CN111145143B - Problem image determining method and device, electronic equipment and storage medium - Google Patents
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Abstract
The disclosure relates to a method and a device for determining a problem image, electronic equipment and a computer readable storage medium, relates to the technical field of image recognition, and can be applied to a scene for displaying the problem image determined from a plurality of images back to a target position according to a preset display mode. The problem image determining method comprises the following steps: acquiring an image to be processed uploaded by a target position, and performing marking processing on the image to be processed to add a corresponding code value identifier to the image to be processed; screening problem images with image attribute values smaller than a preset threshold value from the images to be processed, and determining code value identifiers corresponding to the problem images; and returning the code value identification to the target position, and displaying the problem image at the target position in a preset display mode according to the code value identification. The method and the device can determine the problem image from the plurality of images to be processed and display the problem image back to the user side in a preset display mode, so that a user can accurately position the problem image from the plurality of images.
Description
Technical Field
The present disclosure relates to the field of image recognition technology, and in particular, to a problem image determination method, a problem image determination apparatus, an electronic device, and a computer-readable storage medium.
Background
When the applicant applies for insurance claim through an online mode, the electronic materials related to the insurance need to be sent out, and the electronic materials are few, more or hundreds of, or even more. In a real situation, due to the influence of factors such as photographing equipment, photographing angle, photographing environment and the like, some photos are inevitably problematic in terms of definition, integrity and the like, so that serious interference may be caused to a subsequent claim auditing link, and claim aging is affected.
In this case, the insurance company needs to send a problem piece message to the applicant through the system to prompt the applicant to take a photograph again and upload the problem picture. And when the applicant receives the problem piece message, re-submitting the picture in a self-service mode according to the prompt so as to carry out subsequent auditing.
However, the application of the claim involves more types of pictures, each type has tens or hundreds of pictures, the picture sequence is not fixed, and once a certain picture or a certain pictures are not clear or the content is not full, a problem piece message is issued to the applicant, and the applicant may not accurately locate the problem picture according to the issued problem piece message.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
An object of the present disclosure is to provide a problem image determining method, a problem image determining apparatus, a problem image determining system, an electronic device, and a computer-readable storage medium, which further overcome, at least to some extent, the problem that a user cannot accurately locate a problem image from a plurality of images.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the invention.
According to a first aspect of the present disclosure, there is provided a problem image determining method including: acquiring an image to be processed uploaded by a target position, and performing marking processing on the image to be processed to add a corresponding code value identifier to the image to be processed; screening problem images with image attribute values smaller than a preset threshold value from the images to be processed, and determining code value identifiers corresponding to the problem images; and returning the code value identification to the target position, and displaying the problem image at the target position in a preset display mode according to the code value identification.
Optionally, after acquiring the image to be processed uploaded by the target location, the method further includes: acquiring a storage address and an image name of an image to be processed; and generating an image identifier corresponding to the image to be processed based on the storage address and the image name.
Optionally, performing the marking processing on the image to be processed to add the corresponding code value identifier to the image to be processed, including: identifying the image to be processed to determine a coding area of the image to be processed; and performing marking processing on the image to be processed according to the image identifier and the coding region, and adding a code value identifier for the image to be processed.
Optionally, performing marking processing on the image to be processed according to the image identifier and the coding area, and adding a code value identifier to the image to be processed, including: determining an image code value of an image to be processed according to the image identification, and determining a code value display style of the image code value; and adding the image code value into the coding area according to the code value display style, and adding a code value identifier for the image to be processed.
Optionally, the image attribute value includes a sharpness and an integrity, the preset threshold includes a sharpness threshold and an integrity threshold, and the step of screening the problem image with the image attribute value smaller than the preset threshold from the image to be processed includes: determining the integrity of an image to be processed, and acquiring an integrity threshold corresponding to the integrity; if the integrity is smaller than the integrity threshold, determining the image to be processed as a problem image; if the integrity is greater than the integrity threshold, determining the definition of the image to be processed, and acquiring a definition threshold corresponding to the definition; judging whether the definition is smaller than a definition threshold; and if the definition is smaller than the definition threshold, determining the image to be processed as a problem image.
Optionally, the method further comprises: determining the problem type of the problem image, and adding corresponding problem description information to the problem image according to the problem type; and acquiring an image code value of the problem image, and transmitting the problem description information to the user side according to the image code value.
Optionally, displaying the problem image at the target position according to the code value identifier in a preset display mode includes: determining the display sequence of the images to be processed; taking the image to be processed which is not determined to be the problem image as a qualified image; determining that the display mode of the qualified image is an original image mode, and determining that the display mode of the problem image is a preset display mode; the preset display mode is different from the original image mode; and displaying the qualified image and the problem image at the target position according to the display sequence.
