CN115494556B - Packet association method based on paragraph fuzzy matching - Google Patents

Packet association method based on paragraph fuzzy matching Download PDF

Info

Publication number
CN115494556B
CN115494556B CN202210991529.9A CN202210991529A CN115494556B CN 115494556 B CN115494556 B CN 115494556B CN 202210991529 A CN202210991529 A CN 202210991529A CN 115494556 B CN115494556 B CN 115494556B
Authority
CN
China
Prior art keywords
package
image data
time
picture
fuzzy matching
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.)
Active
Application number
CN202210991529.9A
Other languages
Chinese (zh)
Other versions
CN115494556A (en
Inventor
姜旭
连天友
拜正斌
张利
邓军
严军
邓秋雄
黄锐
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Zhiyuanhui Information Technology Co Ltd
Original Assignee
Chengdu Zhiyuanhui Information Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Chengdu Zhiyuanhui Information Technology Co Ltd filed Critical Chengdu Zhiyuanhui Information Technology Co Ltd
Priority to CN202210991529.9A priority Critical patent/CN115494556B/en
Publication of CN115494556A publication Critical patent/CN115494556A/en
Application granted granted Critical
Publication of CN115494556B publication Critical patent/CN115494556B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V5/00Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity
    • G01V5/20Detecting prohibited goods, e.g. weapons, explosives, hazardous substances, contraband or smuggled objects
    • G01V5/22Active interrogation, i.e. by irradiating objects or goods using external radiation sources, e.g. using gamma rays or cosmic rays
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/76Television signal recording

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Chemical & Material Sciences (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Signal Processing (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • High Energy & Nuclear Physics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geophysics (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)

Abstract

The invention discloses a packet association method based on paragraph fuzzy matching, which comprises the following steps: s1: continuously acquiring a current camera picture, extracting package image data, and caching the package image data to obtain a package image data queue M; s2: acquiring a package X-ray image which is completely imaged in a security inspection machine, extracting imaging time of the package X-ray image, and recording the imaging time as a time point t2; s3: calculating a time point t1 when the package enters the security inspection machine according to the time point t2; s4: calculating a time point t0 of a package starting movement point according to the time point t1 and the displacement of the package running on the conveyor belt, and obtaining a time period (t 0, t 1); s5: intercepting package image data of M in the time period (t 0, t 1) for fuzzy matching with the package X-ray picture; s6: and according to the fuzzy matching result, obtaining the package image data with the best adaptation degree as final package association image information, and carrying out package association binding on the package X-ray pictures.

