corresponding with indicating the division region of subject area. The 2nd image outside medical science image, such as, the image outside the image of OS or medical science image is the image requiring to express with the gray scale of dark-part, or requires the image that halation reduces. When input picture is the 2nd image, it should not with local dimming (make the brightness of light source even), and unrelated attribute determination result. Therefore, the brightness of the light source of backlight require the dark-part that gray scale is expressed or dark background text filed in do not reduce. Therefore, allow gray scale to express in dark-part, and constrain the interference caused because of halation. Note, above embodiment described following example: when input picture is not medical science image, correct the application of attribute determination result with controls local light modulation in each division region. As other method, when determining that input picture is not medical science image, control portion 6 the backlight brightness values determination portion 7 of direct instruction next stage can light the light source corresponding with all division regions with constant brightness (not applying brightness when local dimming).
Backlight brightness values determination portion 7 receives the attribute determination result in each division region from control portion 6, and determines the brightness of the light source corresponding with each division region. Backlight brightness values determination portion 7, by the brightness of the light source corresponding with the division region being confirmed as subject area, is set to identical with the brightness of the situation not applying local dimming. In addition, backlight brightness values determination portion 7, by the brightness of the light source corresponding with the division region being confirmed as background area, is set to the brightness lower than the situation not applying local dimming. Such as, when reducing the black brightness to 1/10 of background area, backlight brightness values determination portion 7 is by luminance-reduction to 1/10 brightness of the light source corresponding with background area. Therefore, in the dark background of the medical science image of Fig. 2 A, backlight is dimmed. But, in the region of the object 201 of Fig. 5 A, backlight has normal brightness, thus constrains halation. The brightness of each light source so determined is sent to backlight module section 2 by backlight brightness values determination portion 7. Note, according to the hobby explaining operator or the degree being disturbed because of halation, it may be determined that when medical science image, the reduction degree of the brightness of the light source corresponding with background area reduces, and reduces degree and be not limited to 1/10.
Utilizing above-mentioned configuration, the display unit of the first embodiment determines whether input picture is medical science image, and based on the eigenwert of this determination result and image, it is determined that the brightness of each light source of backlight. Therefore, when input picture is medical science image, made the light source of the backlight in dark background region dimmed by local dimming, to reduce black drift and to be disturbed because of black drift when explaining that operator etc. explains. When input picture is not medical science image, even in dark areas, the brightness of the light source of backlight does not also reduce. Therefore, constrain halation, and the gray scale of dark areas can be expressed.
Above-mentioned first embodiment describes following example: making each division region based on the maximum value of gray-scale value in each division region and mean value is dark flat site or the determination of middle gray flat site, to determine that whether input picture is as medical science image. As other method, eigenwert detection portion 3 can obtain the gray-scale value in each division region histogram and from the distribution of the frequency of histogram, it is determined that it is each that to divide region be dark flat site or middle gray flat site. According to the method, it is possible to make with higher precision and determining. Herein, use Fig. 6 A to Fig. 6 C is described the distribution of the frequency of histogram. In Fig. 6 A and Fig. 6 B, transverse axis represents gray-scale value, and the longitudinal axis represents frequency (quantity of pixel). Such as, when pixel has gray-scale value 450, it is counted as the frequency having within the scope of the gray scale of 449 to 512. In the histogram in the division region so obtained, when frequency concentrates on a gray scale scope as shown in Figure 6A, medical science image detection portion 4 determines that each division region is flat site. And, when frequency concentrates on a gray scale scope of such as 0 to 64 scope, medical science image detection portion 4 determines that dividing region is dark flat site. On the other hand, when frequency dispersion is when multiple gray scale scope as shown in Figure 6B, medical science image detection portion 4 determines that each division region is not flat site. As mentioned above, it is necessary, the histogram in each division region can be obtained, and make from this histogram and divide the determination whether region is flat site, to determine that whether input picture is as medical science image. In addition, it is possible to from the histogram of whole input picture, it is determined that whether input picture is medical science image. Such as, when the histogram obtaining whole input picture and when frequency concentrates on three or less specific gray scale scopes as shown in Figure 6 C, medical science image detection portion 4 can determine that input picture is not medical science image.
