基于机器视觉的普洱茶饼外观质量检测融合算法

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关键词：自动化产线；普洱茶饼；机器视觉；图像处理；缺陷检测；可编程控制器中图分类号：S571.1；TP391.4；TP18 文献标识码：A DOI：10.7525/j.issn.1006-8023.2025.03.015

Abstract：With the popularization of automated production lines，thepresing process of tea cakeshas become particularlyimportantfor product quality.However，thequalitycontrolofPu'er mini tea cakes producedbyautomated productionlines oftenfalsshortofthose madebyhand.Therefore，the detectionof the appearance qualityof teacakes after production byautomated lines has become an urgent isse to beaddressd.To this end，this study proposes an automated quality detection algorithm for Pu'er tea cakesbased onmachine vision.Thealgorithmcomprehensively applies various image processing techniques，including Otsu threshold segmentation and Cannyedge detection，and introduces multiplealgorithmoptimization strategies to improve detectionaccuracyand eficiency.The algorithmcanautomatically completethedetectionand evaluationoftheappearance qualityof tea cakes and transmittheresults inreal-time toaProgrammable Logic Controler（PLC）．Experimentalresults show thatthe algorithm can accurately identify appearancedefects of tea cakes，with an average computational accuracy of 95. 7 5 % ，demonstrating high robustness and reliability. It is suitable forqualitycontrol in automated production lines and hasa widerange of application prospects，especially in the intelligent transformation of the tea production industry，where it has significant reference value.

Keywords：Automated production line； Pu'er tea cake;machine vision;image processing;defect detection； PLC

0 引言

代信息技术和智能农机装备在智慧农业领域的应用越来越广泛[1]。（剩余13735字）