@inproceedings{e96d2d640d114dff8a6aac1efaa59778,
title = "A defect detection method based on sub-image statistical feature for texture surface",
abstract = "Aiming at automatic visual inspection of texture surface, a texture surface defect detection method is proposed based on statistical feature of subimage. The proposed method only uses a simple image feature, gray level difference of subimage without image enhancing to detect defects on texture surface directly, avoid the feature computation of high dimension space and the learning process of large numbers of defective and defect-free similar images, which is nonsupervised detection and improving algorithm efficiency. A variety of texture surfaces from industrial manufacture materials are chosen to conduct experiments. Detection time is about few seconds and accuracy is 93.6\%. Experiment results prove the proposed method can online detect various texture surface defects effectively.",
keywords = "Defect detection, Gray level difference of sub-image, Statistical feature, Texture surface",
author = "Xiaojun Wu and Huijiang Xiong and Peizhi Wen",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; 8th International Conference on Digital Image Processing, ICDIP 2016 ; Conference date: 20-05-2016 Through 23-05-2016",
year = "2016",
doi = "10.1117/12.2244917",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xudong Jiang and Falco, \{Charles M.\}",
booktitle = "Eighth International Conference on Digital Image Processing, ICDIP 2016",
address = "美国",
}