CN113284137A - Paper wrinkle detection method, device, equipment and storage medium - Google Patents
Paper wrinkle detection method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN113284137A CN113284137A CN202110704359.7A CN202110704359A CN113284137A CN 113284137 A CN113284137 A CN 113284137A CN 202110704359 A CN202110704359 A CN 202110704359A CN 113284137 A CN113284137 A CN 113284137A
- Authority
- CN
- China
- Prior art keywords
- value
- wrinkle
- lens
- paper
- pixel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30176—Document
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention relates to artificial intelligence and provides a paper wrinkle detection method, a device, equipment and a storage medium. The method comprises the steps of determining a paper position and a binocular camera, storing text paper on the paper position, wherein the binocular camera comprises a first lens and a second lens, obtaining a first position obtained by shooting each position point in the text paper by the first lens and a second position obtained by shooting each position point in the text paper by the second lens, determining the parallax of each position point in the binocular camera, obtaining the lens difference value of the first lens and the second lens, calculating the pixel depth value of each position point according to the parallax, the focal length value of the binocular camera and the lens difference value, preprocessing the pixel depth value to obtain a target depth value, extracting a depth reference value from the target depth value, and determining a detection result according to the depth reference value and the pixel depth value. The invention can accurately detect the detection result of the text paper. In addition, the invention also relates to a block chain technology, and the detection result can be stored in the block chain.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a paper wrinkle detection method, a device, equipment and a storage medium.
Background
In the insurance processing link, it is generally necessary to recognize information in the text paper and further process services such as insurance purchase using the recognized information. Practice shows that the information in the text paper can be quickly and accurately identified when the text paper needing to be identified is smoother. Therefore, detecting the wrinkles of the text sheets before the text sheets are recognized becomes a problem to be solved urgently.
At present, the wrinkle probability of each pixel point in the detection model analysis image which is mainly trained is used for determining the wrinkle condition of the paper to be detected, however, when the shooting light of the paper to be detected is different from the shooting light of the training image for training the detection model, the pixel value is influenced by the shooting light which is different, and therefore the detection accuracy of the paper to be detected is low due to the mode.
Disclosure of Invention
In view of the above, it is desirable to provide a paper wrinkle detection method, device, apparatus and storage medium, which can accurately detect the detection result of a text paper.
In one aspect, the present invention provides a paper wrinkle detection method, including:
when a wrinkle detection request is received, determining a paper position and a binocular camera according to the wrinkle detection request, wherein text paper is stored in the paper position, and the binocular camera comprises a first lens and a second lens;
acquiring a first position obtained by shooting each position point in the text paper by the first lens, and acquiring a second position obtained by shooting each position point in the text paper by the second lens;
determining the parallax of each position point in the binocular camera according to the first position and the second position;
acquiring a focal length value of the binocular camera, and acquiring a lens difference value of the first lens and the second lens;
calculating the pixel depth value of each position point according to the parallax, the focal length value and the lens difference value;
preprocessing the pixel depth value to obtain a target depth value, and extracting a depth reference value from the target depth value;
and determining the detection result of the text paper according to the depth reference value and the pixel depth value.
According to a preferred embodiment of the present invention, the acquiring the text sheet according to the wrinkle detection request and the binocular camera includes:
analyzing the message of the wrinkle detection request to obtain data information carried by the message;
acquiring information indicating a position from the data information as a position identification code;
determining information corresponding to the position identification code as the paper position;
acquiring information indicating a camera from the data information as a camera model;
determining a camera corresponding to the camera model as the binocular camera.
According to a preferred embodiment of the present invention, the determining the parallax of each position point in the binocular camera according to the first position and the second position comprises:
acquiring a horizontal resolution value of the binocular camera, and dividing the horizontal resolution value by a configuration value to obtain a target resolution value;
extracting a horizontal length from the first position as a first length;
calculating the sum of the target resolution value and the first length to obtain a first distance from each position point to a preset imaging surface;
extracting the horizontal length from the second position as a second length;
calculating the sum of the target resolution value and the second length to obtain a first operation result, and calculating the difference between the lens difference and the first operation result to obtain a second distance from each position point to the preset imaging surface;
and calculating the difference value of the first distance and the second distance to obtain the parallax.
According to a preferred embodiment of the present invention, the calculating the pixel depth value of each position point according to the parallax, the focal length value and the lens difference value comprises:
calculating the product of the focal length value and the lens difference value to obtain the size value of each position point;
and dividing the size value by the parallax to obtain the pixel depth value.
According to a preferred embodiment of the present invention, the preprocessing the pixel depth value to obtain a target depth value includes:
for any one of the pixel depth values, calculating the pixel number of the any one depth value in the pixel depth values, and calculating the total pixel amount of the pixel depth values;
calculating the quantity proportion of any depth value in the pixel depth values according to the pixel quantity and the pixel total quantity;
calculating a proportional mean value and a proportional dispersion degree of the quantity proportion, and calculating a product of the proportional dispersion degree and a preset multiple to obtain a second operation result;
taking the difference value of the proportional mean value and the second operation result as a left interval, and taking the sum of the proportional mean value and the second operation result as a right interval construction proportional interval;
determining any depth value of the quantity proportion not in the proportion interval as an abnormal depth value;
and removing the abnormal depth value from the pixel depth value to obtain the target depth value.
According to a preferred embodiment of the present invention, the determining the detection result of the text sheet according to the depth reference value and the pixel depth value includes:
calculating the difference value between the pixel depth value and the depth reference value to obtain a pixel wrinkle value of each position point;
determining a wrinkle interval where the pixel wrinkle value is located, and determining a weight value corresponding to the wrinkle interval as a target weight value;
performing weighted operation on the pixel wrinkle value based on the target weight value to obtain a total wrinkle value of the text paper;
comparing the total wrinkle value with a preset wrinkle threshold value;
when the total wrinkle value is greater than or equal to the preset wrinkle threshold value, determining the detection result as a wrinkle; or
And when the total wrinkle value is smaller than the preset wrinkle threshold value, determining the detection result as flat.
