CN110851752A - Image transmission method and device - Google Patents

Image transmission method and device Download PDF

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CN110851752A
CN110851752A CN201910913417.XA CN201910913417A CN110851752A CN 110851752 A CN110851752 A CN 110851752A CN 201910913417 A CN201910913417 A CN 201910913417A CN 110851752 A CN110851752 A CN 110851752A
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CN110851752B (en
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吕亚亚
李云鹏
谢文龙
王艳辉
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Visionvera Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/957Browsing optimisation, e.g. caching or content distillation
    • G06F16/9577Optimising the visualization of content, e.g. distillation of HTML documents
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/957Browsing optimisation, e.g. caching or content distillation
    • G06F16/9574Browsing optimisation, e.g. caching or content distillation of access to content, e.g. by caching
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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Abstract

The embodiment of the invention provides an image transmission method and an image transmission device, which can be applied to a server and a WEB side, wherein the method comprises the following steps: the method comprises the steps that a server receives a target image request sent by a WEB side which is in communication connection with the server, wherein the target image request comprises a target level and a target coordinate; the server obtains a target image corresponding to the target level aiming at the target image request; the server judges whether the target image is cut or not, and cuts the target image into a plurality of sub-images when the target image is not cut; the server determines a target sub-image to be displayed from the plurality of sub-images according to the target coordinate; and sending the target sub-image to the WEB terminal for display. Through the steps, the image which the user wants to view can be quickly loaded, the corresponding positions are amplified to be 5 times, 10 times, 20 times and 40 times, the viewing cost is low, and the application range is wide.

Description

Image transmission method and device
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to an image transmission method and an image transmission apparatus.
Background
With current terminals (e.g., PCs, cell phones, etc.), there is a size limitation in being able to load displayed images in the Web environment of their browsers. For some images with particularly large resolution, such as pathological section image files (typically several G-size), the image viewer often cannot be directly opened or is very slow to view after being opened. In the prior art, the examination is carried out by professional scanning equipment. Is limited by high equipment cost and is not wide enough to be used conveniently.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are proposed to provide an image transmission method and an image transmission apparatus that overcome or at least partially solve the above problems.
In order to solve the above problem, an embodiment of the present invention discloses an image transmission method, which is applied to a server, and the method includes:
receiving a target image request sent by a WEB end in communication connection with the server; wherein the target image request comprises a target level and target coordinates;
obtaining a target image corresponding to the target level for the target image request;
judging whether the target image is cut or not;
if the target image is not cut, cutting the target image into a plurality of sub-images;
determining a target sub-image to be displayed from the plurality of sub-images according to the target coordinates;
and sending the target sub-image to the WEB terminal.
Optionally, the server stores multiple layers of images with different image resolutions corresponding to the target image;
for the target image request, obtaining a target image corresponding to the target level comprises:
judging whether the target image is stored or not according to the target image request;
if the image is judged to be not stored, determining an optimal cutting level according to the target level, the maximum level value of the target image which can be layered and the image resolution corresponding to the maximum level value and a preset layering rule;
determining an image closest to the optimal cut level from the plurality of layers of images of different image resolutions;
and compressing the image closest to the optimal cutting level to obtain a target image corresponding to the target level.
Optionally, if it is determined that the target image is not stored, the step of determining an optimal cutting level according to the target level, the maximum level value of the target image that can be layered, and the image resolution corresponding to the maximum level value, and according to a preset layering rule further includes:
if the judgment result is that the target image is not stored, determining a first cutting granularity according to the target hierarchy and the maximum hierarchy value of the target image which can be layered and a preset first layering rule;
determining the cutting times of the target level according to the image resolution corresponding to the maximum level value and the first cutting granularity;
and determining the optimal cutting level according to the cutting times of the target level and a preset second layering rule.
Optionally, if it is determined that the target image is not cut, the step of cutting the target image into a plurality of sub-images includes:
if the cutting level is not cut, taking the difference value of the optimal cutting level and the target level as the exponent of a preset base number to carry out power operation, and multiplying the result of the power operation by the preset cutting granularity to determine a second cutting granularity;
and cutting the target image into a plurality of sub-images according to the cutting times of the target level and the second cutting granularity.
Optionally, after the target image is cut into a plurality of sub-images, the method further includes:
judging whether the image resolution of each sub-image in the plurality of sub-images is the same as the second cutting granularity;
and pasting the sub-image which does not meet the second cutting granularity to a transparent base map with the second cutting granularity.
Optionally, after the target image is cut into a plurality of sub-images, the method includes:
establishing a three-dimensional coordinate system on an image corresponding to the maximum cutting level corresponding to the target image, and determining the layer coordinates of the target image and the transverse coordinate values or longitudinal coordinate values of a plurality of sub-images of the target image according to the target level;
creating a first folder corresponding to the layer coordinates;
creating a plurality of second folders in the first folder according to the transverse coordinate value or the longitudinal coordinate value;
storing a plurality of sub-images having the lateral coordinate value or the longitudinal coordinate value in a second folder corresponding to the lateral coordinate value or the longitudinal coordinate value;
the target coordinates comprise a target transverse coordinate value and a target longitudinal coordinate value, and the step of determining the target sub-image to be displayed from the plurality of sub-images according to the target coordinates comprises the following steps:
and determining a target sub-image to be displayed from the first folder and the second folder according to the target transverse coordinate value and the target longitudinal coordinate value.
