發(fā)布時間：2018-01-31 12:14

  本文關(guān)鍵詞： 紋理織物 形態(tài)學(xué) 跳步法 疵點(diǎn)檢測　出處：《紡織學(xué)報》2017年10期 　論文類型：期刊論文

【摘要】：針對紋理織物疵點(diǎn)自動檢測時因生產(chǎn)速度快造成的織物抖動以及檢測速度難以匹配問題,提出窗口跳步形態(tài)學(xué)法紋理織物疵點(diǎn)檢測算法。使用該算法對圖像進(jìn)行窗口分割及預(yù)處理后,首先對紋理織物圖像的紋理特征進(jìn)行分析,然后設(shè)計形態(tài)學(xué)算子進(jìn)行腐蝕操作,最后使用連通域分析來確定疵點(diǎn)大小及位置。仿真實(shí)驗(yàn)及工廠實(shí)際應(yīng)用表明,該算法可有效克服工業(yè)生產(chǎn)中紋理織物抖動造成的圖像明暗不均,可檢測出紋理織物中存在的破洞、經(jīng)緯疵點(diǎn)、污漬、斷線、折痕和結(jié)頭等各種疵點(diǎn),而且檢測速度明顯優(yōu)于快速傅里葉變換特征點(diǎn)算法以及傳統(tǒng)形態(tài)學(xué)檢測算法。實(shí)時檢測速度超過80 m/min,疵點(diǎn)檢測精度為0.1 mm,滿足實(shí)際生產(chǎn)需求。
[Abstract]:In order to solve the problem of fabric jitter caused by fast production speed and the difficulty of matching detection speed in automatic detection of texture fabric defects. A new algorithm of texture fabric defect detection based on window step morphology is proposed. After the image is segmented and preprocessed, the texture features of texture fabric image are analyzed. Then the morphology operator is designed to operate the corrosion. Finally, the size and position of the defects are determined by the connected domain analysis. The simulation experiment and the practical application of the factory show that. The algorithm can effectively overcome the uneven light and dark caused by the jitter of texture fabric in industrial production, and can detect all kinds of defects such as holes, warp and weft defects, stains, broken threads, creases and knots in textured fabrics. And the detection speed is obviously better than the fast Fourier transform feature point algorithm and the traditional morphological detection algorithm. The real-time detection speed is more than 80 m / min and the defect detection accuracy is 0.1 mm. Meet actual production requirements.
【作者單位】： 河北工業(yè)大學(xué)電子信息工程學(xué)院;天津市電子材料與器件重點(diǎn)實(shí)驗(yàn)室;北京市安視中電科技有限公司;
【基金】：中國博士后基金項目(2014M561053) 教育部人文社會科學(xué)研究規(guī)劃基金項目(15YJA630108) 河北省自然科學(xué)基金項目(F2013202254) 河北省研究生創(chuàng)新資助項目(CXZZSS207035)
【分類號】：TP391.41;TS101.97
【正文快照】： 當(dāng)前實(shí)際工業(yè)生產(chǎn)環(huán)境下,應(yīng)用于生產(chǎn)線的織物疵點(diǎn)檢測算法大都針對較簡單且不含紋理的圖像[1],例如文獻(xiàn)[2-3]分別提出了針對坯布和非織造布的疵點(diǎn)自動檢測算法,但這些算法難以檢測更為常見的紋理型織物疵點(diǎn)。目前,國內(nèi)外針對紋理織物的研究主要分為頻率域與空間域處理方法。1)，

本文編號：1479040