According to a preferred embodiment of the present invention, the determining the detection result of the text sheet according to the depth reference value and the pixel depth value further includes:
acquiring a preset error value;
calculating a difference value between the depth reference value and the preset error value to obtain a first numerical value, and calculating the sum of the depth reference value and the preset error value to obtain a second numerical value;
taking the first numerical value as a left interval, and taking the second numerical value as a right interval to construct a reference interval;
calculating the number of wrinkles of the pixel depth value not in the reference interval;
calculating the wrinkle ratio of the number of wrinkles in the total amount of the pixels, and comparing the wrinkle ratio with a preset ratio threshold;
when the wrinkle ratio is larger than or equal to the preset ratio threshold, determining the detection result as a wrinkle; or
And when the wrinkle ratio is smaller than the preset ratio threshold value, determining the detection result as flat.
In another aspect, the present invention further provides a paper wrinkle detection device, including:
the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for determining text paper and a binocular camera according to a wrinkle detection request when the wrinkle detection request is received, the text paper is stored in the paper position, and the binocular camera comprises a first lens and a second lens;
the acquiring unit is further configured to acquire a first position obtained by shooting each position point in the text paper by the first lens, and acquire a second position obtained by shooting each position point in the text paper by the second lens;
the determining unit is used for determining the parallax of each position point in the binocular camera according to the first position and the second position;
the acquisition unit is further used for acquiring a focal length value of the binocular camera and acquiring a lens difference value of the first lens and the second lens;
the calculation unit is used for calculating the pixel depth value of each position point according to the parallax, the focal length value and the lens difference value;
the extraction unit is used for preprocessing the pixel depth value to obtain a target depth value and extracting a depth reference value from the target depth value;
the determining unit is further configured to determine a detection result of the text sheet according to the depth reference value and the pixel depth value.
In another aspect, the present invention further provides an electronic device, including:
a memory storing computer readable instructions; and
a processor executing computer readable instructions stored in the memory to implement the paper wrinkle detection method.
In another aspect, the present invention also provides a computer-readable storage medium, in which computer-readable instructions are stored, and the computer-readable instructions are executed by a processor in an electronic device to implement the paper wrinkle detection method.
According to the technical scheme, the parallax error and the pixel depth value can be accurately determined through the first position and the second position, the abnormal depth value can be eliminated through preprocessing the pixel depth value, and therefore the accuracy of the depth reference value is improved. Meanwhile, the invention does not need to train the model by using a large amount of data, thereby improving the determination efficiency of the detection result.
Drawings
Fig. 1 is an application environment diagram of the paper wrinkle detection method of the present invention.
FIG. 2 is a flow chart of a preferred embodiment of the method for detecting wrinkles in paper according to the present invention.
FIG. 3 is a functional block diagram of a preferred embodiment of the paper wrinkle detection device according to the present invention.
Fig. 4 is a schematic structural diagram of an electronic device for implementing a paper wrinkle detection method according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
Fig. 1 is a diagram showing an application environment of the method for detecting a wrinkle in a sheet of paper according to the present invention. The application environment diagram comprises electronic equipment 1 and a binocular camera 2, wherein the electronic equipment 1 is communicated with the binocular camera 2. The binocular camera 2 includes a first lens 20 and a second lens 21.
Wherein, the electronic device 1 controls the binocular camera 2 to shoot text paper by using the first lens 20 and the second lens 21.
The binocular camera 2 sends information generated by shooting the text paper to the electronic device 1. The information generated by the binocular camera 2 capturing the text paper includes, but is not limited to: coordinate information generated by each position point in the text sheet, and the like. Wherein the position point refers to any point on the text paper. The text sheet is composed of a plurality of the position points.
Fig. 2 is a flow chart of a paper wrinkle detection method according to a preferred embodiment of the present invention. The order of the steps in the flow chart may be changed and some steps may be omitted according to different needs.
The method for detecting the wrinkle of the paper is applied to one or more electronic devices, wherein the electronic devices are devices capable of automatically performing numerical calculation and/or information processing according to computer readable instructions which are set or stored in advance, and the hardware of the electronic devices includes but is not limited to a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device and the like.
The electronic device may be any electronic product capable of performing human-computer interaction with a user, for example, a Personal computer, a tablet computer, a smart phone, a Personal Digital Assistant (PDA), a game machine, an interactive Internet Protocol Television (IPTV), a smart wearable device, and the like.
The electronic device may include a network device and/or a user device. Wherein the network device includes, but is not limited to, a single network electronic device, an electronic device group consisting of a plurality of network electronic devices, or a Cloud Computing (Cloud Computing) based Cloud consisting of a large number of hosts or network electronic devices.
The network in which the electronic device is located includes, but is not limited to: the internet, a wide area Network, a metropolitan area Network, a local area Network, a Virtual Private Network (VPN), and the like.
S10, when a fold detection request is received, determining a paper position and a binocular camera according to the fold detection request, wherein text paper is stored in the paper position, and the binocular camera comprises a first lens and a second lens.
In at least one embodiment of the invention, the wrinkle detection request may be triggered by a user purchasing the insurance product, and the wrinkle detection request may also be triggered by a selling user of the insurance product.
The information carried by the wrinkle detection request includes, but is not limited to: a location identification code, a camera model, etc.
The text paper refers to paper needing wrinkle detection.
The binocular camera is a camera including a left lens and a right lens.
In at least one embodiment of the present invention, the electronic device determining the paper position and the binocular camera according to the wrinkle detection request includes:
analyzing the message of the wrinkle detection request to obtain data information carried by the message;
acquiring information indicating a position from the data information as a position identification code;
determining information corresponding to the position identification code as the paper position;
acquiring information indicating a camera from the data information as a camera model;
determining a camera corresponding to the camera model as the binocular camera.
Wherein, the data information includes, but is not limited to: a label indicating the location identification code, a label indicating the camera model, etc.
Through the embodiment, the data information can be quickly acquired, so that the paper position and the binocular camera can be quickly determined.
And S11, acquiring a first position obtained by shooting each position point in the text paper by the first lens, and acquiring a second position obtained by shooting each position point in the text paper by the second lens.
In at least one embodiment of the present invention, the position point refers to any one point on the text sheet. The text sheet is composed of a plurality of the position points.
The first position and the second position may be coordinate information determined based on a coordinate system constructed with an optical center of the first lens as an origin, or the first position and the second position may be coordinate information determined based on a coordinate system constructed with an optical center of the second lens as an origin.
The first position comprises a horizontal coordinate length and a vertical coordinate length, and the second position comprises a horizontal coordinate length and a vertical coordinate length.