In order to solve the above problem, an embodiment of the present invention discloses another image transmission method, which is applied to a WEB side, and the method includes:
generating a target image request when receiving a trigger operation aiming at a request target image on a browser interface; the target image request comprises a target level and target coordinates;
sending the target image request to a server in communication connection with the WEB terminal;
receiving a target sub-image returned by the server according to the target image request, wherein the target sub-image is a sub-image determined according to the target coordinate after the target image is cut according to the target level;
and displaying the target sub-image on a browser interface of the WEB terminal.
Optionally, the WEB end stores the display resolution of the browser interface and the image resolution corresponding to the maximum level value of the target image; before generating the target image request, the method comprises:
determining screen pixel coordinates on the browser interface according to the triggering operation;
and converting the screen pixel coordinate into the target coordinate according to the ratio of the display resolution of the browser interface to the image resolution of the image corresponding to the maximum hierarchy value of the target image.
In order to solve the above problem, an embodiment of the present invention further discloses an image transmission apparatus, which is applied to a server, and the apparatus includes:
the target image request receiving module is used for receiving a target image request sent by a WEB terminal in communication connection with the server; wherein the target image request comprises a target level and target coordinates;
a target image obtaining module, configured to obtain, for the target image request, a target image corresponding to the target hierarchy;
the image judging module is used for judging whether the target image is cut or not;
the image cutting module is used for cutting the target image into a plurality of sub-images when the target image is judged not to be cut;
the target sub-image determining module is used for determining a target sub-image to be displayed from the plurality of sub-images according to the target coordinates;
the target sub-image sending module is used for sending the target sub-image to the WEB terminal; and the WEB terminal is used for displaying the target sub-image on a browser interface of the WEB terminal.
In order to solve the above problem, an embodiment of the present invention further discloses another image transmission apparatus, which is applied to a WEB side, and the apparatus includes:
the target image request generation module is used for generating a target image request when receiving a trigger operation aiming at a request target image on a browser interface; the target image request comprises a target level and target coordinates;
the target image request sending module is used for sending the target image request to a server in communication connection with the WEB terminal;
the target sub-image receiving module is used for receiving a target sub-image returned by the server aiming at the target image request; the target sub-image is a sub-image determined according to the target coordinate after the target image is cut according to the target level;
and the target sub-image display module is used for displaying the target sub-image on a browser interface of the WEB terminal.
The embodiment of the invention has the following advantages:
according to the embodiment of the invention, by layering and cutting the oversized image file, the image which a user wants to view can be quickly loaded, and the corresponding position is amplified to be 5 times, 10 times, 20 times and 40 times, as the corresponding position is amplified and reduced on a microscope, the viewing cost is low, the application range is wide, and the problems that the conventional image viewer cannot directly open the image with higher resolution or the opening and viewing speed is very low are solved;
in the embodiment of the invention, the image of each layer is cut according to a certain standard, the image is cut into a plurality of sub-images, the sub-images of each layer are stored according to a certain mode, and after the image is reduced, the memory occupied by the image is smaller, and the loading and reading are faster;
in the embodiment of the invention, when the sub-images do not meet the cutting granularity, the sub-images are pasted on a transparent base map with the cutting granularity, so that each sub-image is not deformed when being loaded.
Drawings
FIG. 1 is a flow chart of the steps of a method of image transmission according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a hierarchy of embodiments of the present invention;
FIG. 3 is a schematic representation of a cut coordinate of an image at an image resolution of 1024 x 1024;
FIG. 4a is a schematic illustration of a memory of z-coordinates according to an embodiment of the present invention;
FIG. 4b is a schematic diagram of a memory of x-coordinates according to an embodiment of the present invention;
FIG. 4c is a schematic illustration of a memory of y-coordinates according to an embodiment of the present invention;
FIG. 5 is a flow chart of steps of another image transmission method of an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating a relationship between a pixel coordinate value and a coordinate of a coordinate system according to an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of an image transmission apparatus according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of another image transmission apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
The first embodiment is as follows:
referring to fig. 1, a flowchart illustrating steps of an image transmission method according to an embodiment of the present invention is shown, and applied to a server, the method may specifically include the following steps:
step S101, receiving a target image request sent by a WEB side in communication connection with the server; the target image request is generated when the WEB terminal receives a trigger operation aiming at a request target image on a browser interface and comprises a target level and a target coordinate;
in the embodiment of the invention, the server is in communication connection with the WEB end, the WEB end comprises but is not limited to electronic equipment such as a mobile phone, a computer, a tablet and the like with a WEB page browsing function, and a user opens a related image file which is displayed on a browser interface. It should be noted that, when the image file is just opened, the image file is displayed on the browser interface at the preset minimum image resolution.
The target image in the embodiment of the present invention may be an image obtained by enlarging the image file to any layer, and the trigger operation for requesting the target image may be an enlarging operation of the user on the image currently displayed on the browser interface. The image file may be in a variety of formats, including PNG, JPEG, GIF format, and the like. In the embodiment of the invention, the image file is mainly an image with ultra-high image resolution, such as a pathological section image.
Corresponding to the triggering operation, the WEB terminal acquires a target level which a user wants to amplify the currently displayed image file and target coordinates of a corresponding position of an image which the user specifically wants to view corresponding to the target level, generates a target image request, and can send the current image request to a server through an HTTP or HTTPS protocol.