Description

Packet association method based on paragraph fuzzy matching
Technical Field
The invention relates to the technical field of picture data processing, in particular to a packet association method based on paragraph method fuzzy matching.
Background
In the prior art, when a subway, an airport or other security inspection scenes are used for package security inspection, after a passenger puts a package into a conveyor belt and enters a security inspection machine, contraband identification is carried out on the package, when the contraband is identified in the package, the corresponding package is required to be determined immediately, so that the package X-ray image in the security inspection machine and the RGB image of the package are required to be associated, as the RGB image of the package is required to be cached, fuzzy matching is carried out on the RGB image of the cached package and the package X-ray image, how to accurately acquire cached package data for fuzzy matching and reduce the traversing time during fuzzy matching become the problem to be solved, and therefore, the invention provides a package association method based on paragraph fuzzy matching.
Disclosure of Invention
The invention provides a packet association method based on paragraph fuzzy matching, which utilizes the complete imaging time of a packet X-ray picture to calculate a specific time period, uses the packet image data of a buffer queue in the specific time period and the packet X-ray picture to carry out fuzzy matching, carries out packet association with the packet X-ray picture according to the matched packet image data, and achieves the purpose of immediately determining a corresponding packet when contraband is identified in the packet X-ray picture.
The technical aim of the invention is realized by the following technical scheme:
the utility model provides a packet association method based on paragraph method fuzzy matching, is applied to the security inspection machine system, is provided with X ray imaging area in the security inspection machine, installs the camera above the conveyer belt in the security inspection machine entry, the camera make a video recording the direction with the conveyer belt is perpendicular and the camera make a video recording the scope of camera cover the conveyer belt completely, the method includes following steps:
s1: continuously acquiring a current camera picture, extracting package image data, and caching the package image data to obtain a package image data queue M;
s2: acquiring a package X-ray image which is completely imaged in a security inspection machine, extracting imaging time of the package X-ray image, and recording the imaging time as a time point t2;
s3: calculating a time point t1 when the package enters the security inspection machine according to the time point t2;
s4: calculating a time point t0 of a package starting movement point according to the time point t1 and the displacement of the package running on the conveyor belt, and obtaining a time period (t 0, t 1);
s5: intercepting package image data of M in the time period (t 0, t 1) for fuzzy matching with the package X-ray picture;
s6: and according to the fuzzy matching result, obtaining the package image data with the best adaptation degree as final package association image information, and carrying out package association binding on the final package association image information and the package X-ray picture.
Further, when a time point t1 of the package entering the security inspection machine is calculated according to the time point t2, t1=t2-S/v, wherein S is the distance from the starting point of the X-ray imaging area to the package inlet of the security inspection machine, and v is the running speed of the conveyor belt;
further, when the time point t0 of the package starting movement point is calculated according to the time point t1 and the displacement of the package running on the conveyor belt, t0=t1-L/v is carried into t1=t2-S/v, and t0=t2- (l+s)/v is obtained, wherein L is the displacement experienced when the package completely enters the security inspection machine from the conveyor belt before the entrance of the security inspection machine.
Further, when executing S1, the method includes the following steps:
s11: acquiring RGB values of current camera picture composition pixels;
s12: and calculating package image data according to the RGB values, wherein the package image data comprises, but is not limited to, package external outlines, package visible light pictures, leftmost and rightmost coordinates of the package in the current camera picture and the length of the package in the current camera picture.
Further, the method also comprises the following steps:
s1a: acquiring package image data B at an initial moment;
s1b: and tracking the package from the camera picture and updating the package image data to obtain package image data B' for fuzzy matching.
Further, setting the initial time as T0, the package image data B at the initial time includes:
B={id,img0,x L0 ,x R0 ,L B t0, wherein ID is the package ID, img0 is the package visible light picture extracted from the camera picture at time T0, x L0 To wrap the leftmost coordinates in the camera picture at time T0, x R0 To wrap the rightmost coordinates in the camera picture at time T0, L B L is the length wrapped in the camera picture at the time of T0 B =x R0 -x L0
