提花织物疵点检测

Henry Y. T. Ngan, G. Pang, S. Yung, M. K. Ng
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引用次数: 36

摘要

目前,平纹织物疵点检测技术已经得到了很好的发展。本文研究了图案织物疵点的目视检测方法。综述了目前常用的花型织物疵点检测方法。然后,介绍了一种新的图案织物检测方法——黄金图像减法(GIS)。GIS是一种高效、快速的方法,可以有效地分割出图案织物上的缺陷区域。本文还提出了一种基于小波变换的改进的GIS方法。本研究成果有助于纺织工业自动化织物检测机的开发。
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Defect detection on patterned jacquard fabric
The techniques for defect detection on plain (unpatterned) fabrics have been well developed nowadays. This paper is on developing visual inspection methods for defect detection on patterned fabrics. A review on some defect detection methods on patterned fabrics is given. Then, a new method for patterned fabric inspection called Golden Image Subtraction (GIS) is introduced. GIS is an efficient and fast method, which can segment out the defective regions on patterned fabric effectively. An improved version of the GIS method using wavelet transform is also given. This research results contribute to the development of an automated fabric inspection machine for the textile industry.
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