供应链质量追溯的烟草叶片图像帧特征动态识别方法
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引用本文:李进,岳华峰,程生博,彭一帆,黄备备.供应链质量追溯的烟草叶片图像帧特征动态识别方法[J].计算技术与自动化,2024,(1):111-116
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李进,岳华峰,程生博,彭一帆,黄备备 (湖北中烟广水卷烟厂湖北 随州 432721) 
中文摘要:目前叶片特征识别方法多依据叶片颜色识别叶片形状、脉络等特征,导致识别的图像特征存在清晰度低的问题,提出了生产线质量追溯的烟草叶片图像帧特征动态识别方法。采用无线网络硬盘录像机设置叶片图像采集流程,采集生产线质量追溯时的烟草叶片图像,并且引入直方图均衡化、灰度化、降噪预处理技术,预处理叶片图像;引入四叉树分裂算法分割烟草叶片图像,从叶片的纹理着手,通过分形维数、缝隙量、能量、熵、对比度、对比度和相关性特征提取技术,提取叶片图像帧纹理复杂程度、疏密程度、灰度、信息量、清晰度和线性相关度特征;根据图像帧特征提取结果,使用DS合成算法动态识别烟草叶片图像帧特征。结果分析:此次研究方法应用后,提取的雪茄烟叶片脉络特征清晰度分别提升8.2、2.68;白肋烟叶片脉络特征清晰度分别提升7.56、1.5。
中文关键词:生产线质量追溯  烟草叶片  图像  帧特征  特征动态性  动态识别
 
Dynamic Identification Method of Tobacco Leaf Image Frame Feature Based on Supply Chain Quality Traceability
Abstract:At present, leaf feature recognition methods mostly recognize leaf shape, vein and other features according to leaf color, resulting in the problem of low definition of the recognized image features. A dynamic recognition method of tobacco leaf image frame features with production line quality traceability is proposed. The wireless network hard disk video recorder is used to set up the leaf image acquisition process, collect the tobacco leaf image during the quality traceability of the production line, and introduce the histogram equalization, grayscale and noise reduction preprocessing technology to preprocess the leaf image. The quadtree splitting algorithm is introduced to segment the tobacco leaf image. Starting from the leaf texture, through the extraction technology of fractal dimension, gap amount, energy, entropy, contrast, contrast and correlation features, the characteristics of leaf image frame texture complexity, density, gray level, amount of information, clarity and linear correlation are extracted. According to the results of image frame feature extraction, DS synthesis algorithm is used to dynamically recognize the frame features of tobacco leaf image. Result shows that after the application of this research method, the vein feature clarity of cigar tobacco leaves was improved by 8.2 and 2.68 respectively. The clarity of vein characteristics of burley tobacco leaves increased by 7.56 and 1.5 respectively.
keywords:production line quality traceability  tobacco leaves  image  frame features  fcature dynamism  feature dynamics
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