Tracking the package from the camera picture, and obtaining package image data B ', B' = { id, img1, x at the time T1 L1 ,x R1 ,L B1 T1, wherein ID is package ID, img1 is package visible light picture extracted from camera picture at time T1, x L1 To wrap the leftmost coordinates in the camera picture at time T1, x R1 To wrap the rightmost coordinates in the camera picture at time T1, L B1 L is the length wrapped in the camera picture at the time of T1 B1 =x R1 -x L1
When L B1 >L B And when the package image data is updated, the package image data for fuzzy matching is package image data B' and is cached in a package image data queue.
The invention also provides an electronic device for packet association based on paragraph fuzzy matching, which comprises:
one or more processors;
a storage unit configured to store one or more programs, which when executed by the one or more processors, enable the one or more processors to implement a packet association method based on paragraph method fuzzy matching according to any one of claims 1 to 6.
The invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, enables a method of packet association based on paragraph method fuzzy matching according to any of claims 1 to 6.
The invention has the beneficial effects that: the invention calculates a specific time period by using the complete imaging time of the package X-ray picture, and uses the package image data of the buffer queue in the specific time period and the package X-ray picture for fuzzy matching, and uses the matched package image data and the package X-ray picture for package association, thereby achieving the purpose of immediately determining the corresponding package when contraband is identified in the package X-ray picture.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention;
FIG. 2 is a schematic diagram of a current camera picture taken;
FIG. 3 is a schematic illustration of the package after the imaging of the X-ray image is completed;
FIG. 4 is a schematic illustration of a package just entering a security check machine;
FIG. 5 is a schematic view of the package as it moves from point A;
FIG. 6 is a schematic diagram of a current camera picture taken at time T0;
FIG. 7 is a current camera picture taken at time T0;
FIG. 8 is a schematic diagram of a current camera picture taken at time T1;
fig. 9 is a current camera picture taken at time T1.
Detailed Description
In order to make the technical scheme, the technical problems to be solved and the technical effects of the invention more clear, the technical scheme of the invention is checked and fully described below with reference to the specific embodiments, and obviously, the described embodiments are only some embodiments of the invention, but not all embodiments. All embodiments obtained by a person skilled in the art without making any inventive effort are within the scope of the present invention based on the embodiments of the present invention.
The invention is described in detail below with reference to the drawings and attached specific embodiments,
example 1
As shown in fig. 1 to 5, an X-ray imaging area is provided in the security inspection machine, a camera is mounted above the conveyor belt, the imaging direction of the camera is perpendicular to the conveyor belt, and the imaging range of the camera just covers the conveyor belt. Therefore, the package on the conveyor belt can be shot, the shooting direction of the camera is vertical to the package, and the visible light picture of the package in the obtained camera picture is a top view of the package.
In this embodiment, the operation mode of the conveyor belt is from a to D, A, D is two ends of the conveyor belt, the operation speed of the conveyor belt is v, B is a packet inlet of the security inspection machine, the length of AB is L, C is a packet outlet of the security inspection machine, and the conveyor belt of BC section is inside the security inspection machine. The point X indicates that when the package is in this position, scanning is started to image an X-ray picture. BX has a length S. A camera is arranged above the package-in conveyor belt AB, and can fully take in the AB conveyor.
Firstly, continuously acquiring a current camera picture, extracting package image data, and caching the package image data to obtain a package image data queue M; the extracted wrapped image data is denoted as B, M is a queue of cached wrapped image data, m= { B0, B1, B2 … Bi … … Bn }. When extracting the package image data, the RGB value of the current camera picture forming pixel can be firstly obtained, and then the package image data is obtained through calculation according to the RGB value, wherein the package image data comprises, but is not limited to, package external contours, package visible light pictures, leftmost and rightmost coordinates packaged in the current camera picture and length packaged in the current camera picture.
Secondly, acquiring a package X-ray image completely imaged in a security inspection machine, extracting imaging time of the package X-ray image, recording as a time point t2,
specifically, as shown in fig. 3, when the package passes the point X, the imaging of the X-ray image of the package is completed, i.e. a completely imaged X-ray image of the package is obtained, which is herein denoted as time point t2
