东华大学学报（自然科学版）
東華大學學報（自然科學版）
동화대학학보（자연과학판）
JOURNAL OF DONGHUA UNIVERSITY(NATURAL SCIENCE)
2009年
6期
691-698
,共8页
横档类疵点%灰度共生矩阵%最小中值平方估计%稳健马氏距离
橫檔類疵點%灰度共生矩陣%最小中值平方估計%穩健馬氏距離
횡당류자점%회도공생구진%최소중치평방고계%은건마씨거리
filling bar%grey-level co-occurrence matrix%estimation of least median squares%robust Mahalanobis distance
在分析横档类疵点纹理特点的基础上,提取织物纹理图像的灰度共生矩阵单特征值--对比度.利用最小中值平方估计的快速算法,获得正常织物纹理训练样本的稳健马氏距离,并应用契比晓夫不等式确定在一定置信度条件下判断待检织物为疵点的马氏距离的阈值.对8种不同纹理结构、织物密度和纱线线密度的织物进行了横档类疵点的检测,在90%置信度下,可检出90%以上的横档类疵点,误检率为3.28%,检测效果较好.
在分析橫檔類疵點紋理特點的基礎上,提取織物紋理圖像的灰度共生矩陣單特徵值--對比度.利用最小中值平方估計的快速算法,穫得正常織物紋理訓練樣本的穩健馬氏距離,併應用契比曉伕不等式確定在一定置信度條件下判斷待檢織物為疵點的馬氏距離的閾值.對8種不同紋理結構、織物密度和紗線線密度的織物進行瞭橫檔類疵點的檢測,在90%置信度下,可檢齣90%以上的橫檔類疵點,誤檢率為3.28%,檢測效果較好.
재분석횡당류자점문리특점적기출상,제취직물문리도상적회도공생구진단특정치--대비도.이용최소중치평방고계적쾌속산법,획득정상직물문리훈련양본적은건마씨거리,병응용계비효부불등식학정재일정치신도조건하판단대검직물위자점적마씨거리적역치.대8충불동문리결구、직물밀도화사선선밀도적직물진행료횡당류자점적검측,재90%치신도하,가검출90%이상적횡당류자점,오검솔위3.28%,검측효과교호.
Based on the analysis of textural characteristic of filling bar defect of woven fabric, the feature value of grey-level co-occurrence matrix was extracted from the fabric images. Then the robust Mahalanobis distances of training samples with normal texture were calculated by using the fast algorithm for the estimation of least median squares. The threshold value of Mahalanobis distance was set up for detecting the defect with Chebyshev inequality under certain confidence level. Eight fabrics with different fabric texture, fabric count and yarn count were detected and the results were satisfied. More than 90% of filling bar defect can be found out, and the misdetection rate was only 3. 28% under 90% confidence level.