Step S102, aiming at the target image request, obtaining a target image corresponding to the target level;
in the embodiment of the present invention, the images are generally pre-sorted and stored in the server, so after receiving a target image request sent by the WEB end, the server first reads a target image corresponding to the target hierarchy from the memory.
Step S103, judging whether the target image is cut or not;
if a layer of image of the image file is requested to be viewed in the server, a plurality of sub-images of the image file after being cut are stored in the server. Therefore, the server firstly judges whether the target image is cut or not every time the server receives a target image request, and if the target image is not cut, the sub-image of the target image can be quickly returned to the WEB terminal, so that repeated cutting is avoided.
Step S104, if the target image is not cut, cutting the target image into a plurality of sub-images;
certainly, when the target image is determined not to be cut, the server may cut the obtained target image in real time, the cutting modes are various, and the target image may be cut horizontally and vertically or randomly, and in specific implementation, the cutting mode of the target image may be determined according to a preset fixed cutting frequency, or the target image may be cut according to a cutting granularity (i.e., average cutting, and the resolution of the image after each sub-image is cut is the same).
Step S105, determining a target sub-image to be displayed from the plurality of sub-images according to the target coordinates;
after the target image is cut, a plurality of sub-images of the target image are stored, and then the target sub-image to be displayed is determined from the plurality of sub-images according to the target coordinates in the target image request, wherein the determined target sub-image to be displayed can be one or more. If the currently viewed image is large, the sub-image may be spread over the whole browser interface, and at this time, the target sub-image to be displayed is one. When the sub-images are smaller than the browser interface, two or more target sub-images to be displayed at the moment may be displayed; the sub-image corresponding to the target coordinate is a first target sub-image to be displayed on the browser interface, meanwhile, the sub-images adjacent to the target sub-image are also sequentially determined to be target sub-images, and finally, the target sub-images are partially or completely displayed on the browser interface so as to ensure that the browser interface can display the images in a full screen mode.
Step S106, sending the target sub-image to the WEB side; and the WEB terminal is used for displaying the target sub-image on a browser interface of the WEB terminal.
One server can communicate with a plurality of WEB terminals simultaneously, so that the target image request also comprises a communication address of the WEB terminal; and finally, the server returns the target sub-image to the WEB terminal through an HTTP or HTTPS protocol according to the communication address, and the WEB terminal displays the target sub-image on a browser interface, so that a mode of viewing the image with extremely high resolution on the browser interface is completed.
According to the embodiment of the invention, by layering and cutting the oversized image file, the image which the user wants to view can be quickly loaded, and the corresponding position can be amplified to 5 times, 10 times, 20 times and 40 times, as the image is amplified and reduced on a microscope, the viewing cost is low, the application range is wide, and the problems that the image with higher resolution cannot be directly opened or the opening and viewing speed is very low in the conventional image viewer are solved.
In order to facilitate the more accurate understanding of the present invention for those skilled in the art, the following will explain the technical problem of the embodiment of the present invention in detail by taking the pathological section image as an example on the basis of fig. 1:
pathological section is prepared by taking pathological tissues of a certain size, making pathological section by histopathology method (usually, the pathological tissues are embedded in paraffin block, cut into thin slices by a microtome, and stained with hematoxylin-eosin (H-E)), and further examining the pathological section by microscope. The pathological diagnosis is finally made during the process of the occurrence and development of the pathological changes. Therefore, the pathological section image is also called as a digital section (i.e. a virtual section) and is not a static image, and it contains all the lesion information on the glass section, and the digital section (a super-large space, high resolution image) requires arbitrary enlargement and reduction on a computer, and the section can observe any position on the glass section by using the digital section, and can enlarge the corresponding position to 5 times, 10 times, 20 times and 40 times, as the enlargement and reduction on a microscope.
Based on the above requirements, pathological section images are generally large, usually in the size of several G, and a common image viewer cannot be directly opened at all, and can only be viewed through professional scanning equipment, but is limited by high equipment cost and is not widely and conveniently used.
To solve the problem, the embodiment of the present invention provides a method for layering and cutting a pathological section image, and then amplifying and displaying the pathological section image on a WEB end in real time corresponding to an operation of a user, specifically:
in step S101, after the user opens the pathological section image, the image displayed on the browser interface is the minimum layer of the pathological section image. The user uses a mouse or a hand to amplify the image and checks a certain slice position, at the moment, the WEB terminal acquires a trigger operation to generate request information for amplifying and checking the slice position, wherein the request information comprises a target level and a target coordinate, and then the WEB terminal sends the request to the server.
As described in the first embodiment, the images are generally pre-sorted and stored in the server, so that the server stores multiple layers of images with different image resolutions corresponding to the target image. Referring to fig. 2, a schematic diagram of a hierarchy according to an embodiment of the present invention is shown, in fig. 2, a minimum image of the hierarchy is 256 × 256, and belongs to the 0 th layer (zoom 0 in the figure), 512 × 512 belongs to the 2 nd layer (zoom 0 in the figure), and 1024 × 1024 belongs to the 3 rd layer (zoom 3 in the figure).
However, due to the particularity of the image file such as the pathological section image, the server stores too many pathological section images, which occupy too much memory of the server and affect the normal operation thereof, therefore, in a preferred embodiment of the present invention, the following method is provided for step S102:
substep 1: judging whether the target image is stored or not according to the target image request;
substep 2: if the image is judged to be not stored, determining an optimal cutting level according to the target level, the maximum level value of the target image which can be layered and the image resolution corresponding to the maximum level value and a preset layering rule;
substep 3: determining an image closest to the optimal cut level from the plurality of layers of images of different image resolutions;
substep 4: and compressing the image closest to the optimal cutting level to obtain a target image corresponding to the target level.
