CN114785901A - Image retrieval method and system - Google Patents
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Abstract
The invention provides an image retrieval method and system, comprising the following steps: step S1, the central task scheduling processor receives the image retrieval request sent by the client, and judges whether the topological graph is matched with the client which is in the same network with the client sending the image retrieval request and stores the image data to be retrieved according to the image retrieval request: if yes, the matched client is used as the adaptive client, the network address of the adaptive client is obtained and used as the adaptive network address, and the step S2 is turned to; if not, turning to the step S3; step S2, the client accesses the adaptive client according to the adaptive network address to obtain the image data to be called and stored in the internal local memory for the user to call and read; step S3, the client obtains the image data to be retrieved from the preconfigured server and stores the image data in the local memory for the user to retrieve. The method has the beneficial effect that the parallel retrieval processing of the image data to be retrieved can be carried out according to the image retrieval requests of the plurality of clients.
Description
Technical Field
The invention relates to the technical field of image retrieval, in particular to an image retrieval method and an image retrieval system.
Background
In the hospital system, the doctor needs to call medical images to provide basis for writing reports, the real-time requirement for image calling is higher, the number of rows of equipment is increased, the number of images for single examination is increased to 2000 pairs or more, the data size can reach 1G, the network transmission is greatly challenged for ensuring the calling fluency, the current image calling and reading mostly adopts a client/server mode, and the client adopts a cache technology image to a local disk, so that the subsequent image calling and reading speed is improved.
However, the current retrieval method and system have the following problems: 1. when the parallel retrieval amount is high, the pressure of the server is too high, and the hardware configuration of the server must be improved to meet the requirement of concurrent retrieval; 2. for the server is deployed on the cloud host, the image data is repeatedly read in the department of internal medicine, so that network flow is wasted.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an image retrieval method, which comprises the steps of configuring a central task scheduling processor in advance, connecting at least one client, wherein a topological graph formed by a plurality of clients is stored in the central task scheduling processor;
the image retrieval method specifically comprises the following steps:
step S1, the central task scheduling processor receives an image retrieval request sent by the client, and determines, according to the image retrieval request, whether a client that is in the same network as the client that sent the image retrieval request and stores image data to be retrieved is matched in the topological graph:
if yes, the matched client is used as an adaptive client, the network address of the adaptive client is obtained and used as an adaptive network address, and then the step S2 is turned to;
if not, go to step S3;
step S2, the client accesses the adaptive client according to the adaptive network address to obtain the image data to be called and stored in a local memory inside the client for the user to call and read, and then quits;
step S3, the client obtains the image data to be retrieved from a pre-configured server and stores the image data to the local storage for the user to retrieve.
Preferably, the topological graph further includes associated information of historical image data locally stored by each corresponding client, where the associated information includes the network address of the corresponding client;
the step S1 includes:
step S11, the central task scheduling processor determines whether a client in the same network as the client that sent the image retrieval request is matched in the topological graph according to the image retrieval request and each network address:
if yes, go to step S12;
if not, go to step S3;
step S12, the central task scheduling processor determines whether the matched client stores the image data to be retrieved according to the image retrieval request and the association information:
if yes, the matched client is used as the adaptive client, the network address of the adaptive client is obtained and used as the adaptive network address, and then the step S2 is switched to;
if not, the process goes to step S3.
Preferably, the step of acquiring the image data to be retrieved by the client and storing the image data to be retrieved in the local memory inside the client further includes:
and registering the corresponding association information into the central task scheduling processor according to the image data to be retrieved, and adding the client into the topological graph by the central task scheduling processor according to the association information.
Preferably, the associated information includes first attribute information corresponding to the historical image data, and the image retrieval request includes second attribute information of the image data to be retrieved;
in step S12, when the second attribute information matches the first attribute information, the central task scheduling processor determines that the matched client stores the image data to be retrieved;
in step S3, the historical image data corresponding to the matched first attribute information is obtained and output as the image data to be retrieved.