According to a second aspect of the present disclosure, there is provided a problem image determining apparatus including: the target position uploading module is used for uploading the target position to the target position, and the target position uploading module is used for uploading the target position to the target position; the problem image determining module is used for screening problem images with image attribute values smaller than a preset threshold value from the images to be processed and determining code value identifiers corresponding to the problem images; and the image display module is used for returning the code value identification to the target position and displaying the problem image at the target position in a preset display mode according to the code value identification.
Optionally, the problem image determining device further includes an image identifier determining module, configured to obtain a storage address and an image name of the image to be processed; and generating an image identifier corresponding to the image to be processed based on the storage address and the image name.
Optionally, the marking processing module comprises a marking processing unit, which is used for identifying and processing the image to be processed to determine the marking area of the image to be processed; and performing marking processing on the image to be processed according to the image identifier and the coding region, and adding a code value identifier for the image to be processed.
Optionally, the marking processing unit includes an identification adding subunit, configured to determine an image code value of the image to be processed according to the image identification, and determine a code value display style of the image code value; and adding the image code value into the coding area according to the code value display style, and adding a code value identifier for the image to be processed.
Optionally, the problem image determining module includes a problem image determining unit, configured to determine an integrity of the image to be processed, and acquire an integrity threshold corresponding to the integrity; if the integrity is smaller than the integrity threshold, determining the image to be processed as a problem image; if the integrity is greater than the integrity threshold, determining the definition of the image to be processed, and acquiring a definition threshold corresponding to the definition; judging whether the definition is smaller than a definition threshold; and if the definition is smaller than the definition threshold, determining the image to be processed as a problem image.
Optionally, the problem image determining device further includes a problem information adding module, configured to determine a problem type of the problem image, and add corresponding problem description information to the problem image according to the problem type; and acquiring an image code value of the problem image, and transmitting the problem description information to the user side according to the image code value.
Optionally, the image display module includes an image display unit, configured to determine a display order of the images to be processed; taking the image to be processed which is not determined to be the problem image as a qualified image; determining that the display mode of the qualified image is an original image mode, and determining that the display mode of the problem image is a preset display mode; the preset display mode is different from the original image mode; and displaying the qualified image and the problem image at the target position according to the display sequence.
According to a third aspect of the present disclosure, there is provided a problem image determination system including: the image uploading terminal is used for providing a target position for uploading the image to be processed; the interaction server is used for acquiring an image to be processed, and performing marking processing on the image to be processed to add a corresponding code value identifier to the image to be processed; the service processing server is used for screening the problem image from the image to be processed, sending the problem image to the image uploading terminal through the interaction server, and displaying the problem image at the target position according to a preset display mode.
According to a fourth aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory having stored thereon computer readable instructions which when executed by the processor implement the problem image determination method according to any one of the above.
According to a fifth aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the problem image determination method according to any one of the above.
The technical scheme provided by the disclosure can comprise the following beneficial effects:
in the method for determining the problem image in the exemplary embodiment of the disclosure, after the image to be processed is obtained, the image to be processed may be subjected to code marking processing to generate a corresponding code value identifier, the problem image with the definition and the integrity smaller than the preset threshold is screened out, the code value identifier of the problem image is recorded, the code value identifier is sent to the target position, and the problem image is displayed in a preset display mode. On the one hand, through coding processing of the image to be processed, a corresponding code value identifier can be added for the image to be processed, so that in the process of checking the image to be processed, a problem image is determined and a corresponding code value identifier is recorded. On the other hand, the code value identification of the problem image is recorded, and the code value identification can be sent to the target position, so that the problem image which needs to be displayed according to the preset display mode is determined from a plurality of images to be processed through the code value identification at the target position. In yet another aspect, the problem image is displayed in a preset display manner, so that an applicant can accurately locate the problem image visually, so as to re-upload the problem image.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort. In the drawings:
FIG. 1 schematically illustrates a flow chart of a problem image determination method according to an exemplary embodiment of the present disclosure;
FIG. 2 schematically illustrates a detailed flow chart of a problem image determination method according to an exemplary embodiment of the present disclosure;
FIG. 3 schematically illustrates a flow chart of adding code value identifications to an image to be processed according to an exemplary embodiment of the present disclosure;
FIG. 4 schematically illustrates a flow chart of adding code value identifications to an image to be processed according to an image identification and a coding region according to an exemplary embodiment of the present disclosure;
FIG. 5 schematically illustrates a flow chart of screening problem images from an image to be processed according to an exemplary embodiment of the present disclosure;
Fig. 6 schematically illustrates a structural diagram of a problem image determining method according to an exemplary embodiment of the present disclosure;
fig. 7 schematically illustrates a block diagram of a problem image determining apparatus according to an exemplary embodiment of the present disclosure;
FIG. 8 schematically illustrates a block diagram of a problem image determination system according to an exemplary embodiment of the present disclosure;
FIG. 9 schematically illustrates a block diagram of an electronic device according to an exemplary embodiment of the present disclosure;
fig. 10 schematically illustrates a schematic diagram of a computer-readable storage medium according to an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the disclosed aspects may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more software-hardened modules, or in different networks and/or processor devices and/or microcontroller devices.