In at least one embodiment of the invention, when it is detected that the first lens finishes shooting the text paper, the electronic equipment acquires the first position from the binocular camera by using the paper number of the text paper.
Correspondingly, a second position obtained by the electronic device acquiring each position point in the text paper through the second lens is the same as a first position obtained by the electronic device acquiring each position point in the text paper through the first lens, which is not described in detail herein.
And S12, determining the parallax of each position point in the binocular camera according to the first position and the second position.
In at least one embodiment of the present invention, the parallax refers to a direction difference between any position point of the first lens shooting and any position point of the second lens shooting.
In at least one embodiment of the present invention, the electronic device determining the disparity of each location point in the binocular camera according to the first location and the second location comprises:
acquiring a horizontal resolution value of the binocular camera, and dividing the horizontal resolution value by a configuration value to obtain a target resolution value;
extracting a horizontal length from the first position as a first length;
calculating the sum of the target resolution value and the first length to obtain a first distance from each position point to a preset imaging surface;
extracting the horizontal length from the second position as a second length;
calculating the sum of the target resolution value and the second length to obtain a first operation result, and calculating the difference between the lens difference and the first operation result to obtain a second distance from each position point to the preset imaging surface;
and calculating the difference value of the first distance and the second distance to obtain the parallax.
Wherein the configuration value is typically set to 2.
The horizontal length refers to a horizontal coordinate length in the first position and a horizontal coordinate length in the second position.
The first distance can be accurately determined through the target resolution value and the first length, and the second distance can be accurately determined through the target resolution value, the second length and the lens difference value, so that the parallax can be accurately determined.
And S13, acquiring the focal length value of the binocular camera and acquiring the lens difference value of the first lens and the second lens.
In at least one embodiment of the present invention, the focal length value refers to a distance from an optical center of the first lens to an imaging point or a distance from an optical center of the second lens to an imaging point in the binocular camera. Further, the distance from the optical center of the first lens to an imaging point in the binocular camera is equal to the distance from the optical center of the second lens to the imaging point in the binocular camera.
The lens difference is the distance from the optical center of the first lens to the optical center of the second lens.
In at least one embodiment of the present invention, the electronic device obtains a first preset tag, where the first preset tag is used to indicate a focal length, and the electronic device obtains information corresponding to both the first preset tag and the camera model as the focal length value.
The focal length value can be accurately acquired through the first preset label and the camera model.
In at least one embodiment of the present invention, the electronic device obtains a second preset tag, where the second preset tag is used to indicate a distance between an optical center and the optical center, and the electronic device obtains information corresponding to the second preset tag and the camera model at the same time as the lens difference.
The lens difference value can be accurately acquired through the second preset label and the camera model.
And S14, calculating the pixel depth value of each position point according to the parallax, the focal length value and the lens difference value.
In at least one embodiment of the present invention, the pixel depth value refers to a distance from the binocular camera to each location point in the text sheet. The pixel depth values include a target depth value and an abnormal depth value.
In at least one embodiment of the present invention, the electronic device calculating the pixel depth value of each position point according to the parallax, the focal length value and the lens difference value includes:
calculating the product of the focal length value and the lens difference value to obtain the size value of each position point;
and dividing the size value by the parallax to obtain the pixel depth value.
By the embodiment, the pixel depth value can be acquired quickly.
And S15, preprocessing the pixel depth value to obtain a target depth value, and extracting a depth reference value from the target depth value.
In at least one embodiment of the present invention, the target depth value refers to a target depth value from which the abnormal depth value is removed.
The depth reference value refers to a pixel depth value corresponding to a reference position of the text paper.
In at least one embodiment of the present invention, the electronic device preprocesses the pixel depth value, and obtaining the target depth value includes:
for any one of the pixel depth values, calculating the pixel number of the any one depth value in the pixel depth values, and calculating the total pixel amount of the pixel depth values;
calculating the quantity proportion of any depth value in the pixel depth values according to the pixel quantity and the pixel total quantity;
calculating a proportional mean value and a proportional dispersion degree of the quantity proportion, and calculating a product of the proportional dispersion degree and a preset multiple to obtain a second operation result;
taking the difference value of the proportional mean value and the operation result as a left interval, and taking the sum of the proportional mean value and the operation result as a right interval to construct a proportional interval;
determining any depth value of the quantity proportion not in the proportion interval as an abnormal depth value;
and removing the abnormal depth value from the pixel depth value to obtain the target depth value.
Wherein, the ratio mean means the average of the number ratio, and the ratio dispersion degree means the dispersion of the ratio mean. For example: the degree of proportional dispersion may be a range of the proportional mean, and the degree of proportional dispersion may also be a variance of the proportional mean.
By determining any depth value with the quantity proportion not in the proportion interval as an abnormal depth value, the abnormal depth value can be determined according to the proportion value of any depth value in the pixel depth values, the determination accuracy of the abnormal depth value is improved, and the target depth value can be accurately determined.
In at least one embodiment of the present invention, the electronic device extracts any one of the values from the target depth value as the depth reference value.
Through the embodiment, the depth reference value can be quickly acquired.
And S16, determining the detection result of the text paper according to the depth reference value and the pixel depth value.
It should be emphasized that, in order to further ensure the privacy and security of the detection result, the detection result may also be stored in a node of a block chain.
In at least one embodiment of the present invention, the detection result may be a wrinkle, and the detection result may be a flat.
In at least one embodiment of the present invention, the electronic device determining the detection result of the text paper according to the depth reference value and the pixel depth value includes:
calculating the difference value between the pixel depth value and the depth reference value to obtain a pixel wrinkle value of each position point;
determining a wrinkle interval where the pixel wrinkle value is located, and determining a weight value corresponding to the wrinkle interval as a target weight value;
performing weighted operation on the pixel wrinkle value based on the target weight value to obtain a total wrinkle value of the text paper;
comparing the total wrinkle value with a preset wrinkle threshold value;
when the total wrinkle value is greater than or equal to the preset wrinkle threshold value, determining the detection result as a wrinkle; or
And when the total wrinkle value is smaller than the preset wrinkle threshold value, determining the detection result as flat.
