CN107451592A - A kind of ethical goods checking method and device - Google Patents
A kind of ethical goods checking method and device Download PDFInfo
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- CN107451592A CN107451592A CN201710525837.1A CN201710525837A CN107451592A CN 107451592 A CN107451592 A CN 107451592A CN 201710525837 A CN201710525837 A CN 201710525837A CN 107451592 A CN107451592 A CN 107451592A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation 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
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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Abstract
The invention discloses a kind of ethical goods checking method, comprise the following steps：Obtain the image information on transmitting device；Feature extraction is carried out to obtain corresponding characteristic vector to the medicine image got；The characteristic vector of medicine image is compared to obtain nomenclature of drug corresponding with medicine image with the characteristic vector of the various medicines of ATL memory storage；By carrying out Text region to identification medicine label so that medicine label must be compared；Judge whether the nomenclature of drug nomenclature of drug corresponding with medicine image in comparison medicine label is consistent, if it is, being verified, if it is not, then carrying out early warning.The invention also discloses a kind of ethical goods checking device.The ethical goods checking method and device of the present invention solves the problems, such as that existing artificial medicine of providing checks easily error, prescription list and patient identity are corresponded to during medicine is picked using image recognition technology and automatic checking is carried out to medicine, to solve the problems, such as artificial nucleus to easily error.
Description
Technical field
The present invention relates to a kind of image identification technical field, more particularly to a kind of ethical goods checking method and device.
Background technology
At present, during modern medical service, pharmacists needs when the prescription information issued according to doctor pick medicine granting
Multiple cross-check information is wanted, avoids the occurrence of careless mistake.And often because a variety of causes, manual operation fully relies on the artificial of medical personnel
Observation confirms the correctness performed, and is difficult to avoid that and occurs that mistake causes administration to slip up and cause medical tangle, makes the later stage sick
People take or drug for injection after there are various illnesss, ultimately result in various dispute serious situations and occur.Based on above mentioned problem,
Urgent need is a kind of in present industry corresponds to the method that patient identity is checked applied to medicine granting.
The content of the invention
For overcome the deficiencies in the prior art, an object of the present invention is to provide a kind of ethical goods checking method,
It can solve the problems, such as manually to make up the prescription error-prone.
The second object of the present invention is to provide a kind of electronic equipment, and it can solve the problems, such as manually to make up the prescription error-prone.
The third object of the present invention is to provide a kind of computer-readable storage medium, and it can solve error-prone ask of manually making up the prescription
Topic.
The fourth object of the present invention is to provide a kind of ethical goods checking device, and it can solve manually to make up the prescription error-prone
Problem.
An object of the present invention adopts the following technical scheme that realization：
A kind of ethical goods checking method, comprises the following steps：
Information acquiring step：The image information on transmitting device is obtained, described image information includes medicine image and identification
Medicine label；
Characteristic extraction step：Feature extraction is carried out to obtain corresponding characteristic vector to the medicine image got；
Aspect ratio is to step：The characteristic vector of medicine image is compared with the characteristic vector in ATL with and medicine
Nomenclature of drug corresponding to product image；
Tag recognition step：By carrying out Text region to identification medicine label so that medicine label must be compared；
Title judgment step：Judge compare medicine label in nomenclature of drug nomenclature of drug corresponding with medicine image whether
Unanimously, if it is, being verified, if it is not, then carrying out early warning.
Further, pre-treatment step is also included after information acquiring step：Image information is pre-processed.
Further, the pre-treatment step specifically includes following sub-step：
Image segmentation step：Algorithm is connected by seed medicine segmentation is carried out to medicine image to obtain single medicine figure
Picture；
Normalization step：Single medicine image is normalized by barycenter alignment and linear interpolation amplification.
Further, the characteristic extraction step specifically includes following sub-step：
Region division step：Image segmentation is carried out to medicine image, is divided into the grid spaces of predetermined number；
Density calculation procedure：Calculate the areal concentration in each grid, the points in the areal concentration=each grid with
The ratio between total points of medicine image.
Further, when the Quantity of drugs in the medicine image is multiple；By the spy of multiple medicines in medicine image
Sign vector is compared with the characteristic vector of various medicines of storage in ATL, compares successfully once to count and once corresponds to medicine
The name of an article claims and its quantity.