When an applicant applies for insurance claims, the applicant needs to upload electronic application data containing application file pictures, and the application file pictures not only relate to more types, but also have more quantity. When the pictures in the electronic application data are unclear or incomplete, the system is generally adopted to issue problem image information to the applicant at present, so as to prompt the applicant to re-photograph and upload the problem pictures. And uploading the corresponding picture again in a self-service mode according to the prompt after the applicant receives the problem piece message.
However, since the types and the number of pictures related to the claim application are large, and the picture sequence is not fixed, a plurality of problems will occur when the message is sent to the downstream problem: (1) Because the format and word number of the downlink message are limited by the short message or micro-message platform, the problem piece message can not accurately and comprehensively embody the related content; (2) The applicant who receives the problem piece message has difficulty in accurately positioning the problem picture in a large number of pictures according to the message description; (3) If the applicant has missed transmission after uploading the picture again, the applicant needs to review again and issue a problem message, and in the process, the risk of user experience is easily generated, so that the time delay of claim settlement is caused, and the labor and communication cost are increased.
Based on this, in the present exemplary embodiment, there is provided first a problem image determining method, which may be implemented using a server, and also may be implemented using a terminal device, wherein the terminal described in the present disclosure may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), and a fixed terminal such as a desktop computer. Fig. 1 schematically illustrates a schematic diagram of a problem image determination method flow according to some embodiments of the present disclosure. Referring to fig. 1, the problem image determining method may include the steps of:
step S110, obtaining the image to be processed uploaded by the target position, and performing marking processing on the image to be processed to add a corresponding code value identifier to the image to be processed.
Step S120, problem images with image attribute values smaller than a preset threshold value are screened from the images to be processed, and code value identifiers corresponding to the problem images are determined.
And step S130, returning the code value identification to the target position, and displaying the problem image at the target position in a preset display mode according to the code value identification.
According to the problem image determining method in the present exemplary embodiment, on one hand, by performing coding processing on an image to be processed, a corresponding code value identifier may be added to the image to be processed, so that in a process of auditing the image to be processed, the problem image is determined and the corresponding code value identifier is recorded. On the other hand, the code value identification of the problem image is recorded, and the code value identification can be sent to the target position, so that the problem image which needs to be displayed according to the preset display mode is determined from a plurality of images to be processed through the code value identification at the target position. In yet another aspect, the problem image is displayed in a preset display manner, so that an applicant can accurately locate the problem image visually, so as to re-upload the problem image.
Next, a problem image determination method in the present exemplary embodiment will be further described.
In step S110, an image to be processed uploaded at the target position is obtained, and the image to be processed is subjected to code marking processing to add a corresponding code value identifier to the image to be processed.
In some exemplary embodiments of the present disclosure, the target location may be a user operation interface provided to the user capable of uploading the image to be processed, for example, the target location may be some mobile phone software (Application, APP) of the user terminal, a web page for uploading the image, a server for receiving the image uploaded by the user, or a terminal device provided by the user in a real place and capable of submitting the image, etc. The image to be processed may be an image that requires a series of processes such as image recognition.
In some application scenarios, when a user handles a certain target service and the target service requires the user to upload an image, the user may upload the image to be processed through the target location. For example, the specific application scenario may be a scenario in which an insurance claim user submits a claim application through an internet portal of an insurance company, for example, a scenario in which the insurance claim user performs an insurance claim application such as personal accident risk or property risk; the system can also be a scene that an applicant applies for certain specific rights and interests through an official channel, for example, an application scene that the applicant applies for a public rental house; it may also be a scenario where the user applies to acquire a certain entitlement. The present disclosure is not limited in any way to a specific application scenario. The present exemplary embodiment will be described in detail with respect to an application scenario in which an insurance claim user applies for insurance claim.