Above-mentioned first embodiment describes following example: makes whole input picture and comprises first image (medical science image) of predetermined object images or do not comprise the determination of the 2nd image (image outside the image of OS or medical science image) of the image of this object. But, there is following possibility, namely in the input image, the display area of the first and second images is mixed together. Such as, the display area that there is medical science image is disposed in the side, a left side half of screen and text display area is disposed in the possibility of side, the right side half of screen. In this case, it is possible to by the local dimming of the brightness of the backlight in reduction dark background region, be applied to the display area of medical science image, and even in the dark background region of text display area, also can not reduce the brightness of backlight.
Above-mentioned first embodiment describes following example: medical science image detection portion 4 is based on the eigenwert of input picture, it is determined that input picture is the image (the 2nd image) outside medical science image (the first image) or medical science image. But, it is possible to adopt any method for determining input picture. Such as, it is possible to based on the metadata that view data comprises, determine whether input picture is medical science image. Fig. 7 shows and is determining whether input picture is structure when medical science image based on as metadata, the information of adding view data to. Medical science image determination portion 40 reads the metadata of input picture, and similarly is the no information for medical science image from this metadata acquisition indicator card. When detecting, from metadata, the information that indicator card similarly is medical science image, medical science logos is set to 1 by medical science image determination portion 40. When not detecting, from metadata, the information that indicator card similarly is medical science image, medical science logos is set to 0 by medical science image determination portion 40. Metadata is the information of the type of the image indicating such as roentgenogramX interpretation of images and medical science image etc. Structure according to Fig. 7, it is possible to based on the information adding view data to, carry out the application of local dimming.
Other embodiment
Embodiments of the invention can also be realized by following method, namely, by network or various storage media, the software (program) performing the function of above-described embodiment is supplied to system or device, the computer of this system or device or central processing unit (CPU), micro-processing unit (MPU) reads and the method for steering routine.
Although with reference to exemplary embodiment, invention has been described, it is understood that the invention is not restricted to disclosed exemplary embodiment. The widest explanation should be given, so that it contains all these modified examples and equivalent structure and function to the scope of claims.
Claims (21)
1. a display unit, described display unit comprises:
Display panel;
Luminous unit, it has multiple light source and regulates the brightness of each light source individually;
Acquiring unit, it is constructed to obtain the eigenwert of input picture for the division region corresponding respectively with described multiple light source; And
Control unit, it is constructed to when described input picture is the first image comprising predetermined object images, the brightness of the light source that the division region making to be confirmed as dark areas with the eigenwert based on described each division region is corresponding, lower than the brightness of the light source corresponding with other division regions, wherein
When described input picture is the 2nd image not comprising described predetermined object images, described control unit does not implement to make the brightness of the light source corresponding with the division region being confirmed as described dark areas lower than the control operation with other brightness dividing the corresponding light source in region described.
2. display unit according to claim 1, wherein,
When described input picture is described 2nd image not comprising described predetermined object images, described control unit makes the brightness of the light source corresponding with the division region being confirmed as described dark areas, and identical with other brightness dividing the corresponding light source in region described.
3. display unit according to claim 1 and 2, wherein,
Described control unit, based on the eigenwert in described multiple division region, determines that described input picture is described first image or described 2nd image.
4. display unit according to claim 3, wherein,
Described control unit determines whether described each division region is flat site, in described flat site, the quantity forming the type of the gray-scale value of the pixel in described division region is the first threshold value or less, and when the quantity in the division region being confirmed as described flat site be Second Threshold or bigger, it is determined that described input picture is described 2nd image.
5. display unit according to claim 3, wherein,
Described control unit determines whether described each division region is dark flat site, in described dark flat site, the each gray-scale value forming the pixel in described division region is the 3rd threshold value or quantity that is less and that form the type of the gray-scale value of the pixel in described division region is the 4th threshold value or less, and when the quantity in the division region being confirmed as described dark flat site be the 5th threshold value or bigger, it is determined that described input picture is described 2nd image.
6. display unit according to claim 3, wherein,
Described control unit is determined to divide described in each whether region is flat site, determine described in each, to divide whether region is dark flat site simultaneously, in described flat site, the quantity forming the type of the gray-scale value of the pixel in described division region is the first threshold value or less, in described dark flat site, the each gray-scale value forming the pixel in described division region is the 3rd threshold value or quantity that is less and that form the type of the gray-scale value of the pixel in described division region is the 4th threshold value or less, and in the condition that the quantity meeting the division region being confirmed as described flat site is Second Threshold or bigger, and the quantity being confirmed as the division region of described dark flat site be the 5th threshold value or bigger condition at least either condition when, determine that described input picture is described 2nd image.
