TY - JFULL AU - Ahmet Çay and Savvas Vassiliadis and Maria Rangoussi and Işık Tarakçıoğlu PY - 2007/3/ TI - On the Use of Image Processing Techniques for the Estimation of the Porosity of Textile Fabrics T2 - International Journal of Materials and Textile Engineering SP - 420 EP - 424 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/11309 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 2, 2007 N2 - This paper presents a novel approach to assessing textile porosity by the application of the image analysis techniques. The images of different types of sample fabrics, taken through a microscope when the fabric is placed over a constant light source,transfer the problem into the image analysis domain. Indeed, porosity can thus be expressed in terms of a brightness percentage index calculated on the digital microscope image. Furthermore, it is meaningful to compare the brightness percentage index with the air permeability and the tightness indices of each fabric type. We have experimentally shown that there exists an approximately linear relation between brightness percentage and air permeability indices. ER -