本文將機(jī)器視覺(jué)與數(shù)字圖像處理技術(shù)引入到織物疵點(diǎn)檢測(cè)中，提出了一種織物疵點(diǎn)檢測(cè)算法——圖像距離差算法。該算法可使用戶根據(jù)織物的類(lèi)型，自行設(shè)置相應(yīng)的疵點(diǎn)檢測(cè)控制參數(shù)，能夠檢測(cè)出三十多種常見(jiàn)的疵點(diǎn)。實(shí)驗(yàn)證明該算法具有識(shí)別正確率高，識(shí)別速度快等優(yōu)點(diǎn)。
關(guān)鍵詞:疵點(diǎn)檢測(cè)，動(dòng)態(tài)閾值，二值化，圖像處理

Fabric Defect Detection Method Based on Image Distance Difference LU Yun1,2，ZHANG Jing-miao3，JIANG Jian-wei1 ?1．College of Information and Technology, Hebei University of Economics and Business，Shijiazhuang，050061； 2．College of Information science and engineering, Hebei University of Science and Technology, Shijiazhuang, 050054； 3．Computer Center, Hebei University of Economics and Business, Shijiazhuang, 050061) Abstract: By using machine vision and digital image processing technology to fabric defect detection, this paper brings forward a new method of detection of fabric defect, namely image distance difference arithmetic. The arithmetic permit user to set appropriate control parameter of fabric defect defection based on the type of the fabric. It can detect more than 30 kinds of common defects, and by experiments proved it has advantages of high identification correctness and fast inspection speed.
Keywords: fabric defect detection, dynamic threshold, two-valuezition, image measure