针对瓷砖色差检测中传统方法依赖主观目测导致的结果不稳定问题,提出一种融合纹理与颜色特征的瓷砖色差量化与分级方法。构建包含纹理与颜色双标签的大规模瓷砖数据集TILE-TCR(TILE Texture and Color Recognition),以提升模型对纹理与...针对瓷砖色差检测中传统方法依赖主观目测导致的结果不稳定问题,提出一种融合纹理与颜色特征的瓷砖色差量化与分级方法。构建包含纹理与颜色双标签的大规模瓷砖数据集TILE-TCR(TILE Texture and Color Recognition),以提升模型对纹理与颜色特征的表征能力;同时,构建色差分级数据集TILE-CAG(TILE Chromatic Aberration Grade),用于支持色差分类任务。在此基础上,改进分形编码网络(FENet)的网络结构,即引入空间金字塔池化(SPP)与SE(Squeeze-and-Excitation)模块,从而实现多任务特征提取与关键区域聚焦。然后,通过聚类算法自适应确定色差分级阈值,从而实现色差分级的客观量化。实验结果表明,所提改进方法在瓷砖纹理分类任务中的准确率达到92.82%,较FENet提升了1.84个百分点;在色差分级任务中所提方法的准确率、精确率、召回率和F1分数均超过90%。此外,还搭建了模拟生产流水线,以完成模型的工业部署与实时性测试。而所提方法在常见规格瓷砖上的平均检测时间低于3 s,满足工业传送带在线检测的实时性要求。展开更多
Image compression consists of two main parts: encoding and decoding. One of the important problems of the fractal theory is the long encoding implementation time, which hindered the acceptance of fractal image compres...Image compression consists of two main parts: encoding and decoding. One of the important problems of the fractal theory is the long encoding implementation time, which hindered the acceptance of fractal image compression as a practical method. The long encoding time results from the need to perform a large number of domain-range matches, the total encoding time is the product of the number of matches and the time to perform each match. In order to improve encoding speed, a hybrid method combining features extraction and self-organization network has been provided, which is based on the feature extraction approach the comparison pixels by pixels between the feature of range blocks and domains blocks. The efficiency of the new method was been proved by examples.展开更多
文摘针对瓷砖色差检测中传统方法依赖主观目测导致的结果不稳定问题,提出一种融合纹理与颜色特征的瓷砖色差量化与分级方法。构建包含纹理与颜色双标签的大规模瓷砖数据集TILE-TCR(TILE Texture and Color Recognition),以提升模型对纹理与颜色特征的表征能力;同时,构建色差分级数据集TILE-CAG(TILE Chromatic Aberration Grade),用于支持色差分类任务。在此基础上,改进分形编码网络(FENet)的网络结构,即引入空间金字塔池化(SPP)与SE(Squeeze-and-Excitation)模块,从而实现多任务特征提取与关键区域聚焦。然后,通过聚类算法自适应确定色差分级阈值,从而实现色差分级的客观量化。实验结果表明,所提改进方法在瓷砖纹理分类任务中的准确率达到92.82%,较FENet提升了1.84个百分点;在色差分级任务中所提方法的准确率、精确率、召回率和F1分数均超过90%。此外,还搭建了模拟生产流水线,以完成模型的工业部署与实时性测试。而所提方法在常见规格瓷砖上的平均检测时间低于3 s,满足工业传送带在线检测的实时性要求。
文摘Image compression consists of two main parts: encoding and decoding. One of the important problems of the fractal theory is the long encoding implementation time, which hindered the acceptance of fractal image compression as a practical method. The long encoding time results from the need to perform a large number of domain-range matches, the total encoding time is the product of the number of matches and the time to perform each match. In order to improve encoding speed, a hybrid method combining features extraction and self-organization network has been provided, which is based on the feature extraction approach the comparison pixels by pixels between the feature of range blocks and domains blocks. The efficiency of the new method was been proved by examples.