7. display unit according to claim 6, wherein, described 5th threshold value is greater than described Second Threshold.
8. display unit according to claim 4 or 6, wherein,
Described acquiring unit obtains maximum value and the mean value of the gray-scale value of the pixel forming described division region, as the eigenwert in described each division region, and
The division region that the size of the described maximum value of described gray-scale value and the difference of described mean value is described first threshold value or less is defined as described flat site by described control unit.
9. display unit according to claim 5 or 6, wherein,
Described acquiring unit obtains maximum value and the mean value of the gray-scale value of the pixel forming described division region, as the eigenwert in described each division region, and
The division region that the size that the size of the described maximum value of described gray-scale value and the difference of described mean value is described 4th threshold value or less and described mean value is described 3rd threshold value or less is defined as described dark flat site by described control unit.
10. display unit according to claim 4 or 6, wherein,
Described acquiring unit obtains the histogram of the gray-scale value of the pixel forming described division region, as the eigenwert in described each division region, and
The division region that histogram medium frequency at described gray-scale value concentrates on specific gray value is defined as described flat site by described control unit.
11. display unit according to claim 5 or 6, wherein,
Described acquiring unit obtains the histogram of the gray-scale value of the pixel forming described division region, as the eigenwert in described each division region, and
The division region of the specific gray value that the histogram medium frequency at described gray-scale value is concentrated on described 3rd threshold value or less by described control unit is defined as described dark flat site.
12. display unit according to claim 1, wherein,
Described control unit based on be attached to as metadata described input picture, the information of the type of indicator card picture, determine that described input picture is described first image or described 2nd image.
13. display unit according to claim 12, wherein,
When the information that the described image of instruction is medical science image is added to described input picture as metadata, described control unit determines that described input picture is described first image.
14. display unit according to any one of claim 1,2,4 to 7, wherein,
When described input picture is described first image, described control unit will indicate the attribute assignment of the background area of the background of described predetermined object images to the division region being confirmed as described dark areas, the attribute assignment of the subject area described predetermined object images being present in divides region to described other, and the eigenwert based on described division region, reduce the brightness of the light source corresponding with the division region that the attribute of described background area is assigned to, certain luminance is set by for the light source corresponding with the division region that the attribute of described subject area is assigned to simultaneously.
15. display unit according to claim 14, wherein,
Described acquiring unit obtains bright area value, and as the eigenwert in described each division region, the instruction of described bright area value forms in the middle of the pixel in described division region, has the quantity of the pixel of the gray-scale value of the 6th threshold value or bigger, and
Described control unit by the attribute assignment of described subject area to the division region with the bright area value being greater than the 7th threshold value, and by the division region of the attribute assignment of described background area to the bright area value with the 7th threshold value or less.
16. display unit according to claim 14, wherein,
Described acquiring unit obtains the maximum value of the gray-scale value of the pixel forming described division region, as the eigenwert in described each division region, and
Described control unit by the attribute assignment of described subject area to the division region with the maximum gradation value being greater than the 8th threshold value, and by the division region of the attribute assignment of described background area to the maximum gradation value with the 8th threshold value or less.
17. display unit according to any one of claim 1,2,4 to 7,12 and 13, wherein,
Described first image be comprise by the image of radioactive rays or the subject of ultrasonic wave shooting as described predetermined object images, medical science image for explaining.
18. display unit according to any one of claim 1,2,4 to 7,12,13 and 15, wherein,
Described 2nd image is the image being made up of figure and text.
The control method of 19. 1 kinds of display unit, described display unit comprises display panel and has multiple light source and regulate the luminous unit of the brightness of each light source individually, and described control method comprises:
For the division region corresponding respectively with described multiple light source, obtain the eigenwert of input picture; And
When described input picture is the first image comprising predetermined object images, implement to make with the eigenwert based on described each division region and be confirmed as the brightness of the corresponding light source in the division region of dark areas lower than the control operation with other brightness dividing the corresponding light source in regions, wherein
When described input picture is the 2nd image not comprising described predetermined object images, do not implement to make the brightness of the light source corresponding with the division region being confirmed as described dark areas lower than the control operation with other brightness dividing the corresponding light source in region described.