The pixel wrinkle value refers to wrinkle quantization information of each position point relative to a pixel reference corresponding to the depth reference value. The larger the pixel wrinkle value is, the more wrinkled the position point corresponding to the pixel wrinkle value is, and conversely, the smaller the pixel wrinkle value is, the flatter the position point corresponding to the pixel wrinkle value is. For example, a position point having a pixel wrinkle value of 10 is wrinkled than a position point having a pixel wrinkle value of 2.
The wrinkle interval corresponds to the target weight. The larger the wrinkle interval is, the larger the corresponding target weight value is.
The preset wrinkle threshold value is set according to requirements.
And determining a target weight value through the wrinkle interval where the pixel wrinkle value is located, wherein the target weight value is determined according to the pixel wrinkle value, so that the determination accuracy of the total wrinkle value can be improved, and the detection result can be accurately determined.
In at least one embodiment of the present invention, the electronic device determining the detection result of the text paper according to the depth reference value and the pixel depth value further includes:
acquiring a preset error value;
calculating a difference value between the depth reference value and the preset error value to obtain a first numerical value, and calculating the sum of the depth reference value and the preset error value to obtain a second numerical value;
taking the first numerical value as a left interval, and taking the second numerical value as a right interval to construct a reference interval;
calculating the number of wrinkles of the pixel depth value not in the reference interval;
calculating the wrinkle ratio of the number of wrinkles in the total amount of the pixels, and comparing the wrinkle ratio with a preset ratio threshold;
when the wrinkle ratio is larger than or equal to the preset ratio threshold, determining the detection result as a wrinkle; or
And when the wrinkle ratio is smaller than the preset ratio threshold value, determining the detection result as flat.
The preset error value and the preset occupation ratio threshold are set according to requirements, and the values of the preset error value and the preset occupation ratio threshold are not limited.
The reference interval determined by the preset error value can be used for determining the reference interval containing the error tolerance value according to requirements, and the detection accuracy of the detection result is improved.
In at least one embodiment of the present invention, after determining the detection result of the text sheet according to the depth reference value and the pixel depth value, the method further includes:
acquiring a request number of the wrinkle detection request;
generating prompt information according to the request number and the detection result;
encrypting the prompt information by adopting a symmetric encryption technology to obtain a ciphertext;
and sending the ciphertext to the terminal equipment of the appointed contact person.
Through the embodiment, the detection result can be timely sent to the terminal equipment, so that the timeliness of the detection result checked and received can be improved, and meanwhile, the safety of the detection result can also be improved.
According to the technical scheme, the parallax error and the pixel depth value can be accurately determined through the first position and the second position, the abnormal depth value can be eliminated through preprocessing the pixel depth value, and therefore the accuracy of the depth reference value is improved. Meanwhile, the invention does not need to train the model by using a large amount of data, thereby improving the determination efficiency of the detection result.
Fig. 3 is a functional block diagram of a preferred embodiment of the paper wrinkle detection device according to the present invention. The sheet wrinkle detection device 11 includes an acquisition unit 110, a determination unit 111, a calculation unit 112, an extraction unit 113, a generation unit 114, an encryption unit 115, and a transmission unit 116. The module/unit referred to herein is a series of computer readable instruction segments that can be accessed by the processor 13 and perform a fixed function and that are stored in the memory 12. In the present embodiment, the functions of the modules/units will be described in detail in the following embodiments.
When receiving a wrinkle detection request, the obtaining unit 110 determines a paper position and a binocular camera according to the wrinkle detection request, wherein text paper is stored in the paper position, and the binocular camera includes a first lens and a second lens.
In at least one embodiment of the invention, the wrinkle detection request may be triggered by a user purchasing the insurance product, and the wrinkle detection request may also be triggered by a selling user of the insurance product.
The information carried by the wrinkle detection request includes, but is not limited to: a location identification code, a camera model, etc.
The text paper refers to paper needing wrinkle detection.
The binocular camera is a camera including a left lens and a right lens.
In at least one embodiment of the present invention, the acquiring unit 110 determining the paper position and the binocular camera according to the wrinkle detection request includes:
analyzing the message of the wrinkle detection request to obtain data information carried by the message;
acquiring information indicating a position from the data information as a position identification code;
determining information corresponding to the position identification code as the paper position;
acquiring information indicating a camera from the data information as a camera model;
determining a camera corresponding to the camera model as the binocular camera.
Wherein, the data information includes, but is not limited to: a label indicating the location identification code, a label indicating the camera model, etc.
Through the embodiment, the data information can be quickly acquired, so that the paper position and the binocular camera can be quickly determined.
The acquiring unit 110 acquires a first position where each position point in the text paper is photographed by the first lens, and acquires a second position where each position point in the text paper is photographed by the second lens.
In at least one embodiment of the present invention, the position point refers to any one point on the text sheet. The text sheet is composed of a plurality of the position points.
The first position and the second position may be coordinate information determined based on a coordinate system constructed with an optical center of the first lens as an origin, or the first position and the second position may be coordinate information determined based on a coordinate system constructed with an optical center of the second lens as an origin.
The first position comprises a horizontal coordinate length and a vertical coordinate length, and the second position comprises a horizontal coordinate length and a vertical coordinate length.
In at least one embodiment of the present invention, when it is detected that the first lens completes photographing the text sheet, the acquisition unit 110 acquires the first position from the binocular camera using a sheet number of the text sheet.
Accordingly, the second position obtained by the obtaining unit 110 obtaining each position point in the text paper through shooting by the second lens is the same as the first position obtained by the obtaining unit 110 obtaining each position point in the text paper through shooting by the first lens, which is not described again in the present invention.
The determining unit 111 determines the parallax of each position point in the binocular camera according to the first position and the second position.
In at least one embodiment of the present invention, the parallax refers to a direction difference between any position point of the first lens shooting and any position point of the second lens shooting.
In at least one embodiment of the present invention, the determining unit 111 determines the parallax of each position point in the binocular camera according to the first position and the second position includes:
acquiring a horizontal resolution value of the binocular camera, and dividing the horizontal resolution value by a configuration value to obtain a target resolution value;
extracting a horizontal length from the first position as a first length;
calculating the sum of the target resolution value and the first length to obtain a first distance from each position point to a preset imaging surface;
extracting the horizontal length from the second position as a second length;
calculating the sum of the target resolution value and the second length to obtain a first operation result, and calculating the difference between the lens difference and the first operation result to obtain a second distance from each position point to the preset imaging surface;
and calculating the difference value of the first distance and the second distance to obtain the parallax.
