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首页> 外文期刊>The Journal of the Textile Institute >Fabric defect delaminating detection based on visual saliency in HSV color space
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Fabric defect delaminating detection based on visual saliency in HSV color space

机译：HSV颜色空间中基于视觉显着性的织物疵点分层检测

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摘要

Due to a large variety of fabric defects, the traditional detection method is difficult to meet the needs of dynamic detection that include all kind of defects. In order to enhance the effect of fabric defects detection, this paper proposed a dynamic delaminating detection method that fabric defects in the HSV color space are detected according to the fabric defect saliency. The idea is simulating the human visual system, and gradually enhancing the saliency of fabric defects through the data-driving. By the way, different types of defects are highlighted in different layers. At the same time, some task factors are used to drive form detection interest region in each layer. Then all kinds of defects are delaminated detection by setting a threshold in different layers. Experiments show that the proposed algorithm can accurately detect all kinds of defects, and have a strong universality for various types of defect detection. It can provide a possibility for the realization of fabric defects automatic detection.
机译：由于织物缺陷种类繁多，传统的检测方法难以满足包括各种缺陷的动态检测的需求。为了提高织物缺陷检测的效果，提出了一种动态分层检测方法，根据织物缺陷的显着性检测HSV色彩空间中的织物缺陷。这个想法是模拟人类的视觉系统，并通过数据驱动逐步提高织物缺陷的显着性。顺便说一下，不同类型的缺陷会在不同的层中突出显示。同时，一些任务因素用于驱动每一层中的表单检测兴趣区域。然后，通过在不同层中设置阈值来对各种缺陷进行分层检测。实验表明，该算法能够准确地检测出各种缺陷，对于各种类型的缺陷检测具有很强的通用性。为实现织物疵点自动检测提供了可能。

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