20. 1 kinds of display unit, described display unit comprises:
Display panel;
Luminous unit, it has multiple light source and regulates the brightness of each light source individually;
Acquiring unit, it is constructed to obtain the eigenwert of input picture for the division region corresponding respectively with described multiple light source; And
Control unit, its display being constructed in described input picture comprises in the region of the first image of predetermined object images, the brightness of the light source that the division region making to be confirmed as dark areas with the eigenwert based on described each division region is corresponding, lower than the brightness of the light source corresponding with other division regions, wherein
Display in described input picture does not comprise in the region of the 2nd image of described predetermined object images, and described control unit does not implement to make the brightness of the light source corresponding with the division region being confirmed as described dark areas lower than the control operation with other brightness dividing the corresponding light source in region described.
The control method of 21. 1 kinds of display unit, described display unit comprises display panel and has multiple light source and regulate the luminous unit of the brightness of each light source individually, and described control method comprises:
For the division region corresponding respectively with described multiple light source, obtain the eigenwert of input picture; And
Display in described input picture comprises in the region of the first image of predetermined object images, implement to make with the eigenwert based on described each division region and be confirmed as the brightness of the corresponding light source in the division region of dark areas lower than the control operation with other brightness dividing the corresponding light source in regions, wherein
Display in described input picture does not comprise in the region of the 2nd image of described predetermined object images, does not implement to make the brightness of the light source corresponding with the division region being confirmed as described dark areas lower than the control operation with other brightness dividing the corresponding light source in region described.
Applications Claiming Priority (4)
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| JP2014-240503 | 2014-11-27 | ||
| JP2014240503 | 2014-11-27 | ||
| JP2015-217743 | 2015-11-05 | ||
| JP2015217743A JP2016110092A (en) | 2014-11-27 | 2015-11-05 | Display device and control method therefor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105654909A true CN105654909A (en) | 2016-06-08 |
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| CN201510823243.XA Withdrawn CN105654909A (en) | 2014-11-27 | 2015-11-24 | Display apparatus and method for controlling same |
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| Country | Link |
|---|---|
| JP (1) | JP2016110092A (en) |
| KR (1) | KR20160063989A (en) |
| CN (1) | CN105654909A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107808642A (en) * | 2017-11-14 | 2018-03-16 | 武汉华星光电技术有限公司 | Backlight driving method and related product |
| US10424257B2 (en) | 2017-11-14 | 2019-09-24 | Wuhan China Star Optoelectronics Technology Co., Ltd. | Backlight driving method and backlight driving device |
| CN111128347A (en) * | 2019-12-10 | 2020-05-08 | 青岛海信医疗设备股份有限公司 | Medical image display method and communication terminal |
| CN111275630A (en) * | 2020-01-07 | 2020-06-12 | 中国人民解放军陆军军医大学第二附属医院 | Cell image adjusting method and device and electron microscope |
| CN114724520A (en) * | 2022-04-13 | 2022-07-08 | 南京巨鲨显示科技有限公司 | Self-adaptive brightness adjustment method for gray-scale medical image |
-
2015
- 2015-11-05 JP JP2015217743A patent/JP2016110092A/en active Pending
- 2015-11-20 KR KR1020150162945A patent/KR20160063989A/en active Search and Examination
- 2015-11-24 CN CN201510823243.XA patent/CN105654909A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107808642A (en) * | 2017-11-14 | 2018-03-16 | 武汉华星光电技术有限公司 | Backlight driving method and related product |
| US10424257B2 (en) | 2017-11-14 | 2019-09-24 | Wuhan China Star Optoelectronics Technology Co., Ltd. | Backlight driving method and backlight driving device |
| CN111128347A (en) * | 2019-12-10 | 2020-05-08 | 青岛海信医疗设备股份有限公司 | Medical image display method and communication terminal |
| CN111275630A (en) * | 2020-01-07 | 2020-06-12 | 中国人民解放军陆军军医大学第二附属医院 | Cell image adjusting method and device and electron microscope |
| CN114724520A (en) * | 2022-04-13 | 2022-07-08 | 南京巨鲨显示科技有限公司 | Self-adaptive brightness adjustment method for gray-scale medical image |
| CN114724520B (en) * | 2022-04-13 | 2024-02-20 | 南京巨鲨显示科技有限公司 | Luminance self-adaptive adjustment method for gray-scale medical image |
Also Published As
| Publication number | Publication date |
|---|---|
| KR20160063989A (en) | 2016-06-07 |
| JP2016110092A (en) | 2016-06-20 |
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