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一种基于图像处理的茶叶病害识别检测方法

InventionUnknown
8Claims · 1 independent
§ Ⅰ

Dossier Overview

Inventor

钟美琳; 刘珏; 谷丽燕; 骆源娅

Filing Date

Aug 14, 2026

Publication Date

Oct 27, 2026

IPC Classification

G06V 10/80 (2022.01)G06V 10/44 (2022.01)G06V 10/54 (2022.01)G06V 10/26 (2022.01)G06V 10/72 (2022.01)G06N 3/045 (2023.01)G06V 10/82 (2022.01)G06V 10/764 (2022.01)G06V 10/52 (2022.01)G06V 10/34 (2022.01)G06V 10/20 (2022.01)G06N 3/0464 (2023.01)G06N 5/01 (2023.01)G06N 20/20 (2019.01)G06N 20/10 (2019.01)G06V 10/774 (2022.01)G06V 10/776 (2022.01)G06V 10/75 (2022.01)G06V 10/766 (2022.01)G06V 20/10 (2022.01)G06V 10/56 (2022.01)

本发明公开了一种基于图像处理的茶叶病害识别检测方法,涉及茶叶病害识别检测技术领域,包括如下步骤:采集茶叶叶片图像并预处理,生成茶叶叶片增强图像集;提取亮度通道、绿色优势通道和饱和度通道,生成叶片光照参考图和阴影补偿图;基于阴影补偿图校正图像并生成茶叶叶片候选分割图;经轮廓修正和干扰剔除生成茶叶有效叶片区域图像;计算病斑颜色偏移值、纹理粗糙值、局部边缘突变值和区域扩散形态值,融合生成疑似病斑响应图;基于疑似病斑响应图进行联合约束分割,生成茶叶病斑候选区域图像;将病害图像特征输入病斑MaxViT模型,生成茶叶病害识别检测结果。本发明具有病斑定位准确和识别稳定性高的优点。

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