In the application scenario of insurance claims, the user needs to provide related electronic materials for danger, for example, the electronic materials can include photographs such as identity certificates, accident certificates, photographs such as visit records, user cases, discharge nodules, and photographs such as invoices, vehicles, and the like. The user can sequentially fill in user application information through the user prompt provided by the target position, and upload corresponding claim settlement data pictures so as to submit claim settlement application. The number of the pictures of the claim data can reach tens or even hundreds, and the number of the pictures is large.
The labeling process may be a process of performing a code value labeling process on the image to be processed. The code value identifier may be a code value added to the image to be processed for identifying the image after the image to be processed is coded. When the image to be processed is obtained, the image to be processed can be subjected to code marking, and a corresponding code value identifier is added for the image to be processed, so that a problem image can be determined based on the code value identifier.
According to some exemplary embodiments of the present disclosure, a storage address and an image name of an image to be processed are acquired; and generating an image identifier corresponding to the image to be processed based on the storage address and the image name. The memory address may be a memory address where the image to be processed is located, for example, the memory address may be "// File/Photos/Admin1". The image name may be a name corresponding to the image to be processed, for example, the image name may be "111.Jpg". The image identifier may be an identifier capable of uniquely determining a certain image, and in this exemplary embodiment, the image identifier may be formed by combining a storage address and an image name, for example, the image identifier may be "// File/photo/Admin 1/111. Jpg).
After the image to be processed is obtained, the storage address and the image name of the image to be processed can be determined, and the storage address and the image name are spliced and combined to generate the image identification of the image to be processed, so that the code printing processing is carried out on the image to be processed based on the image identification.
According to another exemplary embodiment of the present disclosure, an image to be processed is subjected to recognition processing to determine a coding region of the image to be processed; and performing marking processing on the image to be processed according to the image identifier and the coding region, and adding a code value identifier for the image to be processed. The identification process may be a process of identifying the image to be processed using an image identification technique, and the identification process may determine whether a specific image area in the image to be processed contains identifiable information. For example, optical character recognition (Optical Character Recognition, OCR) techniques may be employed to identify the image to be processed. The coding region may be a region in which an image code value may be added to the image to be processed, and in general, in order to make the image to be processed after coding processing not affect subsequent image verification, a region in the image to be processed, which does not include identifiable information, may be used as a coding region, i.e., a region that selects an image edge and does not include identifiable information content, is used as a coding region, and subsequent operation flows may not be affected. The marking process may be a process of adding a code value identification to the image to be processed. For example, it may be employed that a code value identification may be added to a corresponding image region of an image to be processed by the labeling process so as to distinguish the image from other images by the code value identification. The code value identification may be a code value corresponding to the image to be processed.
Referring to fig. 2, fig. 2 schematically shows a detailed flowchart of the problem image determination method. In step S210 to step S220, the applicant can add application information through the target position provided by the user operation layer, and upload the image; after receiving the image to be processed in the application information, the user interaction layer can perform coding processing on the image to be processed, and adds a corresponding code value identifier to the image to be processed.
Referring to fig. 3, fig. 3 schematically shows a flow chart of adding a code value identification to an image to be processed. In step S310, after performing image recognition processing on the image to be processed, a coding region to which a code value identifier can be added can be determined in the image to be processed; in step S320, an image identifier corresponding to the image to be processed is obtained, a code value corresponding to the image to be processed is determined according to the image identifier, the image to be processed is coded in the coding region, and the code value identifier is added to the image to be processed.
According to yet another exemplary embodiment of the present disclosure, an image code value of an image to be processed is determined according to an image identification, and a code value display style of the image code value is determined; and adding the image code value into the coding area according to the code value display style, and adding a code value identifier for the image to be processed. The image code value may be a code value that identifies the image as being distinct from other images. In this example embodiment, arabic numerals may be used as the image code values, and image code values corresponding to a plurality of images to be processed may be determined in sequence, so as to ensure that each image corresponds to a unique image code value, and after a matching relationship is established between the image identifier and the image code value, the image code values are stored in the database. For example, the matching relationship between the image identifier and the image code value may be stored in the form of key-value pairs, where the image code value may be a key (key) and the image identifier may be a value (value).
The code value display pattern may be a pattern in which image code values are displayed in an image to be processed. The code value identification may be an identification of adding the image code value to the image to be processed in a certain display style to distinguish the image to be processed from other images. For example, in the present exemplary embodiment, the coding tool Graphics tool may be used to perform drawing coding on the picture. Before the coding process, a display style of the image code value may be set, for example, a corresponding text color, text size, and font type may be selected for the image code value, and transparency of the image code value may be adjusted.
