Detection of Fabric Defects with Fuzzy Label Co-occurrence Matrix Set

Co-occurrence matrices have been successfully applied in texture classification and segmentation.However,they have poor computation performance in real-time application.In this paper,the efficient co-occurrence matrix solution for defect detection is focused on,and a method of Fuzzy Label Co-occurrence Matrix (FLCM) set is proposed.In this method,all gray levels are supposed to subject to some fuzzy sets called fuzzy tonal sets and three defective features are defined.Features of FLCM set with various param...     

新型三联季铵盐表面活性剂的合成与性能研究

本文合成了一种三聚阳离子表面活性剂—三(2-氯化十二烷基二甲铵基乙基)胺(TCDAEA)。以三乙醇胺、氯化亚砜为原料,经分子内亲核取代合成了中间体三(2-氯乙基)胺并通过乙酰化法测定其转化率;然后以三(2-氯乙基)胺与N,N-二甲基十二烷基叔胺经季铵化反应合成了TCDAEA。并通过单因素条件实验考察了催化剂质量分数、反应温度、反应时间、溶剂质量分数、N,N-二甲基十二烷基叔胺与三(2-氯乙基)胺物质的量比等因素对产品产率的影响及其对产品溶液表面张力的影响。结果表明：当氢氧化钾质量分数为0.3%、nN,N-二甲基十二烷基叔胺：n三(2-氯乙基)胺=3.9、溶剂质量分数为20%、反应温度为80℃、反应时间为6h时,产品收率可达96.56%;在上述条件基础上,在25℃、临界胶束浓度为4.2?0-4mol/L时,产品溶液的表面张力降低至25.2mN/m。此外,用FT-IR方法对中间体和产物TCDAEA进行了分析表征,研究表明,TCDAEA是一种新型的三聚季铵盐阳离子表面活性剂,具有更高的表面活性。