Then, a time point t1 when the package enters the security inspection machine is calculated according to the time point t2, a time point t0 of a package starting movement point is calculated according to the time point t1 and the displacement of the package running on the conveyor belt, a time period (t 0, t 1) is obtained,
specifically, as shown in fig. 4, when the package just enters the package entrance B, the time is denoted as t1, t1=t2-S/v, as shown in fig. 5, where the longest running time of the package at the front section of the package entrance is the time from the point a to the point B, which is the buffering time of the package image data queue M, and assuming that the package starts to move from the point a, the time when the package starts to move is t0=t1-L/v=t2- (l+s)/v.
Finally, intercepting package image data of M in the time period (t 0, t 1) for fuzzy matching with the package X-ray picture;
specifically, the obtained X-ray picture is recorded as XB, wherein max_conf is used as the maximum matching degree, max_conf is initialized to 0, BB is the package image data with the best matching degree, the associated image information of the final package is obtained,
bi is removed from M, repeated matching is avoided, and package association binding is carried out on the package visible light picture in Bi and the X-ray picture XB.
Example two
The main difference between the technical solution in this embodiment and the first embodiment is that, when extracting the package image information, in order to obtain accurate package image data, as shown in fig. 6 and 7, due to the influence of the actual size of the package, when the package just enters the conveyor belt, the obtained camera image does not completely capture the package, so that the package visible light image extracted from the camera image does not include all the package, or the obtained camera image has no package directly below the camera, so that the obtained package image information has some errors, and in order to avoid this situation, the technical idea of tracking the package in the camera image is adopted, as shown in fig. 6 to 9, the technical solution is as follows: where L0' is the length of the camera picture,
s1a: acquiring package image information B at an initial moment;
specifically, as shown in fig. 6 and 7, the initial time is set to T0, and the package image information B at the initial time includes: b= { id, img0, x L0 ,x R0 ,L B T0, wherein ID is the package ID, img0 is the package visible light picture extracted from the camera picture at time T0, x L0 To wrap the leftmost coordinates in the camera picture at time T0, x R0 To wrap the rightmost coordinates in the camera picture at time T0, L B L is the length wrapped in the camera picture at the time of T0 B =x R0 -x L0
S1b: and tracking the package from the camera picture and updating the package image information to obtain the package image information B' for fuzzy matching.
Specifically, as shown in fig. 8 and 9, the package is tracked in real time from the camera image, and package image information B ', B' = { id, img1, x is obtained at time T1 L1 ,x R1 ,L B1 T1, wherein ID is package ID, img1 is package visible light picture extracted from camera picture at time T1, x L1 To wrap the leftmost coordinates in the camera picture at time T1, x R1 To wrap the rightmost coordinates in the camera picture at time T1, L B L is the length wrapped in the camera picture at the time of T0 B1 =x R1 -x L1
When L B1 >L B And updating the package image information, wherein the package image information for fuzzy matching is package image information B'.
And repeating the steps, acquiring package image information at the moments T2 and T3 … … TN, and caching package image information B' obtained at the moment T1 into a queue M for subsequent fuzzy matching when the length of the package at the subsequent moment in the camera picture is found to be unchanged.
The invention also provides an electronic device for packet association based on paragraph fuzzy matching, which comprises:
one or more processors;
a storage unit configured to store one or more programs, which when executed by the one or more processors, enable the one or more processors to implement a packet association method based on paragraph method fuzzy matching according to any one of claims 1 to 6.
The invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, enables a method of packet association based on paragraph method fuzzy matching according to any of claims 1 to 6.
The computer-readable storage medium described above may be implemented in any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus, and computer program products according to embodiments of the invention. It will be understood that each flowchart and/or block of the flowchart and/or block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors, input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing describes the principles and embodiments of the present invention in detail using specific examples, which are only for aiding in understanding the core technical content of the present invention, and are not intended to limit the scope of the present invention, but the technical solutions of the present invention are not limited to the foregoing specific embodiments. Based on the above-mentioned embodiments of the present invention, any improvements and modifications made by those skilled in the art without departing from the principles of the present invention should fall within the scope of the present invention.