In addition, the method comprises the following steps. In consideration of maintaining the originality of the image, the image to be processed can be effectively backed up before coding, or a layer can be added on the image, and a code value identifier is added on the newly added layer to the image to be processed so as to maintain the originality of the image to be processed.
Referring to fig. 4, fig. 4 schematically shows a flow chart for adding a code value identification to an image to be processed based on the image identification and the coding region. In step S410, determining an image code value of the image according to the image identifier, and setting a display style of the image code value; in step S420, the image code value is added to the coding region according to the code value display style, and the operation of adding the code value identifier to the image to be processed is completed.
In step S120, a problem image with an image attribute value smaller than a preset threshold value is screened from the images to be processed, and a code value identifier corresponding to the problem image is determined.
In some exemplary embodiments of the present disclosure, sharpness may reflect how sharp each detail shadow and its boundaries are on the image to be processed. The integrity may be a value reflecting the integrity of the image content contained in the image to be processed. The preset threshold may be a value that is compared to sharpness or a value that is compared to integrity. The problem image may be an image having a problem, for example, the content or information contained in the image is incomplete, the definition of the image is too low, the information contained in the image cannot be recognized, and the like, and the image may be classified as the problem image. If the image attribute value of the image to be processed is smaller than the preset threshold value, the image is considered to be a problem image, and a new image needs to be uploaded again through the target position to replace the image to be processed so as to carry out a subsequent business process.
According to some exemplary embodiments of the present disclosure, determining an integrity of an image to be processed, and acquiring an integrity threshold corresponding to the integrity; if the integrity is smaller than the integrity threshold, determining the image to be processed as a problem image; if the integrity is greater than the integrity threshold, determining the definition of the image to be processed, and acquiring a definition threshold corresponding to the definition; judging whether the definition is smaller than a definition threshold; and if the definition is smaller than the definition threshold, determining the image to be processed as a problem image. The sharpness threshold may be a value for comparison with sharpness. The integrity threshold may be a value for comparison with integrity.
Referring to fig. 5, fig. 5 schematically shows a flow chart for screening problem images from images to be processed. In step S510, after an image to be processed is obtained, the integrity of the image may be determined, an integrity threshold corresponding to the integrity is obtained, the integrity of the image to be processed is compared with the integrity threshold, and the size relationship between the integrity and the integrity is determined. In step S520, if the integrity is smaller than the integrity threshold, it is indicated that there is a loss of information content contained in the image to be processed, and therefore, the image to be processed may be determined as a problem image. In step S530, if the integrity is greater than the integrity threshold, the sharpness of the image is determined, and a sharpness threshold corresponding to the sharpness is acquired. In step S540, the sharpness is compared with a sharpness threshold, and the magnitude relation between the sharpness and the sharpness threshold is determined. In step S550, if the sharpness is smaller than the sharpness threshold, it is indicated that the image to be processed is unclear and information contained in the image in question cannot be accurately recognized, and therefore, the image to be processed can be determined as a problem image.
According to another exemplary embodiment of the present disclosure, a question type of a question image is determined, and corresponding question description information is added to the question image according to the question type; and acquiring an image code value of the problem image, and transmitting the problem description information to the user side according to the image code value. The question type may be a type corresponding to a question in which the question image exists, and may include, for example, incomplete image, unclear image, and the like. The image code value can be a code value added for the problem image in the coding process; wherein each image to be processed corresponds to a unique image code value. The problem description information may be information describing a related problem existing in the problem image, and the problem description information corresponding to the problem image may be determined according to the type of the problem.
When uploading the image at the target position, different types of images can be divided, for example, the identification related image, the accident proof related image, the hospitalization proof related image and the invoice related image can be uploaded from different uploading inlets so as to acquire the image to be processed, and then the image content specifically contained in the image can be determined, so that the problem description information can be quickly determined according to the image types. Therefore, after a problem image is acquired, the problem type corresponding to the problem image can be determined first, and problem description information can be added to the problem image according to the problem type.
The method comprises the steps of obtaining an image code value of a problem image, establishing a corresponding relation between the image code value and problem description information, and sending the problem description information to a user side according to the image code value, so that a user can check the problem description information through the user side, and replacing, changing and other operations are performed on the problem image according to the problem description information. For example, the user side may be a social platform adopted by the applicant, and the problem description information is sent to the applicant through the social platform; the platform corresponding to the user side is not limited in any way in the present exemplary embodiment.
In step S130, the code value identifier is returned to the target position, and the problem image is displayed at the target position in a preset display manner according to the code value identifier.