Preferably, the associated information further includes a storage validity period corresponding to the historical image data, and then the client acquires the image data to be called and stores the image data to be called in the local memory, and then further includes a topological graph updating process, where the topological graph updating process includes:
step A1, continuously counting and updating a storage time of the image data to be called in the local memory;
step a2, determining whether the storage time is greater than the storage validity period corresponding to the image data to be retrieved:
if yes, deleting the corresponding client side in the topological graph;
if not, returning to the step A1.
Preferably, when the client executes a shutdown operation, the client sends a shutdown signal to the central task scheduling processor, and then the process of updating the topology map further includes:
the central task scheduling processor judges whether the closing signal is received:
if so, updating the running state of the corresponding client in the topological graph to be a closed state;
if not, the running state of the corresponding client in the topological graph is kept to be an opening state.
Preferably, if each client in the topology map is respectively used as an edge node, the process of adding the client to the topology map by the central task scheduling processor according to the association information includes:
the central task scheduling processor obtains the network address corresponding to the client from the associated information, and judges whether the network address is matched with the client with the same network address in the topological graph:
if yes, the client is used as the edge node and added to a network identifier corresponding to the network address;
if not, a new network identifier corresponding to the network address is created, and the client is added to the new network identifier as the edge node.
The invention also provides an image retrieval system, which applies the image retrieval method and is provided with a central task scheduling processor in advance, the central task scheduling processor is connected with at least one client, and the central task scheduling processor comprises:
the first control module is used for traversing the topological graph according to the image retrieval request when the central task scheduling processor receives the image retrieval request sent by the client, and taking the matched client as an adaptive client and acquiring a network address of the adaptive client as an adaptive network address when the matched client is in the same network with the client sending the image retrieval request and stores image data to be retrieved;
the second control module is connected with the first control module and used for controlling the client to access the adaptive client according to the adaptive network address to acquire the image data to be called and read when the adaptive network address is received and storing the image data to be called and read into a local memory in the client for a user to call and read; and
and when the adaptive network address is not received, controlling the client to obtain the image data to be retrieved from a pre-configured service end and storing the image data to be retrieved into the local memory for the user to retrieve.
Preferably, the central task scheduling processor further includes a data processing module, connected to the second control module, and configured to register corresponding association information according to the image data to be retrieved and add the client to the topological graph according to the association information.
Preferably, the topological graph further includes associated information of historical image data locally stored by each corresponding client, where the associated information includes the network address of the corresponding client;
the first control module comprises:
the first processing unit is used for matching in the topological graph according to the image retrieval request and each network address and outputting a control signal representing further judgment when the first processing unit is matched with a client which is in the same network as the client sending the image retrieval request;
and the second processing unit is connected with the first processing unit and used for judging whether the matched client side stores the image data to be retrieved or not according to the image retrieval request and the associated information when the control signal is received, and taking the matched client side as the adaptive client side and acquiring the network address of the adaptive client side as the adaptive network address when the image data to be retrieved is stored in the client side.
The technical scheme has the following advantages or beneficial effects:
1. the image retrieval method and the system can perform parallel retrieval processing on the image data to be retrieved according to the image retrieval requests of a plurality of clients without increasing the hardware configuration of a server;
2. the image retrieval method and the system can search the adaptive client and the adaptive network address from the topological graph according to the image retrieval request of the client, directly acquire the image data to be retrieved from the adaptive client, and reduce network flow consumption;
3. according to the image retrieval method and the image retrieval system, the image data to be retrieved is stored in the local memory of the client for retrieval, so that the image data to be retrieved can be prevented from being retrieved repeatedly between the clients or between the client and the server, and the waste of network flow is effectively reduced.
Drawings
FIG. 1 is a flow chart of the steps of the method according to the preferred embodiment of the present invention;
FIG. 2 is a flowchart illustrating the detailed process of step S1 according to the preferred embodiment of the present invention;
FIG. 3 is a flowchart illustrating steps of a topology map update process according to a preferred embodiment of the present invention;
FIG. 4 is a schematic diagram of the system according to the preferred embodiment of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and the specific embodiments. The present invention is not limited to the embodiment, and other embodiments may be included in the scope of the present invention as long as the gist of the present invention is satisfied.