Claims (3)

1. The utility model provides a packet association method based on paragraph method fuzzy matching, is applied to the security inspection machine system, is provided with X ray imaging area in the security inspection machine, installs the camera above the conveyer belt in the security inspection machine entry, the camera make a video recording the direction with the conveyer belt is perpendicular and the camera make a video recording the scope of camera cover the conveyer belt completely, its characterized in that, the method includes following steps:
s1: continuously acquiring a current camera picture, extracting package image data, and caching the package image data to obtain a package image data queue M;
s2: acquiring a package X-ray image which is completely imaged in a security inspection machine, extracting imaging time of the package X-ray image, and recording the imaging time as a time point t2;
s3: calculating a time point t1 when the package enters the security inspection machine according to the time point t2;
s4: calculating a time point t0 of a package starting movement point according to the time point t1 and the displacement of the package running on the conveyor belt, and obtaining a time period (t 0, t 1);
s5: intercepting package image data of M in the time period (t 0, t 1) for fuzzy matching with the package X-ray picture;
s6: according to the fuzzy matching result, obtaining package image data with the best adaptation degree as final package association image information, and carrying out package association binding on the final package association image information and the package X-ray picture;
when a time point t1 when the package enters the security inspection machine is calculated according to the time point t2, t1=t2-S/v, wherein S is the distance from the starting point of the X-ray imaging area to the package inlet of the security inspection machine, and v is the running speed of the conveyor belt;
when a time point t0 of a package starting movement point is calculated according to a time point t1 and the displacement of the package running on a conveyor belt, t0=t1-L/v is carried into t1=t2-S/v to obtain t0=t2- (L+S)/v, wherein L is the displacement experienced when the package completely enters the security inspection machine from the conveyor belt before the entrance of the security inspection machine; when executing S1, the method comprises the following steps: s11: acquiring RGB values of current camera picture composition pixels; s12: calculating package image data according to the RGB values, wherein the package image data comprises, but is not limited to, package external outlines, package visible light pictures, leftmost and rightmost coordinates of a package in a current camera picture and the length of the package in the current camera picture; the method also comprises the following steps: s1a: acquiring package image data B at an initial moment;
s1b: tracking packages from the camera picture and updating package image data to obtain package image data B' for fuzzy matching; setting an initial time as T0, wherein the package image data B at the initial time comprises:
B={id,img0,x L0 ,x R0 ,L B t0, wherein ID is the package ID, img0 is the package visible light picture extracted from the camera picture at time T0, x L0 Leftmost sitting in the camera picture for wrapping at time T0Mark, x R0 To wrap the rightmost coordinates in the camera picture at time T0, L B L is the length wrapped in the camera picture at the time of T0 B =x R0 -x L0
Tracking the package from the camera picture, and obtaining package image data B ', B' = { id, img1, x at the time T1 L1 ,x R1 ,L B1 T1, wherein ID is package ID, img1 is package visible light picture extracted from camera picture at time T1, x L1 To wrap the leftmost coordinates in the camera picture at time T1, x R1 To wrap the rightmost coordinates in the camera picture at time T1, L B1 L is the length wrapped in the camera picture at the time of T1 B1 =x R1- x L1
When L B1 >L B And when the package image data is updated, the package image data for fuzzy matching is package image data B' and is cached in a package image data queue.
2. An electronic device for packet association based on paragraph fuzzy matching, comprising:
one or more processors;
a storage unit configured to store one or more programs, which when executed by the one or more processors, enable the one or more processors to implement a paragraph-based fuzzy matching packet association method according to claim 1.
3. A computer-readable storage medium having a computer program stored thereon, characterized in that,
the computer program, when executed by a processor, is capable of implementing a packet association method based on paragraph fuzzy matching according to claim 1.
CN202210991529.9A 2022-08-18 2022-08-18 Packet association method based on paragraph fuzzy matching Active CN115494556B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210991529.9A CN115494556B (en) 2022-08-18 2022-08-18 Packet association method based on paragraph fuzzy matching

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210991529.9A CN115494556B (en) 2022-08-18 2022-08-18 Packet association method based on paragraph fuzzy matching

Publications (2)

Publication Number Publication Date
CN115494556A CN115494556A (en) 2022-12-20
CN115494556B true CN115494556B (en) 2023-09-12

Family

ID=84466158

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210991529.9A Active CN115494556B (en) 2022-08-18 2022-08-18 Packet association method based on paragraph fuzzy matching

Country Status (1)