Wherein the configuration value is typically set to 2.
The horizontal length refers to a horizontal coordinate length in the first position and a horizontal coordinate length in the second position.
The first distance can be accurately determined through the target resolution value and the first length, and the second distance can be accurately determined through the target resolution value, the second length and the lens difference value, so that the parallax can be accurately determined.
The obtaining unit 110 obtains a focal length value of the binocular camera, and obtains a lens difference value between the first lens and the second lens.
In at least one embodiment of the present invention, the focal length value refers to a distance from an optical center of the first lens to an imaging point or a distance from an optical center of the second lens to an imaging point in the binocular camera. Further, the distance from the optical center of the first lens to an imaging point in the binocular camera is equal to the distance from the optical center of the second lens to the imaging point in the binocular camera.
The lens difference is the distance from the optical center of the first lens to the optical center of the second lens.
In at least one embodiment of the present invention, the obtaining unit 110 obtains a first preset tag, where the first preset tag is used to indicate a focal length, and the obtaining unit 110 obtains information corresponding to the first preset tag and the camera model at the same time as the focal length value.
The focal length value can be accurately acquired through the first preset label and the camera model.
In at least one embodiment of the present invention, the obtaining unit 110 obtains a second preset tag, where the second preset tag is used to indicate a distance between an optical center and the optical center, and the obtaining unit 110 obtains information corresponding to the second preset tag and the camera model at the same time as the lens difference.
The lens difference value can be accurately acquired through the second preset label and the camera model.
The calculating unit 112 calculates a pixel depth value of each position point according to the parallax, the focal length value and the lens difference value.
In at least one embodiment of the present invention, the pixel depth value refers to a distance from the binocular camera to each location point in the text sheet. The pixel depth values include a target depth value and an abnormal depth value.
In at least one embodiment of the present invention, the calculating unit 112 calculates the pixel depth value of each position point according to the parallax, the focal length value and the lens difference value, including:
calculating the product of the focal length value and the lens difference value to obtain the size value of each position point;
and dividing the size value by the parallax to obtain the pixel depth value.
By the embodiment, the pixel depth value can be acquired quickly.
The extraction unit 113 preprocesses the pixel depth value to obtain a target depth value, and extracts a depth reference value from the target depth value.
In at least one embodiment of the present invention, the target depth value refers to a target depth value from which the abnormal depth value is removed.
The depth reference value refers to a pixel depth value corresponding to a reference position of the text paper.
In at least one embodiment of the present invention, the extracting unit 113 performs preprocessing on the pixel depth value to obtain a target depth value, where the preprocessing includes:
for any one of the pixel depth values, calculating the pixel number of the any one depth value in the pixel depth values, and calculating the total pixel amount of the pixel depth values;
calculating the quantity proportion of any depth value in the pixel depth values according to the pixel quantity and the pixel total quantity;
calculating a proportional mean value and a proportional dispersion degree of the quantity proportion, and calculating a product of the proportional dispersion degree and a preset multiple to obtain a second operation result;
taking the difference value of the proportional mean value and the operation result as a left interval, and taking the sum of the proportional mean value and the operation result as a right interval to construct a proportional interval;
determining any depth value of the quantity proportion not in the proportion interval as an abnormal depth value;
and removing the abnormal depth value from the pixel depth value to obtain the target depth value.
Wherein, the ratio mean means the average of the number ratio, and the ratio dispersion degree means the dispersion of the ratio mean. For example: the degree of proportional dispersion may be a range of the proportional mean, and the degree of proportional dispersion may also be a variance of the proportional mean.
By determining any depth value with the quantity proportion not in the proportion interval as an abnormal depth value, the abnormal depth value can be determined according to the proportion value of any depth value in the pixel depth values, the determination accuracy of the abnormal depth value is improved, and the target depth value can be accurately determined.
In at least one embodiment of the present invention, the extraction unit 113 extracts any one of the values from the target depth value as the depth reference value.
Through the embodiment, the depth reference value can be quickly acquired.
The determination unit 111 determines a detection result of the text sheet according to the depth reference value and the pixel depth value.
It should be emphasized that, in order to further ensure the privacy and security of the detection result, the detection result may also be stored in a node of a block chain.
In at least one embodiment of the present invention, the detection result may be a wrinkle, and the detection result may be a flat.
In at least one embodiment of the present invention, the determining unit 111 determines the detection result of the text sheet according to the depth reference value and the pixel depth value includes:
calculating the difference value between the pixel depth value and the depth reference value to obtain a pixel wrinkle value of each position point;
determining a wrinkle interval where the pixel wrinkle value is located, and determining a weight value corresponding to the wrinkle interval as a target weight value;
performing weighted operation on the pixel wrinkle value based on the target weight value to obtain a total wrinkle value of the text paper;
comparing the total wrinkle value with a preset wrinkle threshold value;
when the total wrinkle value is greater than or equal to the preset wrinkle threshold value, determining the detection result as a wrinkle; or
And when the total wrinkle value is smaller than the preset wrinkle threshold value, determining the detection result as flat.
The pixel wrinkle value refers to wrinkle quantization information of each position point relative to a pixel reference corresponding to the depth reference value. The larger the pixel wrinkle value is, the more wrinkled the position point corresponding to the pixel wrinkle value is, and conversely, the smaller the pixel wrinkle value is, the flatter the position point corresponding to the pixel wrinkle value is. For example, a position point having a pixel wrinkle value of 10 is wrinkled than a position point having a pixel wrinkle value of 2.
The wrinkle interval corresponds to the target weight. The larger the wrinkle interval is, the larger the corresponding target weight value is.
The preset wrinkle threshold value is set according to requirements.
And determining a target weight value through the wrinkle interval where the pixel wrinkle value is located, wherein the target weight value is determined according to the pixel wrinkle value, so that the determination accuracy of the total wrinkle value can be improved, and the detection result can be accurately determined.