In a preferred embodiment of the present invention, based on the above problems in the prior art, an image retrieval method is provided, in which a central task scheduling processor 1 is configured in advance, and is connected to at least one client 2, and a topological graph formed by a plurality of clients 2 is stored in the central task scheduling processor 1;
the image retrieval method is shown in fig. 1, and specifically includes the following steps:
step S1, the central task scheduling processor 1 receives an image retrieval request sent by the client 2, and determines whether the image retrieval request matches a client 2, which is in the same network as the client 2 sending the image retrieval request and stores the image data to be retrieved, in the topological graph according to the image retrieval request:
if yes, the matched client 2 is used as an adaptation client, the network address of the adaptation client is obtained and used as an adaptation network address, and then the step S2 is turned to;
if not, go to step S3;
step S2, the client 2 accesses the adaptive client according to the adaptive network address to obtain the image data to be retrieved and stores the image data to a local memory in the client 2 for the user to retrieve, and then quits;
in step S3, the client 2 obtains the image data to be retrieved from a pre-configured server 3 and stores the image data to the local storage for the user to retrieve.
Specifically, in this embodiment, the client 2 may serve as a data acquirer and may also serve as a data provider, that is, after acquiring the adaptive network path, the client 2 may acquire the image data to be retrieved from the corresponding client 2 and may also provide the image data to be retrieved to another client 2, so as to avoid that the client 2 needs to access the server 3 and acquire the image data to be retrieved from the server 3 each time, thereby reducing network traffic waste.
Specifically, in this embodiment, after receiving an image retrieval request sent by the client 2, the central task scheduling processor 1 first determines whether the client 2 in the same network exists in the topological graph, and if the client 2 in the same network exists, further determines whether image data to be retrieved is stored in the client 2, and if so, takes the client 2 as an adaptive client and obtains a network address of the adaptive client as an adaptive network address, and the client 2 directly obtains the required image data to be retrieved from the adaptive client.
Preferably, the central task scheduling processor 1 can perform parallel retrieval processing on the image retrieval requests of the plurality of clients 2 at the same time, and does not need to add additional server hardware configuration, thereby effectively reducing the cost.
In a preferred embodiment of the present invention, the topology map further includes associated information of the historical image data locally stored by each corresponding client 2, where the associated information includes a network address of the corresponding client 2;
step S1 is shown in fig. 2 and includes:
step S11, the central task scheduling processor 1 determines whether the client 2 in the same network as the client 2 that sent the image retrieval request is matched in the topology map according to the image retrieval request and each network address:
if yes, go to step S12;
if not, go to step S3;
step S12, the central task scheduling processor 1 determines whether the matched client 2 stores the image data to be retrieved according to the image retrieval request and the association information:
if yes, the matched client 2 is taken as an adaptive client and the network address of the adaptive client is obtained as an adaptive network address, and then the process goes to step S2;
if not, the process goes to step S3.
Specifically, in the embodiment, if the image data to be retrieved is directly stored in the central task scheduling processor 1, the processing speed of the central task scheduling processor 1 is reduced along with the increase of the number of the clients 2, so that the image data to be retrieved is stored in the local memory inside the client 2.
Preferably, in the case where the image data to be retrieved is not stored in the central task scheduling processor 1, the historical image data may be determined and retrieved as the image data to be retrieved by the association information corresponding to the historical image data stored in the local memory by each client 2.
In a preferred embodiment of the present invention, after the client 2 obtains the image data to be retrieved and stores the image data to the local memory inside the client 2, the method further includes:
and registering corresponding association information into the central task scheduling processor 1 according to the image data to be retrieved, and adding the client 2 into the topological graph by the central task scheduling processor 1 according to the association information.
Specifically, in this embodiment, after each client 2 acquires complete image data to be retrieved, the association information of the client 2 needs to be registered in the central task scheduling processor 1, so as to increase the number of clients 2 in the topological graph, thereby improving the probability of successful matching of the clients 2, and increasing the speed of acquiring the image data to be retrieved by the clients 2.