In some exemplary embodiments of the present disclosure, the preset display mode may be a display mode corresponding to a target position of a problem image selected from the images to be processed, where the preset display mode is different from an original image mode of the images to be processed. For example, the preset display mode may be a bright display mode; the number can be added to the problem image and the highlighting display mode can be combined; the method may also be a method of adding an image mark to the problem image, which can be used to represent the problem image, and displaying the image mark, and the specific display mode of the preset display mode is not limited in any way in the disclosure.
After the code value identification of the problem image is returned to the target position, the determined problem image can be displayed at the target position in a preset display mode according to the code value identification, so that a user can intuitively and accurately position the problem image from a plurality of images, and the user can conveniently and sequentially change or replace the problem image.
Referring to fig. 2, in step S230, the service processing layer may audit the image to be processed, determine a problem image, and record an image code value of the problem image; in step S240, the image code value and the description information of the problem image are transmitted back to the user interaction layer; in step S250 to step S260, the user interaction layer returns the image information to the user operation layer according to the image code value to display the problem image, and sends down the problem description information to the applicant.
According to some exemplary embodiments of the present disclosure, a display order of images to be processed is determined; taking the image to be processed which is not determined to be the problem image as a qualified image; determining that the display mode of the qualified image is an original image mode, and determining that the display mode of the problem image is a preset display mode; the preset display mode is different from the original image mode; and displaying the qualified image and the problem image at the target position according to the display sequence.
The display order may be an image display order determined according to an image upload order. When uploading the images at the target positions, the uploading sequence of the images to be processed can be determined according to the sequence of the uploaded images, and the uploading sequence is used as the display sequence of the images to be processed. The qualified image may be an image whose sharpness is greater than a sharpness threshold and whose integrity is greater than an integrity threshold, and the recognition processing is performed on the qualified image to extract information contained in the image, so that the next business processing is performed according to the extracted image information.
The original image pattern may be a display mode of the image to be processed corresponding to the target position after the image uploading operation is finished; the original image mode is different from a preset display mode. For example, the original image style may be a thumbnail style corresponding to the image to be processed. After the images in the images to be processed are divided into two types of qualified images and problem images, the qualified images and the problem images can be displayed in the corresponding display modes respectively at the target positions according to the display sequence of the images to be processed. And displaying the qualified images and the problem images according to the original display sequence, wherein when the number of the images is large, a user can quickly determine the original image content contained in the problem images according to the sequence among the images, so that the problem images can be accurately replaced.
Referring to fig. 6, fig. 6 schematically shows a structural diagram of the problem image determination method. In the problem image determining method of the present disclosure, the determining process of the problem image is completed through data interaction between the user operation layer 610, the user interaction layer 620, and the service processing layer 630, and data interaction between databases. After the applicant uploads the image to be processed through the user operation layer, the user operation layer may store the image to be processed into the database 641 and transmit the image to be processed to the user interaction layer 620; the user interaction layer can add the code value identifier to the image to be processed, and the image to be processed added with the code value identifier is stored in the database 642; the business processing layer 630 examines the image to be processed, screens out the problem image, records and stores the image code value of the problem image, and stores the image code value in the database 643. After the image code value of the problem image is determined, the image code value can be transmitted back to the user interaction layer and the user operation layer so that the problem image can be displayed on the user operation layer by a preset display method, and the problem description information of the problem image can be issued through the user interaction layer.
In summary, the problem image determining method in the exemplary embodiment of the present disclosure obtains the image to be processed uploaded by the target position, and adds the corresponding code value identifier to the image to be processed; screening out a problem image from the image to be processed, and recording the code value identification of the problem image; and sending the code value identification to a target position, displaying the problem image in a preset display mode, and issuing problem description information of the problem image. On the one hand, the image to be processed is coded, and the corresponding code value identifier is added to the image to be processed, so that a certain image can be uniquely determined through the code value identifier in the subsequent image checking process. On the other hand, after the problem image is determined, the code value identification of the problem image is recorded and sent to the target position, so that the problem image can be determined from a plurality of images to be processed through the code value identification at the target position, and the problem image is displayed at the target position according to a preset display mode, so that an applicant can accurately position the problem image from a large number of images. On the other hand, after the problem image is determined, the problem description information can be sent to the user side corresponding to the applicant, so that the applicant can replace the problem image accurately according to the problem description information; in addition, the problems of universality and the like caused by too individuality or too much content of the problem description information can be avoided. On the other hand, after the applicant accurately locates the problem image, the problem image is accurately replaced according to the problem description information, so that the service processing time can be shortened, the manpower and communication cost can be reduced, and good use experience is brought to the user.
