基于改进YOLOv8n的轻量化织物疵点检测算法.docxVIP

基于改进YOLOv8n的轻量化织物疵点检测算法

目录

1.内容概述................................................2

1.1研究背景与意义.......................................3

1.2国内外研究现状.......................................4

1.3论文架构与创新点.....................................5

2.织物疵点检测的重要性....................................6

2.1织物疵点产生原因.....................................7

2.2疵点检测的现实意义...................................8

2.3疵点检测技术的应用...................................9

3.YOLOv8n算法概述........................................11

4.改进YOLOv8n算法的轻量化策略............................12

4.1轻量化网络结构设计..................................13

4.2数据增强技术........................................14

4.3损失函数优化........................................15

4.4训练策略优化........................................16

5.算法性能评估指标.......................................17

5.1准确率..............................................19

5.2召回率..............................................19

6.实验设计与数据集介绍...................................20

6.1实验环境与硬件配置..................................21

6.2数据集收集与预处理..................................22

6.3实验流程与参数设置..................................23

7.改进后的轻量化织物疵点检测算法.........................24

7.1网络结构改进........................................25

7.2训练与验证过程......................................27

7.3算法实现细节........................................27

8.实验结果与分析.........................................28

8.1实验数据展示........................................30

8.2算法性能对比........................................31

8.3实验分析与讨论......................................32

9.应用案例分析...........................................33

9.1真实生产线上的应用..................................34

9.2改进算法的工业反馈..................................35

10.结论与展望............................................36

10.1研究成果总结.......................................37

10.2算法存在的不足.....................................38

10.3未来研究方向.......................................39

1.内容概述

本文档旨在探讨和介绍一项改进后的YOLOv8n架构在轻量化织物