In a preferred embodiment of the present invention, after receiving the target image request, the server first determines whether the memory of the server stores the target image of the pathological section image according to the target hierarchy. If the target image is not stored, then, if the target image is required to be obtained, the maximum level of the pathological section image can be directly compressed, and therefore the viewing requirement can be met no matter the image is enlarged to any layer. However, the maximum level of the pathological section image is directly compressed, which easily causes image distortion, and the compressed data is too large, so that the response time of the WEB side waiting after sending a request is too long. Therefore, the embodiment of the present invention provides a scheme for finding an optimal cutting level, referring to the following:
if it is judged that the data is not stored, the substep 2 further comprises:
if the judgment result is that the target image is not stored, determining a first cutting granularity according to the target hierarchy and the maximum hierarchy value of the target image which can be layered and a preset first layering rule;
determining the cutting times of the target level according to the image resolution corresponding to the maximum level value and the first cutting granularity;
and determining the optimal cutting level according to the cutting times of the target level and a preset second layering rule.
In the embodiment of the invention, the image resolution corresponding to the maximum hierarchical value of the target image which can be hierarchical can be obtained by scanning the target image by adopting professional equipment and then inputting the target image into the server through a WEB terminal.
Assuming that the minimum layer of the pathological section image is 256 × 256, i.e., the image resolution of the image displayed on the current browser interface is 256 × 256, the image resolution corresponding to the maximum layer value of the target image is w × h, i.e., the image length is w and the image width is h, if w is w, the minimum layer of the pathological section image is 256 × 256, i.e., the image resolution corresponding to the maximum layer value of the target image is w × h>h is then
Figure BDA0002215374270000101
If h is>w, then
Figure BDA0002215374270000102
And rounding up after n is open, so that the maximum hierarchy of the image is calculated to be n (the number of layers is counted from 0), and 256 is the 0 th layer. If the target level is m levels, m < n, the first hierarchical rule is: first cutting grain size 2n-m*256。
If w is greater than h, the cutting times of the target level are w/the first cutting granularity, and the cutting times are rounded upwards; on the contrary, the cutting frequency of the target level is h/the first cutting granularity, and the cutting frequency is rounded upwards.
Setting the optimal cutting level as bestsplitvel, and setting the second hierarchical rule as follows: and traversing N layers of images which can be layered by the target image, finding out the number of the layers of the image with the length w or the width h closest to the cutting times multiplied by 256, and assigning the number of the layers to bestsplitvel so as to determine the optimal cutting level.
By calculation, the optimal cut level is generally the level of the requested target image itself. If the maximum image resolution of the pathological section image is 2048 × 2048, namely n is 3, the target level requested by the WEB end is level 1, namely m is 1, and the image resolution is 512 × 512; the first cutting granularity is calculated to be 1024 according to a preset layering rule, the cutting times of the target level are 2 times, the image resolution obtained by calculating 2 × 256 is 512, 512 belongs to the 1 st level, the obtained optimal cutting level bestsplitvel is the 1 st level, and m is 1.
Because the server does not store the image of the layer, the server automatically searches the image closest to the optimal cutting level upwards according to a set program and compresses the image, so that the target image can be quickly obtained, the probability of image distortion can be greatly reduced, and the problem of overlong waiting response time after a WEB end sends a request is solved. If only the 0 th layer (image resolution is 256 × 256), the 2 nd layer (image resolution is 1024 × 1024), and the 3 rd layer (image resolution is 2048 × 2048) are stored in the server, the server finds the image resolution of the image closest to the optimal cutting level in the memory of the server to be 1024 × 1024, and at the moment, the server directly compresses the pathological section image with the image resolution of 1024 × 1024, so that the pathological section image (target image) with the target level of 1 st layer and the image resolution of 512 × 512 can be obtained.
The above process is a step in which the target image is not stored in the server, and if the target image is stored in the server, the server reads the pathological section image with the target level of layer 1 and the image resolution of 512 × 512 from the own body memory, and then executes step S103.
As can be seen from fig. 2, each layered image is a complete image, and can show all the contents of the target image, except that the resolution of each image is different, and the higher the resolution is, the clearer the display is. Layered images, although they may be loaded, are still slow when loaded. Therefore, the embodiment of the invention cuts the image of each layer according to a certain standard, and cuts the image into a plurality of sub-images. In practical applications, if the image is requested for the first time, it is usually not cut; if the request is a second request, the sub-image of the image is stored in the server.
Then in the first request, for step S104, the following cutting method is provided:
if the cutting level is not cut, taking the difference value of the optimal cutting level and the target level as the exponent of a preset base number to carry out power operation, and multiplying the result of the power operation by the preset cutting granularity to determine a second cutting granularity;
and cutting the target image into a plurality of sub-images according to the cutting times of the target level and the second cutting granularity.
According to the foregoing example, the predetermined base number may be 2, the index is bestsplitvel-m, the predetermined cut granularity is 256, and the calculation formula for obtaining the second cut granularity may be imgsize ═ 2bestsplitlevel-m256, wherein imgsize represents the second cut granularity, m represents the target level, bestsplitvel is the optimal cut level. In the example immediately above, with bestsplitvel being level 1, the currently requested number m is also 1, and the image resolution is 512 × 512, and the second cut granularity is calculated to be 256. The cutting times of the target level are calculated to be 2 according to the previous steps, so that the pathological section image with the image resolution of 512 x 512 is cut into 4 sub-images with equal size according to the cutting granularity of 256. According to the embodiment of the invention, the image of the optimal cutting level is cut, so that the cutting times can be reduced, the cutting is faster, the sub-image with smaller image resolution can be quickly obtained, and the image loading speed is increased.