It should be noted that although the steps of the method of the present invention are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in that particular order or that all of the illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
Further, in the present exemplary embodiment, there is also provided a problem image determining apparatus. Referring to fig. 7, the problem image determining apparatus 700 may include: a code processing module 710, a problem image determination module 720, and an image display module 730.
Specifically, the marking processing module 710 may be configured to obtain an image to be processed uploaded at the target position, and perform marking processing on the image to be processed to add a corresponding code value identifier to the image to be processed; the problem image determining module 720 may be configured to screen a problem image with an image attribute value smaller than a preset threshold from the image to be processed, and determine a code value identifier corresponding to the problem image; the image display module 730 may be configured to return the code value identifier to the target location, and display the problem image at the target location in a preset display manner according to the code value identifier.
When the problem image determining device 700 obtains the image to be processed, a corresponding code value identifier can be added to the image to be processed, after the problem image with the image attribute value smaller than the preset threshold value is screened from the image to be processed, the code value identifier of the problem image can be recorded, and the code value identifier is returned to the target position to display the problem image in a preset display mode at the target position, and an applicant can quickly and accurately locate the problem image from a plurality of images to be processed by checking the image which is displayed back at the target position in the preset display mode, so that the problem image is subjected to subsequent processing.
In an exemplary embodiment of the present disclosure, based on the foregoing aspect, the problem image determining apparatus further includes an image identification determining module configured to: acquiring a storage address and an image name of an image to be processed; and generating an image identifier corresponding to the image to be processed based on the storage address and the image name.
In an exemplary embodiment of the present disclosure, based on the foregoing, the tag processing module includes a tag processing unit configured to: identifying the image to be processed to determine a coding area of the image to be processed; and performing marking processing on the image to be processed according to the image identifier and the coding region, and adding a code value identifier for the image to be processed.
In an exemplary embodiment of the present disclosure, based on the foregoing, the tag processing unit includes an identification adding subunit configured to: determining an image code value of an image to be processed according to the image identification, and determining a code value display style of the image code value; and adding the image code value into the coding area according to the code value display style, and adding a code value identifier for the image to be processed.
In an exemplary embodiment of the present disclosure, based on the foregoing, the problem image determining module includes a problem image determining unit configured to: determining the integrity of an image to be processed, and acquiring an integrity threshold corresponding to the integrity; if the integrity is smaller than the integrity threshold, determining the image to be processed as a problem image; if the integrity is greater than the integrity threshold, determining the definition of the image to be processed, and acquiring a definition threshold corresponding to the definition; judging whether the definition is smaller than a definition threshold; and if the definition is smaller than the definition threshold, determining the image to be processed as a problem image.
In an exemplary embodiment of the present disclosure, based on the foregoing aspect, the problem image determining apparatus further includes a problem information adding module configured to: determining the problem type of the problem image, and adding corresponding problem description information to the problem image according to the problem type; and acquiring an image code value of the problem image, and transmitting the problem description information to the user side according to the image code value.
In an exemplary embodiment of the present disclosure, based on the foregoing, the image display module includes an image display unit configured to: determining the display sequence of the images to be processed; taking the image to be processed which is not determined to be the problem image as a qualified image; determining that the display mode of the qualified image is an original image mode, and determining that the display mode of the problem image is a preset display mode; the preset display mode is different from the original image mode; and displaying the qualified image and the problem image at the target position according to the display sequence.
In the present exemplary embodiment, there is also provided a problem image determination system. Referring to fig. 8, the problem image determining system 800 may include an image uploading terminal 810, an interaction server 820, and a service processing server 830.
Specifically, the image uploading terminal 810 may be configured to provide a target location for uploading an image to be processed; the interaction server 820 may be configured to obtain an image to be processed, and perform a labeling process on the image to be processed to add a corresponding code value identifier to the image to be processed; the service processing server 830 may be configured to screen a problem image from the image to be processed, send the problem image to the image uploading terminal through the interaction server, and display the problem image at the target position according to a preset display mode.
The problem image determining system 800 may record the code value identifier of the problem image after determining the problem image from the to-be-processed image by acquiring the to-be-processed image uploaded at the target position and adding the corresponding code value identifier to the to-be-processed image, and send the code value identifier to the target position, so that the problem image is displayed at the target position in a preset display manner according to the code value identifier. The applicant can accurately position the problem image from a plurality of images through a preset display mode, so that the efficiency of whole business processing is improved, and the labor and communication cost are saved.
The specific details of each virtual problem image determining apparatus module in the foregoing description have been described in detail in the corresponding problem image determining method, and thus are not described herein.