Preferably, as the number of the clients 2 in the topological graph increases, a situation that one client 2 can match to obtain a plurality of adaptive clients may occur, at this time, the length of the network path may be sorted according to the network address of each adaptive client, and the image data to be retrieved is preferably obtained from the adaptive client with the shortest network path.
Preferably, due to the existence of a plurality of matching client sides which are successfully matched, the integrity of the acquired image data to be retrieved can be further guaranteed.
In a preferred embodiment of the present invention, the association information includes first attribute information corresponding to the historical image data, and the image retrieval request includes second attribute information of the image data to be retrieved;
in step S12, when the second attribute information matches the first attribute information, the central task scheduling processor 1 determines that the matched client 2 stores the image data to be retrieved;
in step S3, the historical image data corresponding to the matched first attribute information is obtained and output as the image data to be retrieved.
Specifically, in this embodiment, since the central task scheduling processor 1 does not store the image data to be retrieved, an index file representing the image data to be retrieved is needed to facilitate matching and obtaining the image data to be retrieved, and the running memory of the central task scheduling processor 1 is not occupied too much, so that the running speed of the central task scheduling processor 1 can be effectively increased.
Preferably, the first attribute information in the association information may be used as an index file of historical image data stored by each client 2 in the topological graph, the second attribute information in the image retrieval request may be used as an index file of image data to be retrieved, and when the two index files are matched, it means that the historical image data is the same as the image data to be retrieved, and the image data to be retrieved can be obtained according to the first attribute information, and it is not necessary to perform matching judgment on the historical image data and the image file in the image data to be retrieved, so that the complexity of judgment can be reduced.
In a preferred embodiment of the present invention, the association information further includes a storage validity period corresponding to the historical image data, and the client 2 further includes a topology map updating process after acquiring the image data to be called and storing the image data to the internal local storage, where the topology map updating process is shown in fig. 3 and includes:
step A1, continuously counting and updating a storage time of the image data to be retrieved in the local memory;
step A2, judging whether the storage time is longer than the storage period corresponding to the image data to be called:
if yes, deleting the corresponding client 2 in the topological graph;
if not, return to step A1.
Specifically, in this embodiment, in consideration of the fact that the image data to be retrieved may be out of date and need to be deleted, the storage time of the image data to be retrieved in the local storage may be continuously counted and updated, and when the storage time is longer than the storage validity period, the corresponding client 2 is deleted from the topological graph.
Preferably, as the clients 2 influence the sending of the retrieval request, the number of the clients 2 in the topological graph increases, and the redundancy of the clients 2 in the topological graph can be reduced by deleting the clients 2 with the expiration of the storage period, so that the invalid clients 2 can be cleaned.
In a preferred embodiment of the present invention, when the client 2 executes the shutdown operation, it sends a shutdown signal to the central task scheduling processor 1, and the process of updating the topology further includes:
the central task scheduling processor 1 determines whether a shutdown signal is received:
if so, updating the running state of the corresponding client 2 in the topological graph to be a closed state;
if not, the running state of the corresponding client 2 in the topological graph is kept to be the opening state.
Specifically, in this embodiment, considering that the client 2 is turned off and on, the operating state corresponding to the client 2 is updated in real time by receiving a turn-off signal sent when the client 2 is turned off.
In a preferred embodiment of the present invention, each client 2 in the topology map is used as an edge node, and the process of the central task scheduling processor 1 adding the client 2 into the topology map according to the association information includes:
the central task scheduling processor 1 obtains the network address corresponding to the client 2 from the association information, and determines whether the client 2 with the same network address is matched in the topological graph:
if yes, adding the client 2 serving as an edge node to a network identifier corresponding to the network address;
if not, a new network identifier corresponding to the network address is created, and the client 2 is added to the new network identifier as an edge node.
Specifically, in this embodiment, if the network addresses of the edge nodes in the client 2 and the topology map are the same, the corresponding edge node is selected according to the reference number balancing principle, and the operation of adding 1 to the reference number of the edge node is performed, so as to prevent the edge node from being lost when the topology map is updated.
