计算机应用与软件2026，Vol.43Issue(5)：265-272,295,9.DOI:10.3969/j.issn.1000-386x.2026.05.035
改进SSA的搪瓷盘表面瑕疵检测研究
IMPROVED SSA FOR ENAMEL PLATE SURFACE DEFECT DETECTION
摘要
Abstract
In order to realize the automatic detection of surface defects of enamel plates,a method of enamel plate defect detection based on small samples is proposed.A platform was built to acquire the enamel plate images.The images were processed and the RF algorithm was used to filter out the high-quality features as feature selection.The SSA(Salp Swarm Algorithm)was introduced to improve the algorithm and optimize the support vector machine and build the TSSA-SVM detection model.The experiments show that the TSSA-SVM detection model has better effectiveness and stability compared with other methods.The proposed method for detecting enamel disc defects provides a new solution to the surface defect detection problem of enamel discs.关键词
搪瓷盘/特征/樽海鞘群算法/支持向量机/检测模型Key words
Enameled discs/Features/Salp swarm algorithm/Support vector machine/Detection model分类
信息技术与安全科学引用本文复制引用
费正顺,黄坤,项新建,黄炳强..改进SSA的搪瓷盘表面瑕疵检测研究[J].计算机应用与软件,2026,43(5):265-272,295,9.基金项目
浙江省自然科学基金项目(LY19F030004) （LY19F030004）
浙江省重点研发计划项目(202206) （202206）
杭州市科技计划发展项目(202203B21). （202203B21）