It should be noted that although several modules or units of the problem image determining apparatus are mentioned in the above detailed description, such division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
Those skilled in the art will appreciate that the various aspects of the invention may be implemented as a system, method, or program product. Accordingly, aspects of the invention may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 900 according to such an embodiment of the invention is described below with reference to fig. 9. The electronic device 900 shown in fig. 9 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 9, the electronic device 900 is embodied in the form of a general purpose computing device. Components of electronic device 900 may include, but are not limited to: the at least one processing unit 910, the at least one storage unit 920, a bus 930 connecting the different system components (including the storage unit 920 and the processing unit 910), and a display unit 940.
Wherein the storage unit stores program code that is executable by the processing unit 910 such that the processing unit 910 performs steps according to various exemplary embodiments of the present invention described in the above-described "exemplary methods" section of the present specification.
The storage unit 920 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 921 and/or cache memory 922, and may further include Read Only Memory (ROM) 923.
The storage unit 920 may include a program/utility 924 having a set (at least one) of program modules 925, such program modules 925 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The bus 930 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 900 may also communicate with one or more external devices 970 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 900, and/or any device (e.g., router, modem, etc.) that enables the electronic device 900 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 950. Also, electronic device 900 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 960. As shown, the network adapter 960 communicates with other modules of the electronic device 900 over the bus 930. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 900, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the invention as described in the "exemplary methods" section of this specification, when said program product is run on the terminal device.
Referring to fig. 10, a program product 1000 for implementing the above-described method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
1. A problem image determining method, characterized by comprising:
Acquiring an image to be processed uploaded by a target position, and acquiring a storage address and an image name of the image to be processed; generating an image identifier corresponding to the image to be processed based on the storage address and the image name; performing identification processing on the image to be processed to determine a coding area of the image to be processed; performing marking processing on the image to be processed according to the image identifier and the coding region, and adding a code value identifier for the image to be processed;
screening problem images with image attribute values smaller than a preset threshold value from the images to be processed, and determining the code value identifiers corresponding to the problem images;
and returning the code value identification to the target position, and displaying the problem image at the target position in a preset display mode according to the code value identification.
2. The method according to claim 1, wherein the performing the marking process on the image to be processed according to the image identifier and the coding region, and adding the code value identifier to the image to be processed, includes:
determining an image code value of the image to be processed according to the image identifier, and determining a code value display style of the image code value;
And adding the image code value to the coding region according to the code value display style, and adding the code value identifier for the image to be processed.
3. The method according to claim 1, wherein the image attribute value includes sharpness and integrity, the preset threshold includes sharpness threshold and integrity threshold, and the screening the problem image with the image attribute value smaller than the preset threshold from the image to be processed includes:
determining the integrity of the image to be processed, and acquiring the integrity threshold corresponding to the integrity;
if the integrity is smaller than the integrity threshold, determining the image to be processed as the problem image;
if the integrity is greater than the integrity threshold, determining the definition of the image to be processed, and acquiring the definition threshold corresponding to the definition;
judging whether the definition is smaller than the definition threshold;
and if the definition is smaller than the definition threshold, determining the image to be processed as the problem image.
4. A problem image determining method according to claim 1 or 3, characterized in that the method further comprises:
Determining the problem type of the problem image, and adding corresponding problem description information to the problem image according to the problem type;
and acquiring an image code value of the problem image, and sending the problem description information to a user side according to the image code value.
5. The method according to claim 1, wherein displaying the problem image at the target position according to the code value identifier in a preset display manner includes:
determining the display sequence of the images to be processed;
taking the image to be processed which is not determined to be the problem image as a qualified image;
determining that the display mode of the qualified image is an original image mode, and determining that the display mode of the problem image is the preset display mode; wherein the preset display mode is different from the original image mode;
and displaying the qualified image and the problem image at the target position according to the display sequence.
6. A problem image determining apparatus, characterized by comprising:
the target position uploading module is used for uploading a target position to be processed and obtaining a storage address and an image name of the target position; generating an image identifier corresponding to the image to be processed based on the storage address and the image name; performing identification processing on the image to be processed to determine a coding area of the image to be processed; performing marking processing on the image to be processed according to the image identifier and the coding region, and adding a code value identifier for the image to be processed;
The problem image determining module is used for screening problem images with image attribute values smaller than a preset threshold value from the images to be processed and determining the code value identifiers corresponding to the problem images;
and the image display module is used for returning the code value identification to the target position and displaying the problem image at the target position in a preset display mode according to the code value identification.
7. An electronic device, comprising:
a processor; and
a memory having stored thereon computer readable instructions which, when executed by the processor, implement the problem image determination method according to any one of claims 1 to 5.
8. A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the problem image determination method according to any one of claims 1 to 5.
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