Treffer: 基于织物透光图像分析评价防钻绒性的方法.
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In order to test the down-proof performance of fabrics quickly, accurately and economically, a method for evaluating the down-proof performance based on fabric light grayscale images using digital image processing technology was proposed. Firstly, the light-transparent digital image of the fabric obtained by scanning was enlarged by Photoshop software to obtain the gray value of the brightest part of 3 - 5 large pores, and the average light transmittance was calculated to determine whether the fabric was physical down-proof or chemical down-proof. Then, the image of the physical down-proof fabric was processed according to the process M image import, threshold determination, binarization processing, morphological processing, connected domain mark, connected domain area calculation" by using MatLab software to obtain the macropore frequency distribution of the fabric. Compared with the ultimate pore distribution of the physical anti-velvet fabric, the anti-textile properties of the fabric are known. The verification results show that the evaluation method of down-proof test based on fabric light transmission image is accurate and feasible, and it is simple, fast and can save test materials. [ABSTRACT FROM AUTHOR]
为快速、准确、经济地测试织物的防钻绒性能，提出一种采用数字图像处理技术，基于织物透光灰度图 像的防钻绒性测试评价方法。利用 Photoshop 软件放大扫描所得织物的透光数字图像，获取3~5个较大孔隙最亮处的灰度值，通过计算平均透光率，判断织物属于物理防钻绒织物还是化学防钻绒织物；对于物理防绒织物运用MatLab 软件按流程图像导人-阈值确定->二值化处理-形态学处理-连通域标记-连通域面积计算对图像进行处理，得到织物的大孔隙频率分布，再与防钻绒织物的极限孔隙分布相比较，以确定织物的防钻绒性能。结果表明：基于织物透光图像的防钻绒性测试评价方法准确可行、简单快捷，而且能节约试验材料。 [ABSTRACT FROM AUTHOR]
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