In at least one embodiment of the present invention, the determining unit 111 further determines the detection result of the text sheet according to the depth reference value and the pixel depth value, including:
acquiring a preset error value;
calculating a difference value between the depth reference value and the preset error value to obtain a first numerical value, and calculating the sum of the depth reference value and the preset error value to obtain a second numerical value;
taking the first numerical value as a left interval, and taking the second numerical value as a right interval to construct a reference interval;
calculating the number of wrinkles of the pixel depth value not in the reference interval;
calculating the wrinkle ratio of the number of wrinkles in the total amount of the pixels, and comparing the wrinkle ratio with a preset ratio threshold;
when the wrinkle ratio is larger than or equal to the preset ratio threshold, determining the detection result as a wrinkle; or
And when the wrinkle ratio is smaller than the preset ratio threshold value, determining the detection result as flat.
The preset error value and the preset occupation ratio threshold are set according to requirements, and the values of the preset error value and the preset occupation ratio threshold are not limited.
The reference interval determined by the preset error value can be used for determining the reference interval containing the error tolerance value according to requirements, and the detection accuracy of the detection result is improved.
In at least one embodiment of the present invention, after determining the detection result of the text sheet according to the depth reference value and the pixel depth value, the obtaining unit 110 obtains a request number of the wrinkle detection request;
the generating unit 114 generates prompt information according to the request number and the detection result;
the encryption unit 115 encrypts the prompt message by using a symmetric encryption technology to obtain a ciphertext;
the sending unit 116 sends the ciphertext to the terminal device of the designated contact.
Through the embodiment, the detection result can be timely sent to the terminal equipment, so that the timeliness of the detection result checked and received can be improved, and meanwhile, the safety of the detection result can also be improved.
According to the technical scheme, the parallax error and the pixel depth value can be accurately determined through the first position and the second position, the abnormal depth value can be eliminated through preprocessing the pixel depth value, and therefore the accuracy of the depth reference value is improved. Meanwhile, the invention does not need to train the model by using a large amount of data, thereby improving the determination efficiency of the detection result.
Fig. 4 is a schematic structural diagram of an electronic device according to a preferred embodiment of the method for detecting a wrinkle in a sheet of paper according to the present invention.
In one embodiment of the present invention, the electronic device 1 includes, but is not limited to, a memory 12, a processor 13, and computer readable instructions, such as a paper wrinkle detection program, stored in the memory 12 and executable on the processor 13.
It will be appreciated by a person skilled in the art that the schematic diagram is only an example of the electronic device 1 and does not constitute a limitation of the electronic device 1, and that it may comprise more or less components than shown, or some components may be combined, or different components, e.g. the electronic device 1 may further comprise an input output device, a network access device, a bus, etc.
The Processor 13 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. The processor 13 is an operation core and a control center of the electronic device 1, and is connected to each part of the whole electronic device 1 by various interfaces and lines, and executes an operating system of the electronic device 1 and various installed application programs, program codes, and the like.
Illustratively, the computer readable instructions may be partitioned into one or more modules/units that are stored in the memory 12 and executed by the processor 13 to implement the present invention. The one or more modules/units may be a series of computer readable instruction segments capable of performing specific functions, which are used for describing the execution process of the computer readable instructions in the electronic device 1. For example, the computer-readable instructions may be divided into an acquisition unit 110, a determination unit 111, a calculation unit 112, an extraction unit 113, a generation unit 114, an encryption unit 115, and a transmission unit 116.
The memory 12 may be used for storing the computer readable instructions and/or modules, and the processor 13 implements various functions of the electronic device 1 by executing or executing the computer readable instructions and/or modules stored in the memory 12 and invoking data stored in the memory 12. The memory 12 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to use of the electronic device, and the like. The memory 12 may include non-volatile and volatile memories, such as: a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other storage device.
The memory 12 may be an external memory and/or an internal memory of the electronic device 1. Further, the memory 12 may be a memory having a physical form, such as a memory stick, a TF Card (Trans-flash Card), or the like.
The integrated modules/units of the electronic device 1 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the above embodiments may be implemented by hardware that is configured to be instructed by computer readable instructions, which may be stored in a computer readable storage medium, and when the computer readable instructions are executed by a processor, the steps of the method embodiments may be implemented.
Wherein the computer readable instructions comprise computer readable instruction code which may be in source code form, object code form, an executable file or some intermediate form, and the like. The computer-readable medium may include: any entity or device capable of carrying said computer readable instruction code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM).
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
With reference to fig. 1, the memory 12 in the electronic device 1 stores computer readable instructions to implement a paper wrinkle detection method, and the processor 13 can execute the computer readable instructions to implement:
when a wrinkle detection request is received, determining a paper position and a binocular camera according to the wrinkle detection request, wherein text paper is stored in the paper position, and the binocular camera comprises a first lens and a second lens;
acquiring a first position obtained by shooting each position point in the text paper by the first lens, and acquiring a second position obtained by shooting each position point in the text paper by the second lens;
determining the parallax of each position point in the binocular camera according to the first position and the second position;
acquiring a focal length value of the binocular camera, and acquiring a lens difference value of the first lens and the second lens;
calculating the pixel depth value of each position point according to the parallax, the focal length value and the lens difference value;
preprocessing the pixel depth value to obtain a target depth value, and extracting a depth reference value from the target depth value;
and determining the detection result of the text paper according to the depth reference value and the pixel depth value.
Specifically, the processor 13 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1 for a specific implementation method of the computer readable instructions, which is not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The computer readable storage medium has computer readable instructions stored thereon, wherein the computer readable instructions when executed by the processor 13 are configured to implement the steps of:
when a wrinkle detection request is received, determining a paper position and a binocular camera according to the wrinkle detection request, wherein text paper is stored in the paper position, and the binocular camera comprises a first lens and a second lens;
acquiring a first position obtained by shooting each position point in the text paper by the first lens, and acquiring a second position obtained by shooting each position point in the text paper by the second lens;
determining the parallax of each position point in the binocular camera according to the first position and the second position;
acquiring a focal length value of the binocular camera, and acquiring a lens difference value of the first lens and the second lens;
calculating the pixel depth value of each position point according to the parallax, the focal length value and the lens difference value;
preprocessing the pixel depth value to obtain a target depth value, and extracting a depth reference value from the target depth value;
and determining the detection result of the text paper according to the depth reference value and the pixel depth value.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. The plurality of units or devices may also be implemented by one unit or device through software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A paper wrinkle detection method, characterized by comprising:
when a wrinkle detection request is received, determining a paper position and a binocular camera according to the wrinkle detection request, wherein text paper is stored in the paper position, and the binocular camera comprises a first lens and a second lens;
acquiring a first position obtained by shooting each position point in the text paper by the first lens, and acquiring a second position obtained by shooting each position point in the text paper by the second lens;
determining the parallax of each position point in the binocular camera according to the first position and the second position;
acquiring a focal length value of the binocular camera, and acquiring a lens difference value of the first lens and the second lens;
calculating the pixel depth value of each position point according to the parallax, the focal length value and the lens difference value;
preprocessing the pixel depth value to obtain a target depth value, and extracting a depth reference value from the target depth value;
and determining the detection result of the text paper according to the depth reference value and the pixel depth value.