The second object of the present invention adopts the following technical scheme that realization：
A kind of electronic equipment, including memory, processor and storage can be run on a memory and on a processor
Computer program, following steps are realized during the computing device described program：
Information acquiring step：The image information on transmitting device is obtained, described image information includes medicine image and identification
Medicine label；
Characteristic extraction step：Feature extraction is carried out to obtain corresponding characteristic vector to the medicine image got；
Aspect ratio is to step：The characteristic vector of medicine image is compared with the characteristic vector in ATL with and medicine
Nomenclature of drug corresponding to product image；
Tag recognition step：By carrying out Text region to identification medicine label so that medicine label must be compared；
Title judgment step：Judge compare medicine label in nomenclature of drug nomenclature of drug corresponding with medicine image whether
Unanimously, if it is, being verified, if it is not, then carrying out early warning.
Further, pre-treatment step is also included after information acquiring step：Image information is pre-processed.
Further, the pre-treatment step specifically includes following sub-step：
Image segmentation step：Algorithm is connected by seed medicine image progress medicine is split to obtain medicine information；
Normalization step：Medicine information is normalized by barycenter alignment and linear interpolation amplification.
The third object of the present invention adopts the following technical scheme that realization：
A kind of computer-readable recording medium, is stored thereon with computer program, and the computer program is held by processor
The method as described in above-mentioned any one is realized during row.
The fourth object of the present invention adopts the following technical scheme that realization：
A kind of ethical goods checking device, including with lower module：
Data obtaining module：For obtaining the image information on transmitting device, described image information include medicine image and
Identify medicine label；
Characteristic extracting module：For carrying out feature extraction to the medicine image got to obtain corresponding characteristic vector；
Feature comparing module：For the characteristic vector of medicine image is compared with the characteristic vector in ATL with
Nomenclature of drug corresponding with medicine image；
Tag recognition module：For by carrying out Text region to identification medicine label so that medicine label must be compared；
Title judge module：For judging to compare the nomenclature of drug nomenclature of drug corresponding with medicine image in medicine label
It is whether consistent, if it is, being verified, if it is not, then carrying out early warning.
Compared with prior art, the beneficial effects of the present invention are：
The ethical goods checking method and device of the present invention solve it is existing it is artificial provide that medicine verification easily malfunctions ask
Topic, correspond to prescription list and patient identity during medicine is picked using image recognition technology and automatic checking is carried out to medicine, to solve
The problem of artificial nucleus are to easily error.
Brief description of the drawings
Fig. 1 is the flow chart of the prescription medicine checking method of the present invention；
Fig. 2 is the structured flowchart of the prescription medicine checking device of the present invention.
Embodiment
Below, with reference to accompanying drawing and embodiment, the present invention is described further, it is necessary to which explanation is, not
Under the premise of afoul, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
Embodiment one：
The present invention includes：1st, acquisition module, 2, information storage module, 3, medicine identification, 4, judge prompting module, 5, medicine
Transmission belt.
Functions are as follows：1st, acquisition module：To be arranged in the camera above transmission belt, for obtaining transmission belt
The medicine image to be checked of each patient；
2nd, information storage module：The unique essential information of each patient is stored, the information storage module is used for patient's
Essential information is added, changes and deleted, and essential information includes identity information and ethical goods information；
3rd, medicine identifies：Including nomenclature of drug identification, Quantity of drugs identification, medicine label identification.
4th, prompting module is judged：Obtain medicine identification module recognition result data, including nomenclature of drug, Quantity of drugs,
Medicine label content, the prescription of patient is corresponded in the prescription list numbering gathering information memory module in medicine label content
It is single, compare the nomenclature of drug in prescription list and quantity and patient's name, judge whether medicine granting is correct, and discovery is wrong, enters
Row prompting.
5th, drug delivery band：After medical worker picks medicine according to prescription list, the medicine picked is placed on drug delivery band,
Drug delivery to medicine is provided by window by transmission belt.In transmitting procedure, before medicine reaches dispensing window, at system control
Fang Dan and recognition result judge whether being transported to for medicine be correct.