Country Link
CN (1) CN115494556B (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112967289A (en) * 2021-02-08 2021-06-15 上海西井信息科技有限公司 Security check package matching method, system, equipment and storage medium
CN113435543A (en) * 2021-07-22 2021-09-24 北京博睿视科技有限责任公司 Visible light and X-ray image matching method and device based on conveyor belt identification
WO2021190595A1 (en) * 2020-03-25 2021-09-30 杭州海康机器人技术有限公司 Parcel detection method, device, computing apparatus, logistics system, and storage medium
CN113570543A (en) * 2021-05-27 2021-10-29 浙江大华技术股份有限公司 Security check package identification method, system, storage medium and equipment
CN113759431A (en) * 2021-06-09 2021-12-07 同方威视技术股份有限公司 Security check data association method and device and X-ray security check system
CN114140461A (en) * 2021-12-09 2022-03-04 成都智元汇信息技术股份有限公司 Picture cutting method based on edge picture recognition box, electronic equipment and medium
CN114372991A (en) * 2021-06-01 2022-04-19 实源科技(广州)有限公司 Method and device for collecting and matching X-ray images of articles in security inspection process
CN114624263A (en) * 2022-03-23 2022-06-14 成都智元汇信息技术股份有限公司 Double-source double-view-angle target identification-based graph cutting method and system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021190595A1 (en) * 2020-03-25 2021-09-30 杭州海康机器人技术有限公司 Parcel detection method, device, computing apparatus, logistics system, and storage medium
CN112967289A (en) * 2021-02-08 2021-06-15 上海西井信息科技有限公司 Security check package matching method, system, equipment and storage medium
CN113570543A (en) * 2021-05-27 2021-10-29 浙江大华技术股份有限公司 Security check package identification method, system, storage medium and equipment
CN114372991A (en) * 2021-06-01 2022-04-19 实源科技(广州)有限公司 Method and device for collecting and matching X-ray images of articles in security inspection process
CN113759431A (en) * 2021-06-09 2021-12-07 同方威视技术股份有限公司 Security check data association method and device and X-ray security check system
CN113435543A (en) * 2021-07-22 2021-09-24 北京博睿视科技有限责任公司 Visible light and X-ray image matching method and device based on conveyor belt identification
CN114140461A (en) * 2021-12-09 2022-03-04 成都智元汇信息技术股份有限公司 Picture cutting method based on edge picture recognition box, electronic equipment and medium
CN114624263A (en) * 2022-03-23 2022-06-14 成都智元汇信息技术股份有限公司 Double-source double-view-angle target identification-based graph cutting method and system

Also Published As

Publication number Publication date
CN115494556A (en) 2022-12-20

Similar Documents

Publication Publication Date Title
CN109740670B (en) Video classification method and device
CN110428366A (en) Image processing method and device, electronic equipment, computer readable storage medium
CN111182217B (en) Image white balance processing method and device
EP3565235B1 (en) Imaging control method and apparatus, imaging device, and computer-readable storage medium
CN110334635A (en) Main body method for tracing, device, electronic equipment and computer readable storage medium
CN107635098B (en) High dynamic range images noise remove method, device and equipment
CN110248096A (en) Focusing method and device, electronic equipment, computer readable storage medium
CN103973999A (en) Imaging apparatus and control method therefor
EP2709062B1 (en) Image processing device, image processing method, and computer readable medium
CN110536057A (en) Image processing method and device, electronic equipment, computer readable storage medium
CN109194877A (en) Image compensation method and device, computer readable storage medium and electronic equipment
US11363202B2 (en) Methods and systems for video stabilization
CN111028222B (en) Video detection method and device, computer storage medium and related equipment
CN110213494A (en) Image pickup method and device, electronic equipment, computer readable storage medium
CN102082914A (en) Image processing apparatus and image processing method
CN112771843A (en) Information processing method, device and imaging system
KR20210116953A (en) Method and apparatus for tracking target
CN110049237A (en) Camera anti-fluttering method, device, electronic equipment and computer storage medium
CN110490196A (en) Subject detection method and apparatus, electronic equipment, computer readable storage medium
CN109951641A (en) Image capturing method and device, electronic equipment, computer readable storage medium
CN115494556B (en) Packet association method based on paragraph fuzzy matching
CN110399823B (en) Subject tracking method and apparatus, electronic device, and computer-readable storage medium
US10198842B2 (en) Method of generating a synthetic image
CN110392211A (en) Image processing method and device, electronic equipment, computer readable storage medium
CN110378934A (en) Subject detection method, apparatus, electronic equipment and computer readable storage medium

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