Preferably, the reference number balancing principle indicates that when a plurality of edge nodes successfully matched with each other exist, the edge node with the smallest reference number is preferably selected, so that the reference numbers of the edge nodes tend to be balanced as much as possible.
Preferably, because the edge nodes with expired storage validity are deleted and do not exist in the topological graph, the number of references of the edge nodes can be counted, if the number of references of the edge nodes is increased, the edge nodes are represented not to be lost, and if the number of references of the edge nodes is not increased, the edge nodes are represented to be lost.
In a preferred embodiment of the present invention, an image retrieval system is further provided, in which the image retrieval method is applied, a central task scheduling processor 11 is configured in advance and connected to at least one client 2, and the central task scheduling processor 11 is as shown in fig. 4, and includes:
the first control module 11 is configured to traverse the topological graph according to the image retrieval request when the central task scheduling processor 11 receives the image retrieval request sent by the client 2, and when the matched client 2, which is in the same network as the client 2 sending the image retrieval request and stores image data to be retrieved, is matched, take the matched client 2 as an adaptive client and obtain a network address of the adaptive client as an adaptive network address;
the second control module 12 is connected to the first control module 11, and is used for controlling the client 2 to access the adaptive client according to the adaptive network address when receiving the adaptive network address so as to obtain the image data to be retrieved and store the image data to a local memory inside the client 2 for the user to retrieve; and
when the adaptive network address is not received, the control client 2 acquires the image data to be retrieved from a pre-configured server 3 and stores the image data to the local memory for the user to retrieve.
In a preferred embodiment of the present invention, the central task scheduling processor 11 further includes a data processing module 13, connected to the second control module 12, for registering corresponding association information according to the image data to be retrieved and adding the client 2 to the topological graph according to the association information.
In a preferred embodiment of the present invention, the topology map further includes associated information of the historical image data locally stored by each corresponding client 2, where the associated information includes a network address of the corresponding client 2;
the first control module 11 comprises:
the first processing unit 111 is configured to match the image retrieval request and each network address in the topological graph, and output a control signal representing further determination when the image retrieval request is matched to the client 2 in the same network as the client 2 that sent the image retrieval request;
the second processing unit 112 is connected to the first processing unit 111, and is configured to determine whether the matched client 2 stores image data to be retrieved according to the image retrieval request and the association information when receiving the control signal, and use the matched client 2 as an adaptive client and obtain a network address of the adaptive client as an adaptive network address when the client 2 stores the image data to be retrieved.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made without departing from the spirit and scope of the invention.
Claims (10)
1. The image retrieval method is characterized in that a central task scheduling processor is configured in advance and connected with at least one client, and a topological graph formed by a plurality of clients is stored in the central task scheduling processor;
the image retrieval method specifically comprises the following steps:
step S1, the central task scheduling processor receives an image retrieval request sent by the client, and determines, according to the image retrieval request, whether a client that is in the same network as the client that sends the image retrieval request and stores image data to be retrieved is matched in the topological graph:
if yes, the matched client is used as an adaptive client, the network address of the adaptive client is obtained and used as an adaptive network address, and then the step S2 is turned to;
if not, go to step S3;
step S2, the client accesses the adaptive client according to the adaptive network address to obtain the image data to be called and stored in a local memory inside the client for the user to call and read, and then quit;
step S3, the client obtains the image data to be retrieved from a pre-configured service end and stores the image data to be retrieved in the local storage for the user to retrieve.
2. The image retrieval method according to claim 1, wherein the topological graph further includes association information of historical image data locally stored by each corresponding client, the association information including the network address of the corresponding client;
the step S1 includes:
step S11, the central task scheduling processor determines whether a client in the same network as the client that sent the image retrieval request is matched in the topological graph according to the image retrieval request and each network address:
if yes, go to step S12;
if not, go to step S3;
step S12, the central task scheduling processor determines whether the matched client stores the image data to be retrieved according to the image retrieval request and the association information:
if yes, the matched client is used as the adaptive client, the network address of the adaptive client is obtained as the adaptive network address, and then the step S2 is turned to;
if not, the process goes to step S3.