As shown in figure 1, the invention provides a kind of ethical goods checking method, comprise the following steps：
S1：The image information on transmitting device is obtained, described image information includes medicine image and identification medicine label；Should
Transmitting device is conveyer belt, or can be other transmitting devices in addition to conveyer belt can also, step S1 it
Also include step S11 afterwards：Image information is pre-processed；The step S11 specifically includes following sub-step：
S111：Algorithm is connected by seed medicine segmentation is carried out to medicine image to obtain single medicine image；Carry out medicine
When product are split, the problem of medicine is inter-adhesive is sometimes there is likely to be, therefore also needs to carry out adhesion to medicine image
Judge, then needed if there is adhesion by looking for the method for valley point to split medicine image in vertical projection diagram, with
To single medicine image, so as to avoid the occurrence of multiple medicine adhesions and then recognition result is impacted.
S112：Single medicine image is normalized by barycenter alignment and linear interpolation amplification.
S2：Feature extraction is carried out to obtain corresponding characteristic vector to the medicine image got；The step S2 is specific
Including following sub-step：
S21：Image segmentation is carried out to medicine image, is divided into the grid spaces of predetermined number；
S22：The areal concentration in each grid is calculated, the points and medicine image in the areal concentration=each grid are total
The ratio between points；Feature extraction is carried out to medicine image.Because the pattern of the outer packing of every kind of medicine, trade mark, nomenclature of drug design
Pattern, the shape of packing box differ, the present invention is according to different medicines, the corresponding face using target item space density
The arrangement assemblage characteristic such as color, textured pattern, shape.Medicine image is divided into 5*5 25 grid spaces, calculates each grid
In total the ratio between the points of points and article, to obtain 25 dimensional feature vectors.
S3：The characteristic vector of medicine image is compared to obtain with the characteristic vector of the various medicines of ATL memory storage
Nomenclature of drug corresponding with medicine image；When Quantity of drugs in the medicine image is multiple；Will be multiple in medicine image
The characteristic vector of medicine is compared with the characteristic vector of the various medicines of storage in ATL, compares and successfully once counts one
Secondary corresponding nomenclature of drug and its quantity.
ATL needs established early stage oneself, the identification model establish process mainly include it is following
Step：Firstth, the outer packing to all storage medicines is taken pictures respectively, obtains the image of all angles；In this, as the base of identification
Plinth；Secondth, image is pre-processed, extracts characteristic vector, according to different medicines, corresponded to using target item space density
The arrangement assemblage characteristic such as color, textured pattern, shape.Medicine image is divided into 5*5 25 grid spaces, calculates each side
The ratio between total points of points and medicine in lattice, to obtain 25 dimensional feature vectors；3rd, by the feature of each Key works Drug packing image to
Quantity set corresponds to nomenclature of drug storage, obtains each medicine identification model.
Bulk drug：When medicine is provided, prescription can include the situation of bulk drug, and we also need to be directed to medicine in bulk
Product are identified.Identification process needs to first pass through to take pictures to each angle of bulk drug to obtain the image of each bulk drug, to each figure
As being pre-processed, characteristic vector is extracted, corresponding nomenclature of drug establishes bulk drug identification model.During identification, it is in bulk to treat core
The image of medicine is pre-processed, feature extraction, the set of eigenvectors of each bulk drug in matching identification model, judges to wait to check
The title of bulk drug.
Because the pill of the inner packing of every kind of medicine, medicament have the abbreviation notation of nomenclature of drug, different pills, medicament
Shape, color, abbreviation notation, pattern characteristics have difference, it is corresponding to use target item space according to different pills, medicament
The arrangement assemblage characteristic such as the texture of density, shape.Bulk drug image is divided into 5*5 25 grid spaces, calculates each side
The ratio between total points of points and medicine in lattice, obtain 25 dimensional feature vectors, so as to obtain the set of eigenvectors of bulk drug.Whole bag
The Quantity of drugs identification of dress：According to nomenclature of drug recognition result, the quantity of the whole packaging of every kind of medicine is counted.
