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作 者:张凤羽[1] 于伟东[1] 郑永红[1] 何勇[1]
机构地区:[1]东华大学纺织材料与技术实验室,上海201620
出 处:《纺织科技进展》2014年第2期61-65,73,共6页Progress in Textile Science & Technology
摘 要:根据鳞片轮廓的形态,建立求解鳞片翘角与厚度的数学模型,研究了鉴别澳毛与羊绒的可能性和准确性。通过对澳毛和羊绒鳞片翘角和厚度的统计、分布密度函数及其两类错误概率的分析,得出两类错误之和的误判率少于11.3%,为羊绒与澳毛混合体的鉴别提供了又一特征组合指标。Based on the outline form of the scales, mathematical model of scales angle and thickness was established. The possibili- ty and accuracy of identification of Australian wool and cashmere were studied. The misjudgment ratio of the sum of two errors was less than 11.3% by statistics of Australian wool and cashmere scales angle and thickness, analysis of the distribution density functions and probability analysis of two kinds of errors. Another identification indication of Australian wool and cashmere blending was provided.
分 类 号:TS102.31[轻工技术与工程—纺织工程]
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