2. The paper wrinkle detection method as claimed in claim 1, wherein said determining a paper position and a binocular camera according to the wrinkle detection request comprises:
analyzing the message of the wrinkle detection request to obtain data information carried by the message;
acquiring information indicating a position from the data information as a position identification code;
determining information corresponding to the position identification code as the paper position;
acquiring information indicating a camera from the data information as a camera model;
determining a camera corresponding to the camera model as the binocular camera.
3. The paper wrinkle detection method as claimed in claim 1, wherein said determining the parallax of each position point in said binocular camera according to said first position and said second position comprises:
acquiring a horizontal resolution value of the binocular camera, and dividing the horizontal resolution value by a configuration value to obtain a target resolution value;
extracting a horizontal length from the first position as a first length;
calculating the sum of the target resolution value and the first length to obtain a first distance from each position point to a preset imaging surface;
extracting the horizontal length from the second position as a second length;
calculating the sum of the target resolution value and the second length to obtain a first operation result, and calculating the difference between the lens difference and the first operation result to obtain a second distance from each position point to the preset imaging surface;
and calculating the difference value of the first distance and the second distance to obtain the parallax.
4. The paper wrinkle detection method as claimed in claim 1, wherein said calculating a pixel depth value for each position point according to said parallax, said focal length value and said lens difference value comprises:
calculating the product of the focal length value and the lens difference value to obtain the size value of each position point;
and dividing the size value by the parallax to obtain the pixel depth value.
5. The paper wrinkle detection method as claimed in claim 1, wherein said preprocessing the pixel depth values to obtain target depth values comprises:
for any one of the pixel depth values, calculating the pixel number of the any one depth value in the pixel depth values, and calculating the total pixel amount of the pixel depth values;
calculating the quantity proportion of any depth value in the pixel depth values according to the pixel quantity and the pixel total quantity;
calculating a proportional mean value and a proportional dispersion degree of the quantity proportion, and calculating a product of the proportional dispersion degree and a preset multiple to obtain a second operation result;
taking the difference value of the proportional mean value and the second operation result as a left interval, and taking the sum of the proportional mean value and the second operation result as a right interval construction proportional interval;
determining any depth value of the quantity proportion not in the proportion interval as an abnormal depth value;
and removing the abnormal depth value from the pixel depth value to obtain the target depth value.
6. The method of detecting wrinkles in paper as claimed in claim 1, wherein said determining the detection result of the text paper based on the depth reference value and the pixel depth value comprises:
calculating the difference value between the pixel depth value and the depth reference value to obtain a pixel wrinkle value of each position point;
determining a wrinkle interval where the pixel wrinkle value is located, and determining a weight value corresponding to the wrinkle interval as a target weight value;
performing weighted operation on the pixel wrinkle value based on the target weight value to obtain a total wrinkle value of the text paper;
comparing the total wrinkle value with a preset wrinkle threshold value;
when the total wrinkle value is greater than or equal to the preset wrinkle threshold value, determining the detection result as a wrinkle; or
And when the total wrinkle value is smaller than the preset wrinkle threshold value, determining the detection result as flat.
7. The method of detecting a wrinkle in a sheet of paper as set forth in claim 1, wherein the determining the detection result of the text sheet based on the depth reference value and the pixel depth value further includes:
acquiring a preset error value;
calculating a difference value between the depth reference value and the preset error value to obtain a first numerical value, and calculating the sum of the depth reference value and the preset error value to obtain a second numerical value;
taking the first numerical value as a left interval, and taking the second numerical value as a right interval to construct a reference interval;
calculating the number of wrinkles of the pixel depth value not in the reference interval;
calculating the wrinkle ratio of the number of wrinkles in the total amount of the pixels, and comparing the wrinkle ratio with a preset ratio threshold;
when the wrinkle ratio is larger than or equal to the preset ratio threshold, determining the detection result as a wrinkle; or
And when the wrinkle ratio is smaller than the preset ratio threshold value, determining the detection result as flat.
8. A sheet wrinkle detection device, characterized by comprising:
the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for determining a paper position and a binocular camera according to a wrinkle detection request when the wrinkle detection request is received, text paper is stored in the paper position, and the binocular camera comprises a first lens and a second lens;
the acquiring unit is further configured to acquire a first position obtained by shooting each position point in the text paper by the first lens, and acquire a second position obtained by shooting each position point in the text paper by the second lens;
the determining unit is used for determining the parallax of each position point in the binocular camera according to the first position and the second position;
the acquisition unit is further used for acquiring a focal length value of the binocular camera and acquiring a lens difference value of the first lens and the second lens;
the calculation unit is used for calculating the pixel depth value of each position point according to the parallax, the focal length value and the lens difference value;
the extraction unit is used for preprocessing the pixel depth value to obtain a target depth value and extracting a depth reference value from the target depth value;
the determining unit is further configured to determine a detection result of the text sheet according to the depth reference value and the pixel depth value.
9. An electronic device, characterized in that the electronic device comprises:
a memory storing computer readable instructions; and
a processor executing computer readable instructions stored in the memory to implement the paper wrinkle detection method according to any one of claims 1 to 7.