In the above example, the image resolution (512) of the image is just a multiple of the cut granularity (256), so each sub-image cut is a sub-image that satisfies the cut granularity. For the case that the image is not a multiple of the cutting granularity, that is, when the result obtained by the cutting number has a remainder, it is indicated that there is an incomplete sub-image after the image is cut, in the embodiment of the present invention, after the target image is cut into a plurality of sub-images, the method may further include the following steps:
after the target image is cut into a plurality of sub-images, the method may further include the steps of:
judging whether the image resolution of each sub-image in the plurality of sub-images is the same as the second cutting granularity;
and pasting the sub-image which does not meet the second cutting granularity to a transparent base map with the second cutting granularity.
In the embodiment of the invention, the image resolution of each sub-image obtained after cutting is compared with the second cutting granularity, and whether the sub-image meets the second cutting granularity is judged. When the sub-images do not meet the second cutting granularity, the sub-images are pasted on a transparent base map with the second cutting granularity, so that the integrity of the images can be ensured, and each sub-image is not deformed when being loaded. If the resolution of the image after cutting the sub-image of a pathological section image is 256 × 200 and the second cutting granularity is 256, the sub-image does not meet the second cutting granularity, and the image is pasted to a transparent base map with the resolution of 256 × 256.
After the target image is cut into a plurality of sub-images, in order to facilitate the server to quickly provide the images to the WEB side, a preferred embodiment of the present invention provides a method for storing the sub-images, which may specifically include the following steps:
establishing a three-dimensional coordinate system on an image corresponding to the maximum cutting level corresponding to the target image, and determining the layer coordinates of the target image and the transverse coordinate values or longitudinal coordinate values of a plurality of sub-images of the target image according to the target level;
creating a first folder corresponding to the layer coordinates;
creating a plurality of second folders in the first folder according to the transverse coordinate value or the longitudinal coordinate value;
storing a plurality of sub-images having the lateral coordinate value or the longitudinal coordinate value in a second folder corresponding to the lateral coordinate value or the longitudinal coordinate value.
The three-dimensional coordinate system of the embodiment of the invention is established on the basis of fig. 2, and the server takes the hierarchy of each image as a z-coordinate, the transverse cutting direction of each image as an x-axis and the longitudinal cutting direction as a y-axis. The server may first determine the layer coordinates of the target image based on the three-dimensional coordinate system and the requested target level and create a first folder named by the layer coordinates, the first folder being used for storing all sub-images of the image. If the image resolution of a certain layered pathological section image is 512 × 512, and the target level is 1 according to the above-mentioned layering method, the layer coordinate (z coordinate) of the pathological section image is 1.
Next, according to the cutting mode of the target image, the horizontal coordinate value or the vertical coordinate value of the plurality of sub-images of the target image can be determined. As shown in fig. 3, a cut coordinate diagram of an image with an image resolution of 1024 x 1024 is shown. As can be seen from fig. 3, the transverse coordinate value (x-coordinate) is constant when cut in the longitudinal direction, and the longitudinal coordinate value (y-coordinate) is constant when cut in the transverse direction. Continuing with the example of 512 by 512 pathological section images, it can be cut 2 times into 4 sub-images with coordinates (0, 0, 1), (1, 0, 1), (0, 1, 1), (1, 1, 1), respectively. And then creating a plurality of second folders according to the transverse coordinate values or the longitudinal coordinate values in the first folder. In the cutting method described with reference to fig. 3, if the second folder is created in a vertical cutting manner corresponding to the x coordinate, for example, x is 0, and x is 1 … …, if the second folder is created in a horizontal cutting manner corresponding to the y coordinate, for example, y is 0, and y is 1 … …, a subfolder corresponding to the x coordinate is stored in each subfile created in the x coordinate, or a subfolder corresponding to the y coordinate, for example, x coordinate is 0 is stored in each subfile created in the y coordinate, and a plurality of sub-images having x coordinate of 0 in the image are stored in the subfolder, and each sub-image is divided by y coordinate. Referring to FIG. 4a, a memory diagram of z-coordinates is shown in accordance with an embodiment of the present invention; referring to FIG. 4b, a schematic diagram of a memory of x coordinates according to an embodiment of the present invention is shown; referring to FIG. 4c, a schematic diagram of a memory of the y-coordinate of the embodiment of the present invention is shown.
According to the above description, the target coordinates of the embodiment of the present invention include a target horizontal coordinate value and a target vertical coordinate value, and the step of determining the target sub-image to be displayed from the plurality of sub-images according to the target coordinates in the storage manner provided in fig. 4 includes:
and determining a target sub-image to be displayed from the first folder and the second folder according to the target transverse coordinate value and the target longitudinal coordinate value. If the target level is 1 and the target coordinate is (0, 0), the server searches a second folder with x coordinate (target horizontal coordinate value) of 0 in a first folder with the name of 1, then determines a target sub-image with y coordinate (target vertical coordinate value) of 0 in the second folder, and then returns the target sub-image to the WEB terminal for display.
