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织物疵点自动检测方法研究进展 被引量:4

Research Progress on Automatic Detection Method of Fabric Defects
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摘要 介绍了织物疵点自动检测方法的研究现状,从结构、频谱、统计、基于模型、学习、混合和比较方法7个方面对织物疵点检测方法进行了分类,并以准确率、可靠性、计算成本、噪声敏感性等为考量指标对其进行了述评,同时对常见方法的优缺点进行了分析比较。 The research status of fabric defect detection method was introduced, and the fabric defect detection method was dividedinto seven categories: structure, spectrum, statistics, model-based, learning, mixing and comparison method. These methods werereviewed according to the indexes such as accuracy, reliability, computational cost and noise sensitivity. At the same time, the advan-tages and disadvantages of common methods were analyzed and compared.
机构地区 西安工程大学
出处 《纺织科技进展》 CAS 2017年第5期5-8,共4页 Progress in Textile Science & Technology
关键词 织物疵点 自动检测 方法类型 分析比较 fabric defect automatic detectiom method type analysis and comparison
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