基于機器視覺的普洱茶餅外觀質量檢測融合算法

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關鍵詞：自動化產(chǎn)線；普洱茶餅；機器視覺；圖像處理；缺陷檢測；可編程控制器中圖分類號：S571.1；TP391.4；TP18 文獻標識碼：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

代信息技術和智能農(nóng)機裝備在智慧農(nóng)業(yè)領域的應用越來越廣泛[1]。（剩余13735字）