Bulk drug quantity identifies：Because the arrangement combination such as the textured pattern of the space density of each pill, medicament, shape
It features defines and describe the pill, the characteristic vector of medicament, we calculate the characteristic vector of each pill, medicament, with system
In the medicine that prestores, the characteristic vector of pill compare, similarity highest and reach more than 90% and be then calculated as a pill
Or one bottle of medicament.Thus, statistics obtains the quantity of the bulk drug included in image.It is whole by being included in medicine image to be checked
The Quantity of drugs of packaging adds up to collect with bulk drug quantity, obtains medicine total quantity.
S4：By carrying out Text region to identification medicine label so that medicine label must be compared；Its recognition methods used for
Template matching method；Medicine label identifies：When medicine is provided, while every kind of medicine can be furnished with patient's name, prescription number, medicine name
Claim, the medicine label of usage and dosage, in identification, the word on medicine label is entered by template matching method character recognition technology
Row identification, obtain the patient's name of the medicine granting, prescription list is numbered, nomenclature of drug information.
S5：Judge whether the nomenclature of drug nomenclature of drug corresponding with medicine image in comparison medicine label is consistent, if
It is then to be verified, if it is not, then carrying out early warning.The alarm mode can either be adopted using the alarm mode of sound
With the alarm mode of bright light, the mode that can mainly play the prompting to people can.
The concrete operating principle of the present embodiment：
Netscape messaging server Netscape establishes medicine identification model first, and outer packing of the system to all storage medicines is by taking pictures
After multiple images for obtaining various placed angles, pre-processed, feature extraction and recognition training, corresponding each nomenclature of drug are established
Medicine identification model.Meanwhile after the pill for being included in every kind of medicine, medicament obtain the picture of all angles, it is same to carry out
Pretreatment, feature extraction, establish bulk drug identification model corresponding to each medicine.
When medicine is provided in pharmacy, health care worker singly carries out picking medicine according to the patient prescription of information storage module, will pick
Good medicine is placed on conveyer belt, and is corresponded to provide in systems and confirmed operation.One group be arranged on above conveyer belt
Camera, for obtaining medicine image to be checked on conveyer belt, it is sent to identification module.
Identification module is pre-processed to medicine image, medicine image is split, feature extraction, is pre-established in Compare System
Medicine identification model and bulk drug identification model, judge nomenclature of drug, count Quantity of drugs.Lead to for medicine label region
Cross character recognition technology identification label substance information, including patient's name, prescription odd numbers, nomenclature of drug.
Judge that prompting module obtains the recognition result information of identification module, patient prescription corresponding to comparison information memory module
Monokaryon to patient's name, judge the correctness of medicine and Quantity of drugs granting, find wrong, carry out error prompting.Pass through judgement
Medicine be sent in transmission belt medicine provide window, be issued to patient.
Embodiment two
Embodiment two discloses a kind of electronic equipment, and the electronic equipment includes processor, memory and program, wherein locating
One or more can be used by managing device and memory, and program is stored in memory, and is configured to by computing device,
During the computing device program, the ethical goods checking method of embodiment one is realized.The electronic equipment can be mobile phone, computer,
The a series of electronic equipment of tablet personal computer etc..
Embodiment three
Embodiment three discloses a kind of readable computer-readable storage medium, and the storage medium is used for storage program, and should
When program is executed by processor, the ethical goods checking method of embodiment one is realized.
Example IV
As shown in Fig. 2 the invention discloses a kind of ethical goods checking device, including with lower module：
Data obtaining module：For obtaining the image information on transmitting device, described image information include medicine image and
Identify medicine label；
Characteristic extracting module：For carrying out feature extraction to the medicine image got to obtain corresponding characteristic vector；
Feature comparing module：For by the feature of the characteristic vector of medicine image and the various medicines of ATL memory storage to
Amount is compared to obtain nomenclature of drug corresponding with medicine image；
Tag recognition module：For by carrying out Text region to identification medicine label so that medicine label must be compared；
Title judge module：For judging to compare the nomenclature of drug nomenclature of drug corresponding with medicine image in medicine label
It is whether consistent, if it is, being verified, if it is not, then carrying out early warning.
Above-mentioned embodiment is only the preferred embodiment of the present invention, it is impossible to the scope of protection of the invention is limited with this,
The change and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed scope.
