纺织品制造商必须监控其产品的质量，以保持既定用于服装行业的高品质标准。因此，纺织品的质量控制是为他们的企业的竞争力的增加的关键因素。纺织断层，传统上被人类目测检测。然而，人的检查是耗时的，并且不实现精度较高的水平。因此，工业视觉单元是用于纺织工业的战略利益，因为他们可以组成一个系统实现高精度纺织检测高度的基础。这项工作说明专为简单的图像处理操作的基础上，验布，以及其在检测到通常的纺织品缺陷效率系统的软件核心。整个系统的先决条件是，然后解析​ ​ 所讨论的，以及由于该问题的本质上的限制和限制。软件算法和第一结果的评价也列于细节。-Textile manufacturers have to monitor the quality of their products in order to maintain the high-quality standards established for the clothing industry. Thus, textile quality control is a key factor for the increase of competitiveness of their companies. Textile faults have traditionally been detected by human visual inspection. However, human inspection is time consuming and does not achieve a high level of accuracy. Therefore, industrial vision units are of strategic interest for the textile industry as they could form the basis of a system achieving a high degree of accuracy on textile inspection. This work describes the software core of a system designed for fabric inspection on the basis of simple image-processing operations as well as its effi ciency on detection of usual textile defects. The prerequisites of the overall system are then discussed analytically, as well as the limitations and the restrictions imposed due to the nature of the problem. The software algorithm a