10. A computer-readable storage medium characterized by: the computer-readable storage medium has computer-readable instructions stored therein, which are executed by a processor in an electronic device to implement the paper wrinkle detection method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110704359.7A CN113284137B (en) | 2021-06-24 | 2021-06-24 | Paper fold detection method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110704359.7A CN113284137B (en) | 2021-06-24 | 2021-06-24 | Paper fold detection method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113284137A true CN113284137A (en) | 2021-08-20 |
| CN113284137B CN113284137B (en) | 2023-07-18 |
Family
ID=77285433
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110704359.7A Active CN113284137B (en) | 2021-06-24 | 2021-06-24 | Paper fold detection method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113284137B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116660269A (en) * | 2023-05-24 | 2023-08-29 | 昆山祺力达电子材料有限公司 | PE film fold detection system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005214734A (en) * | 2004-01-28 | 2005-08-11 | Fuji Xerox Co Ltd | Device for inspecting paper wrinkle, and control device |
| JP2009146034A (en) * | 2007-12-12 | 2009-07-02 | National Institute Of Information & Communication Technology | Multi-view image depth value extraction device, its method and its program |
| US20100135680A1 (en) * | 2008-12-03 | 2010-06-03 | Fuji Xerox Co., Ltd. | Paper wrinkle sign monitoring device, paper wrinkle sign monitoring method, and computer readable medium |
| CN106981081A (en) * | 2017-03-06 | 2017-07-25 | 电子科技大学 | A kind of degree of plainness for wall surface detection method based on extraction of depth information |
| CN109559306A (en) * | 2018-11-27 | 2019-04-02 | 广州供电局有限公司 | Crosslinked polyetylene insulated layer surface planarization detection method based on edge detection |
| CN110706182A (en) * | 2019-10-10 | 2020-01-17 | 普联技术有限公司 | Method and device for detecting flatness of shielding case, terminal equipment and storage medium |
| CN111340869A (en) * | 2020-03-27 | 2020-06-26 | 上海东普信息科技有限公司 | Express package surface flatness identification method, device, equipment and storage medium |
| CN111932537A (en) * | 2020-10-09 | 2020-11-13 | 腾讯科技（深圳）有限公司 | Object deformation detection method and device, computer equipment and storage medium |
| CN111986203A (en) * | 2020-07-09 | 2020-11-24 | 河南科技大学 | Depth image segmentation method and device |
-
2021
- 2021-06-24 CN CN202110704359.7A patent/CN113284137B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005214734A (en) * | 2004-01-28 | 2005-08-11 | Fuji Xerox Co Ltd | Device for inspecting paper wrinkle, and control device |
| JP2009146034A (en) * | 2007-12-12 | 2009-07-02 | National Institute Of Information & Communication Technology | Multi-view image depth value extraction device, its method and its program |
| US20100135680A1 (en) * | 2008-12-03 | 2010-06-03 | Fuji Xerox Co., Ltd. | Paper wrinkle sign monitoring device, paper wrinkle sign monitoring method, and computer readable medium |
| CN106981081A (en) * | 2017-03-06 | 2017-07-25 | 电子科技大学 | A kind of degree of plainness for wall surface detection method based on extraction of depth information |
| CN109559306A (en) * | 2018-11-27 | 2019-04-02 | 广州供电局有限公司 | Crosslinked polyetylene insulated layer surface planarization detection method based on edge detection |
| CN110706182A (en) * | 2019-10-10 | 2020-01-17 | 普联技术有限公司 | Method and device for detecting flatness of shielding case, terminal equipment and storage medium |
| CN111340869A (en) * | 2020-03-27 | 2020-06-26 | 上海东普信息科技有限公司 | Express package surface flatness identification method, device, equipment and storage medium |
| CN111986203A (en) * | 2020-07-09 | 2020-11-24 | 河南科技大学 | Depth image segmentation method and device |
| CN111932537A (en) * | 2020-10-09 | 2020-11-13 | 腾讯科技（深圳）有限公司 | Object deformation detection method and device, computer equipment and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 陈伟伟 等: "服装褶皱效果的评价", 纺织学报 * |
| 陈雁 等: "图像处理技术在服装褶皱评价中的应用", 纺织学报 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116660269A (en) * | 2023-05-24 | 2023-08-29 | 昆山祺力达电子材料有限公司 | PE film fold detection system |
| CN116660269B (en) * | 2023-05-24 | 2023-12-26 | 昆山祺力达电子材料有限公司 | PE film fold detection system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113284137B (en) | 2023-07-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6452186B2 (en) | Insurance compensation fraud prevention method, system, apparatus and readable recording medium based on coincidence of multiple photos | |
| CN112668453B (en) | Video identification method and related equipment | |
| CN110738219A (en) | Method and device for extracting lines in image, storage medium and electronic device | |
| CN115409638B (en) | Artificial intelligence-based livestock insurance underwriting and claim settlement method and related equipment | |
| CN111860377A (en) | Live broadcast method and device based on artificial intelligence, electronic equipment and storage medium | |
| CN115170869A (en) | Repeated vehicle damage claim identification method, device, equipment and storage medium | |
| CN115063632A (en) | Vehicle damage identification method, device, equipment and medium based on artificial intelligence | |
| CN113132633A (en) | Image processing method, device, equipment and computer readable storage medium | |
| CN112232203A (en) | Pedestrian recognition method and device, electronic equipment and storage medium | |
| CN113284137B (en) | Paper fold detection method, device, equipment and storage medium | |
| CN111860498A (en) | Method and device for generating antagonism sample of license plate and storage medium | |
| CN112102205B (en) | Image deblurring method and device, electronic equipment and storage medium | |
| CN114360732B (en) | Medical data analysis method, device, electronic equipment and storage medium | |
| CN113240031B (en) | Panoramic image feature point matching model training method and device and server | |
| CN113283389A (en) | Handwritten character quality detection method, device, equipment and storage medium | |
| CN113283421B (en) | Information identification method, device, equipment and storage medium | |
| CN112819305A (en) | Service index analysis method, device, equipment and storage medium | |
| CN114726541B (en) | Electronic license reading method, device, equipment and storage medium | |
| CN117171235B (en) | Data analysis method based on industrial identification and related equipment | |
| CN113179380B (en) | Signature recording method, device, equipment and storage medium | |
| CN113723149A (en) | Living body detection method, living body detection device, electronic apparatus, and computer-readable storage medium | |
| CN114926179A (en) | Transaction risk detection method, device, equipment and storage medium | |
| CN116311552A (en) | Human face living body detection method, device, equipment and medium based on artificial intelligence | |
| CN114842205A (en) | Vehicle damage detection method, device, equipment and storage medium | |
| CN114925354A (en) | Password resetting detection method based on shared screen and related equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |