一种机器视觉的药品分拣系统

一种机器视觉的药品分拣系统设计摘要本文的主要目的是概述机器视觉药物分选系统的特点，该系统使用机器视觉技术提供自动、精确和有效的药物分选。该系统利用图像采集设备捕获药物图像，利用图像处理算法对图像进行预处理和信息提取，并利用模式识别技术实现药物检测和定位。分拣机器人由系统控制，根据识别结果完成药物分拣。详细阐述了系统的整个运动过程，包括硬件的选择，软件平台的开发，以及图像处理算法的选择。为了提高照片的清晰度和项目特征提取的精度，将平滑、增强、灰度等预处理技术应用于药物照片。为了实现准确的药物图像分割，我们采用Canny边缘检测算法和whale算法对二维最大熵图像分割方法进行了升级。我们的研究重点是药物图像分割算法。当相机、机器人和PLC集成到一个系统中时，相机拍摄的数据经过算法处理后发送给PLC和机器人。该系统通过利用PLC数据进行药物分类和机器人角度校正，提高了药物分拣速度和准确性，提高了分拣效率，减少了人工劳动的需要，具有广泛的应用前景。本文建议的基于机器视觉的药物分选系统设计为药物分选行业的自动化和机敏发展提供了强有力的技术支持和有益的指导。关键词：机器视觉；药品分拣系统；Canny边缘检测算法

The

design

of

a

machine

vision

drug

sorting

systemAbstractThe

main

purpose

of

this

article

is

to

summarize

the

characteristics

of

the

machine

vision

drug

sorting

system,

which

uses

machine

vision

technology

to

provide

automatic,

accurate

and

efficient

drug

sorting.

This

system

utilizes

image

acquisition

equipment

to

capture

drug

images,

uses

image

processing

algorithms

to

perform

pre

-

processing

and

information

extraction

on

the

images,

and

uses

pattern

recognition

technology

to

realize

drug

detection

and

localization.

The

sorting

robot

is

controlled

by

the

system

to

complete

drug

sorting

according

to

the

recognition

result.

The

entire

motion

process

of

the

system

is

elaborated

in

detail,

including

the

selection

of

hardware,

the

development

of

the

software

platform,

and

the

selection

of

image

processing

algorithms.

In

order

to

improve

the

clarity

of

the

photos

and

the

accuracy

of

the

project

feature

extraction,

smoothing,

enhancement,

gray

scale

and

other

pre

-

processing

techniques

are

applied

to

the

drug

photos.

In

order

to

achieve

accurate

drug

image

segmentation,

we

have

upgraded

the

two

-

dimensional

maximum

entropy

image

segmentation

method

by

using

the

Canny

edge

detection

algorithm

and

the

whale

algorithm.

Our

research

focus

is

on

the

drug

image

segmentation

algorithm.

When

the

camera,

robot

and

PLC

are

integrated

into

a

system,

the

data

captured

by

the

camera

is

sent

to

the

PLC

and

the

robot

after

being

processed

by

the

algorithm.

The

system

improves

the

speed

and

accuracy

of

drug

sorting,

improves

the

sorting

efficiency,

and

reduces

the

need

for

manual

labor

by

using

PLC

data

for

drug

classification

and

robot

angle

correction,

and

has

broad

application

prospects.

The

proposed

machine

-

vision

-

based

drug

sorting

system

design

in

this

article

provides

strong

technical

support

and

useful

guidance

for

the

automation

and

smart

development

of

the

drug

sorting

industry.KeyWords：machinevision;Drugsortingsystem;Cannyedgedetectionalgorithm

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