Example two:
referring to fig. 5, a flowchart illustrating steps of another image transmission method according to an embodiment of the present invention is shown, and is applied to a WEB side, where the method specifically includes the following steps:
step S501, when receiving a trigger operation aiming at a target image on a browser interface, generating a target image request; the target image request comprises a target level and target coordinates;
step S502, sending the target image request to a server in communication connection with the WEB terminal;
step S503, receiving a target sub-image returned by the server aiming at the target image request; the target sub-image is a sub-image determined according to the target coordinate after the target image is cut according to the target level;
and step S504, displaying the target sub-image on a browser interface of the WEB terminal.
Step S501 to step S504 explain possible implementation steps of another image transmission method according to the embodiment of the present invention from the perspective of the WEB end, and the specific implementation principle refers to embodiment one, which is not described herein. In the embodiment of the invention, the layered and cut processed image is acquired from the server, so that the image which the user wants to view can be quickly loaded, the corresponding position is amplified to be 5 times, 10 times, 20 times and 40 times, the viewing cost is low and the application range is wide as the image is amplified and reduced on a microscope, and the problems that the image with higher resolution cannot be directly opened or the opening and viewing speed is very low in the conventional image viewer are solved.
In an optional embodiment of the present invention, the WEB end stores the display resolution of the browser interface and an image resolution corresponding to the maximum level value of the target image; before executing step S501, the following steps may be specifically included:
determining screen pixel coordinates on the browser interface according to the triggering operation;
and converting the screen pixel coordinate into the target coordinate according to the ratio of the display resolution of the browser interface to the image resolution of the image corresponding to the maximum hierarchy value of the target image.
In practical application, when a user performs an image magnification operation, a mouse or a gesture clicks any position of a WEB side screen, and the WEB side can directly identify the screen resolution. Specifically, for example, the screen resolution is 512 × 512, the target image resolution is 256 × 256, the image resolution of the image corresponding to the maximum hierarchy value is 1024 × 1024, and the ratio of the two is 1: 2, the currently acquired screen pixel coordinates are (100 ), according to the above steps, the pixel coordinate values obtained in the image resolution of 1024 × 1024 are (200 ), the size of each image cut by 1024 × 256 is 256 × 256, that is, the image includes 256 pixels, and then the coordinate of the coordinate system of 200 × 200 on the image of 1024 × 1024 is (0, 0), as shown in fig. 6, which shows a relationship diagram of the pixel coordinate values and the coordinate system coordinates according to the embodiment of the present invention. Since the image corresponding to the maximum hierarchical value of the target image and the requested target image are both established according to a three-dimensional coordinate system, the coordinates of the coordinate system of 200 × 200 on the 1024 × 1024 image are also regarded as the coordinates on the target image, i.e., the target coordinates are (0, 0).
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Example three:
referring to fig. 7, a schematic structural diagram of an image transmission apparatus according to an embodiment of the present invention is shown, and the image transmission apparatus is applied to a server 700, and the apparatus may specifically include the following modules:
a target image request receiving module 701, configured to receive a target image request sent by a WEB end in communication connection with the server; the target image request is generated when the WEB terminal receives a trigger operation aiming at a target image on a browser interface and comprises a target level and a target coordinate;
a target image obtaining module 702, configured to obtain, for the target image request, a target image corresponding to the target hierarchy;
an image determining module 703, configured to determine whether the target image has been cut;
an image cutting module 704, configured to cut the target image into a plurality of sub-images when it is determined that the target image is not cut;
a target sub-image determining module 705, configured to determine a target sub-image to be displayed from the multiple sub-images according to the target coordinates;
a target sub-image sending module 706, configured to send the target sub-image to the WEB end; and the WEB terminal is used for displaying the target sub-image on a browser interface of the WEB terminal.
In an optional embodiment of the present invention, the server stores a plurality of layers of images with different image resolutions corresponding to the target image;
the target image acquisition module 702 further comprises the following sub-modules:
the target image judgment submodule is used for judging whether the target image is stored or not according to the target image request;
the first optimal cutting level determining submodule is used for determining an optimal cutting level according to a preset layering rule according to the target level, the maximum hierarchical value of the target image which can be layered and the image resolution corresponding to the maximum hierarchical value when the optimal cutting level is judged not to be stored;
an image determination sub-module for determining an image closest to the optimal cutting level from the plurality of layers of images of different image resolutions;
and the image compression submodule is used for compressing the image closest to the optimal cutting level to obtain a target image corresponding to the target level.
In an optional embodiment of the invention, the optimal cutting level determining sub-module further comprises:
a first cutting granularity determining submodule, configured to determine a first cutting granularity according to a preset first hierarchical rule and according to the target hierarchy and a maximum hierarchy value at which the target image can be hierarchically when it is determined that the target image is not stored;
the cutting frequency determining submodule is used for determining the cutting frequency of the target level according to the image resolution corresponding to the maximum level value and the first cutting granularity;
and the optimal cutting level second determining submodule is used for determining the optimal cutting level according to the cutting times of the target level and a preset second layering rule.
In an alternative embodiment of the present invention, the image cutting module 704 includes the following sub-modules:
a second cutting granularity determining submodule, configured to perform a power operation using a difference between the optimal cutting level and the target level as a preset base exponent when the optimal cutting level is determined not to be cut, and multiply a result of the power operation by a preset cutting granularity to determine a second cutting granularity;
and the specific cutting submodule is used for cutting the target image into a plurality of sub-images according to the cutting times of the target level and the second cutting granularity.