3. The image retrieval method according to claim 2, wherein the step of the client obtaining the image data to be retrieved and saving the image data to be retrieved to the local memory inside the client further comprises:
and registering the corresponding association information into the central task scheduling processor according to the image data to be retrieved, and adding the client into the topological graph by the central task scheduling processor according to the association information.
4. The image retrieval method according to claim 2, wherein the related information includes first attribute information corresponding to the historical image data, and the image retrieval request includes second attribute information of the image data to be retrieved;
in step S12, when the second attribute information matches the first attribute information, the central task scheduling processor determines that the matched image data to be retrieved is stored in the client;
in step S3, the history image data corresponding to the matched first attribute information is acquired and output as the image data to be retrieved.
5. The image retrieval method according to claim 4, wherein the association information further includes a storage validity period corresponding to the historical image data, and after the client acquires the image data to be retrieved and stores the image data to be retrieved in the internal local memory, the client further includes a topology map updating process, and the topology map updating process includes:
step A1, continuously counting and updating a storage time of the image data to be called in the local memory;
step a2, determining whether the storage time is greater than the storage validity period corresponding to the image data to be retrieved:
if yes, deleting the corresponding client in the topological graph;
if not, returning to the step A1.
6. The method as claimed in claim 5, wherein the client sends a shutdown signal to the central task scheduling processor when performing a shutdown operation, and the topology updating process further comprises:
the central task scheduling processor judges whether the closing signal is received:
if so, updating the running state of the corresponding client in the topological graph to be a closed state;
if not, the running state of the corresponding client in the topological graph is kept to be an opening state.
7. The image retrieval method according to claim 3, wherein each of the clients in the topology map is taken as an edge node, and the process of adding the client to the topology map by the central task scheduling processor according to the association information includes:
the central task scheduling processor obtains the network address corresponding to the client from the associated information, and judges whether the network address is matched with the client with the same network address in the topological graph:
if yes, the client is used as the edge node and added to a network identifier corresponding to the network address;
if not, a new network identifier corresponding to the network address is created, and the client is added to the new network identifier as the edge node.
8. An image retrieval system, wherein a central task scheduling processor is configured in advance to connect with at least one client by applying the image retrieval method as claimed in any one of claims 1 to 7, the central task scheduling processor comprising:
the first control module is used for traversing the topological graph according to the image retrieval request when receiving the image retrieval request sent by the client, and taking the matched client as an adaptive client and acquiring a network address of the adaptive client as an adaptive network address when the matched client is matched with a client which is in the same network and stores image data to be retrieved and sends the image retrieval request;
the second control module is connected with the first control module and used for controlling the client to access the adaptive client according to the adaptive network address to acquire the image data to be called and read when the adaptive network address is received and storing the image data to be called and read into a local memory in the client for a user to call and read; and
and when the adaptive network address is not received, the client is controlled to obtain the image data to be retrieved from a preset service end and store the image data to be retrieved into the local memory for the user to retrieve.
9. The system according to claim 8, wherein the central task scheduling processor further comprises a data processing module, connected to the second control module, for registering corresponding association information according to the image data to be retrieved and adding the client to the topological graph according to the association information.
10. The image retrieval system of claim 8, wherein the topological graph further includes association information of historical image data locally stored by each corresponding client, the association information including the network address of the corresponding client;
the first control module comprises:
the first processing unit is used for matching the image retrieval request and each network address in the topological graph and outputting a control signal for further judgment when the control signal is matched with a client side which is in the same network with the client side sending the image retrieval request;
and the second processing unit is connected with the first processing unit and used for judging whether the matched client side stores the image data to be retrieved or not according to the image retrieval request and the associated information when the control signal is received, and taking the matched client side as the adaptive client side and acquiring the network address of the adaptive client side as the adaptive network address when the image data to be retrieved is stored in the client side.
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