Claims (10)
1. a kind of ethical goods checking method, it is characterised in that comprise the following steps：
Information acquiring step：The image information on transmitting device is obtained, described image information includes medicine image and identification medicine
Label；
Characteristic extraction step：Feature extraction is carried out to obtain corresponding characteristic vector to the medicine image got；
Aspect ratio is to step：The characteristic vector of medicine image and the characteristic vector of the various medicines of ATL memory storage are compared
To with nomenclature of drug corresponding with medicine image；
Tag recognition step：By carrying out Text region to identification medicine label so that medicine label must be compared；
Title judgment step：Judge compare medicine label in nomenclature of drug nomenclature of drug corresponding with medicine image whether one
Cause, if it is, being verified, if it is not, then carrying out early warning.
2. ethical goods checking method as claimed in claim 1, it is characterised in that also include after information acquiring step pre-
Processing step：Image information is pre-processed.
3. ethical goods checking method as claimed in claim 2, it is characterised in that the pre-treatment step specifically includes following
Sub-step：
Image segmentation step：Algorithm is connected by seed medicine segmentation is carried out to medicine image to obtain single medicine image；
Normalization step：Single medicine image is normalized by barycenter alignment and linear interpolation amplification.
4. prescription medicine checking method as claimed in claim 1, it is characterised in that the Quantity of drugs in the medicine image is more
When individual；The characteristic vector of the various medicines stored in the characteristic vector of multiple medicines in medicine image and ATL is compared
It is right, compare successfully once i.e. statistics once correspond to nomenclature of drug and its quantity.
5. ethical goods checking method as claimed in claim 1, it is characterised in that the characteristic extraction step specifically include with
Lower sub-step：
Region division step：Image segmentation is carried out to medicine image, is divided into the grid spaces of predetermined number；
Density calculation procedure：The areal concentration in each grid is calculated, points and medicine in the areal concentration=each grid
The ratio between total points of image.
6. a kind of electronic equipment, including memory, processor and storage are on a memory and the meter that can run on a processor
Calculation machine program, it is characterised in that realize following steps during the computing device described program：
Information acquiring step：The image information on transmitting device is obtained, described image information includes medicine image and identification medicine
Label；
Characteristic extraction step：Feature extraction is carried out to obtain corresponding characteristic vector to the medicine image got；
Aspect ratio is to step：The characteristic vector of medicine image and the characteristic vector of the various medicines of ATL memory storage are compared
To with nomenclature of drug corresponding with medicine image；
Tag recognition step：By carrying out Text region to identification medicine label so that medicine label must be compared；
Title judgment step：Judge compare medicine label in nomenclature of drug nomenclature of drug corresponding with medicine image whether one
Cause, if it is, being verified, if it is not, then carrying out early warning.
7. electronic equipment as claimed in claim 6, it is characterised in that also include pretreatment step after information acquiring step
Suddenly：Image information is pre-processed.
8. electronic equipment as claimed in claim 7, it is characterised in that the pre-treatment step specifically includes following sub-step：
Image segmentation step：Algorithm is connected by seed medicine segmentation is carried out to medicine image to obtain single medicine image；
Normalization step：Single medicine image is normalized by barycenter alignment and linear interpolation amplification.
9. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that：The computer program quilt
The method as described in claim 1-5 any one is realized during computing device.
10. a kind of ethical goods checking device, it is characterised in that including with lower module：
Data obtaining module：For obtaining the image information on transmitting device, described image information includes medicine image and identification
Medicine label；
Characteristic extracting module：For carrying out feature extraction to the medicine image got to obtain corresponding characteristic vector；
Feature comparing module：For the characteristic vector of medicine image and the characteristic vector of the various medicines of ATL memory storage to be entered
Row is compared to obtain nomenclature of drug corresponding with medicine image；
Tag recognition module：For by carrying out Text region to identification medicine label so that medicine label must be compared；
Title judge module：For whether judging to compare the nomenclature of drug nomenclature of drug corresponding with medicine image in medicine label
Unanimously, if it is, being verified, if it is not, then carrying out early warning.
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| CN108198600A (en) * | 2018-04-04 | 2018-06-22 | 东莞东华医院有限公司 | Drug and patient drug's prescription check system, hospital pharmacy dispensing system and method |
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| CN108875845A (en) * | 2018-07-26 | 2018-11-23 | 广东数相智能科技有限公司 | A kind of classifying drugs device |
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