In an optional embodiment of the present invention, after the target image is cut into a plurality of sub-images, the apparatus may further include:
a cutting granularity judging module, configured to judge whether an image resolution of each of the plurality of sub-images is the same as the second cutting granularity;
and the sub-image pasting module is used for pasting the sub-image which does not meet the second cutting granularity to a transparent base map with the second cutting granularity.
In an optional embodiment of the present invention, after the target image is cut into a plurality of sub-images, the apparatus may specifically include the following modules:
the coordinate determination module is used for establishing a three-dimensional coordinate system on the image corresponding to the maximum cutting level corresponding to the target image, and determining the layer coordinates of the target image and the transverse coordinate values or the longitudinal coordinate values of a plurality of sub-images of the target image according to the target level;
the first folder creating module is used for creating a first folder corresponding to the layer coordinates;
a second folder creating module, configured to create, in the first folder, a plurality of second folders according to the lateral coordinate value or the longitudinal coordinate value;
a sub-image storage module for storing a plurality of sub-images having the lateral coordinate value or the longitudinal coordinate value in a second folder corresponding to the lateral coordinate value or the longitudinal coordinate value;
the target coordinates comprise a target lateral coordinate value and a target longitudinal coordinate value, and the target sub-image determination module 705 comprises the following sub-modules:
and the to-be-displayed determining submodule is used for determining a target sub-image to be displayed from the first file folder and the second file folder according to the target transverse coordinate value and the target longitudinal coordinate value.
Example four:
referring to fig. 8, a schematic structural diagram of another image transmission apparatus according to an embodiment of the present invention is shown, and is applied to a WEB end 800, where the apparatus may specifically include the following modules:
a target image request generating module 801, configured to generate a target image request when receiving a trigger operation for requesting a target image on a browser interface; the target image request comprises a target level and target coordinates;
a target image request sending module 802, configured to send the target image request to a server communicatively connected to the WEB end;
a target sub-image receiving module 803, configured to receive a target sub-image returned by the server for the target image request; the target sub-image is a sub-image determined according to the target coordinate after the target image is cut according to the target level;
and the target sub-image display module 804 is configured to display the target sub-image on a browser interface of the WEB end.
In an optional embodiment of the present invention, the WEB end stores the display resolution of the browser interface and an image resolution corresponding to the maximum level value of the target image; before generating the target image request, the apparatus may specifically include the following modules:
the screen pixel coordinate determination module is used for determining the screen pixel coordinate on the browser interface according to the triggering operation;
and the target coordinate conversion module is used for converting the screen pixel coordinate into the target coordinate according to the ratio of the display resolution of the browser interface to the image resolution of the image corresponding to the maximum hierarchy value of the target image.
For an embodiment of the image transmission apparatus, since it is basically similar to an embodiment of an image transmission method, the description is relatively simple, and for the relevant points, reference may be made to part of the description of an embodiment of an image transmission method.
Based on the same inventive concept, another embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps in the method according to any of the above-mentioned embodiments of the present application.
Based on the same inventive concept, another embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the electronic device implements the steps of the method according to any of the above embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The image transmission method and the image transmission device provided by the present invention are described in detail above, and the principle and the implementation of the present invention are explained in the present document by applying specific examples, and the description of the above embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. An image transmission method applied to a server, the method comprising:
receiving a target image request sent by a WEB end in communication connection with the server; wherein the target image request comprises a target level and target coordinates;
obtaining a target image corresponding to the target level for the target image request;
judging whether the target image is cut or not;
if the target image is not cut, cutting the target image into a plurality of sub-images;
determining a target sub-image to be displayed from the plurality of sub-images according to the target coordinates;
and sending the target sub-image to the WEB terminal.
2. The method according to claim 1, wherein the server stores a plurality of layers of images with different image resolutions corresponding to the target image;
for the target image request, obtaining a target image corresponding to the target level comprises:
judging whether the target image is stored or not according to the target image request;
if the image is judged to be not stored, determining an optimal cutting level according to the target level, the maximum level value of the target image which can be layered and the image resolution corresponding to the maximum level value and a preset layering rule;
determining an image closest to the optimal cut level from the plurality of layers of images of different image resolutions;
and compressing the image closest to the optimal cutting level to obtain a target image corresponding to the target level.
3. The method as claimed in claim 2, wherein if it is determined that the target image is not stored, the step of determining an optimal segmentation level according to the target level, a maximum hierarchical level value of the target image, and an image resolution corresponding to the maximum hierarchical level value, and according to a preset hierarchical rule further comprises:
if the judgment result is that the target image is not stored, determining a first cutting granularity according to the target hierarchy and the maximum hierarchy value of the target image which can be layered and a preset first layering rule;
determining the cutting times of the target level according to the image resolution corresponding to the maximum level value and the first cutting granularity;
and determining the optimal cutting level according to the cutting times of the target level and a preset second layering rule.
4. The method of claim 3, wherein the step of segmenting the target image into a plurality of sub-images if determined not to be segmented comprises:
if the cutting level is not cut, taking the difference value of the optimal cutting level and the target level as the exponent of a preset base number to carry out power operation, and multiplying the result of the power operation by the preset cutting granularity to determine a second cutting granularity;
and cutting the target image into a plurality of sub-images according to the cutting times of the target level and the second cutting granularity.
5. The method of claim 4, wherein after the target image is sliced into a plurality of sub-images, the method further comprises:
judging whether the image resolution of each sub-image in the plurality of sub-images is the same as the second cutting granularity;
and pasting the sub-image which does not meet the second cutting granularity to a transparent base map with the second cutting granularity.
6. The method of claim 4, wherein after the target image is sliced into a plurality of sub-images, the method comprises:
establishing a three-dimensional coordinate system on an image corresponding to the maximum cutting level corresponding to the target image, and determining the layer coordinates of the target image and the transverse coordinate values or longitudinal coordinate values of a plurality of sub-images of the target image according to the target level;
creating a first folder corresponding to the layer coordinates;
creating a plurality of second folders in the first folder according to the transverse coordinate value or the longitudinal coordinate value;
storing a plurality of sub-images having the lateral coordinate value or the longitudinal coordinate value in a second folder corresponding to the lateral coordinate value or the longitudinal coordinate value;
the target coordinates comprise a target transverse coordinate value and a target longitudinal coordinate value, and the step of determining the target sub-image to be displayed from the plurality of sub-images according to the target coordinates comprises the following steps:
and determining a target sub-image to be displayed from the first folder and the second folder according to the target transverse coordinate value and the target longitudinal coordinate value.
7. An image transmission method is applied to a WEB side, and comprises the following steps:
generating a target image request when receiving a trigger operation aiming at a request target image on a browser interface; the target image request comprises a target level and target coordinates;
sending the target image request to a server in communication connection with the WEB terminal;
receiving a target sub-image returned by the server according to the target image request, wherein the target sub-image is a sub-image determined according to the target coordinate after the target image is cut according to the target level;
and displaying the target sub-image on a browser interface of the WEB terminal.
8. The method according to claim 7, wherein the WEB side stores the display resolution of the browser interface and the image resolution corresponding to the maximum level value of the target image; before generating the target image request, the method comprises:
determining screen pixel coordinates on the browser interface according to the triggering operation;
and converting the screen pixel coordinate into the target coordinate according to the ratio of the display resolution of the browser interface to the image resolution of the image corresponding to the maximum hierarchy value of the target image.
9. An image transmission apparatus applied to a server, the apparatus comprising:
the target image request receiving module is used for receiving a target image request sent by a WEB terminal in communication connection with the server; wherein the target image request comprises a target level and target coordinates;
a target image obtaining module, configured to obtain, for the target image request, a target image corresponding to the target hierarchy;
the image judging module is used for judging whether the target image is cut or not;
the image cutting module is used for cutting the target image into a plurality of sub-images when the target image is judged not to be cut;
the target sub-image determining module is used for determining a target sub-image to be displayed from the plurality of sub-images according to the target coordinates;
the target sub-image sending module is used for sending the target sub-image to the WEB terminal; and the WEB terminal is used for displaying the target sub-image on a browser interface of the WEB terminal.
10. An image transmission device, applied to a WEB side, the device comprising:
the target image request generation module is used for generating a target image request when receiving a trigger operation aiming at a request target image on a browser interface; the target image request comprises a target level and target coordinates;
the target image request sending module is used for sending the target image request to a server in communication connection with the WEB terminal;
the target sub-image receiving module is used for receiving a target sub-image returned by the server aiming at the target image request; the target sub-image is a sub-image determined according to the target coordinate after the target image is cut according to the target level;
and the target sub-image display module is used for displaying the target sub-image on a browser interface of the WEB terminal.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111930326A (en) * 2020-06-30 2020-11-13 西安万像电子科技有限公司 Image processing method, device and system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004062671A (en) * 2002-07-30 2004-02-26 Dream Technologies Kk System and method for displaying image as if object is three-dimensionally expressed
CN101339570A (en) * 2008-08-12 2009-01-07 北京航空航天大学 Efficient distributed organization and management method for mass remote sensing data
CN102572276A (en) * 2010-12-24 2012-07-11 索尼公司 Information processor, image data optimization method and program
US20150070357A1 (en) * 2013-09-09 2015-03-12 Opus Medicus, Inc. Systems and methods for high-resolution image viewing
CN105989130A (en) * 2015-02-16 2016-10-05 高德软件有限公司 Electronic map display method and device and electronic device
CN106599119A (en) * 2016-11-30 2017-04-26 广州极飞科技有限公司 Image data storage method and apparatus
CN109979571A (en) * 2019-02-25 2019-07-05 视联动力信息技术股份有限公司 A kind of pathological picture loading method and device

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004062671A (en) * 2002-07-30 2004-02-26 Dream Technologies Kk System and method for displaying image as if object is three-dimensionally expressed
CN101339570A (en) * 2008-08-12 2009-01-07 北京航空航天大学 Efficient distributed organization and management method for mass remote sensing data
CN102572276A (en) * 2010-12-24 2012-07-11 索尼公司 Information processor, image data optimization method and program
US20150070357A1 (en) * 2013-09-09 2015-03-12 Opus Medicus, Inc. Systems and methods for high-resolution image viewing
CN105989130A (en) * 2015-02-16 2016-10-05 高德软件有限公司 Electronic map display method and device and electronic device
CN106599119A (en) * 2016-11-30 2017-04-26 广州极飞科技有限公司 Image data storage method and apparatus
CN109979571A (en) * 2019-02-25 2019-07-05 视联动力信息技术股份有限公司 A kind of pathological picture loading method and device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111930326A (en) * 2020-06-30 2020-11-13 西安万像电子科技有限公司 Image processing method, device and system

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