# The Algorithms of Image Processing and Analysis in the Textile Fabrics Abrasion Assessment
## 2 Related Works  
The abrasion resistance was evaluated using image analysis tools as well. The one publication from this region of interest is research work from the University of Bursa [16], which described a new method for abrasion resistance assessment of chenille yarn. The authors compared the test results obtained in a group of eight woven fabrics containing chenille yarn in their structure. The samples differed by their composition of the raw material of chenille yarn and its production process. Furthermore, the researchers elaborated the method for the determination of yarn abrasion resistance. As the main criterion in this assessment, the values of the indicator, based on differences between the yarn seen before and after the abrasion process, were established. The next step was a statistical analysis of results acquired from both methods for different test objects--yarns and woven fabrics. The analysis showed the existence of a linear correlation between the abrasion resistance of woven fabrics and the yarns these fabrics were made of. In research work done by [PERSON] et al. [17], the method of pilling and abrasion resistance dedicated to low mass polypropylene non-wovens was investigated. The method was based on image processing and analysis techniques; images of samples were subjected to thresholding. The threshold value was set experimentally, based on the loss of non-woven fabric mass during the abrasion test. The breakage criteria for the abrasion resistance test--the occurrence of the longitudinal entanglement of fibres on the fabric surface was not subjected to the instrumental method by the researchers because of difficulties in the precise recognition of this type of objects. The method of abrasion resistance presented by [PERSON] et al. [18] was based on changes in the brightness profile of sample images grabbed before and after the abrasion procedure. The subject of the investigation was a woven fabric with anti-wrinkling treatment. After the sample images were captured, the comparative assessment of their brightness profiles was undertaken. The researchers found that image profiles grabbed after the abrasion process were smoother, their lines were more aligned in comparison with profiles before abrasion. The brightness level alteration was primarily caused by colour changes of samples (loss of their colour fastness). The above presented test method, based on the brightness profiles of woven fabric samples, was also used in surface roughness analysis [19; 20]. In these publications, the influence of yarn properties on the final woven fabric surface roughness was investigated. Additionally, the influence of the structural parameters of woven fabric was analyzed. The surface roughness of woven fabric was defined as an absolute deviation of the height, measured for fibres protruding from the woven fabric's surface. Because of the fact that abrasion resistance has been a crucial factor during the assessment of newly developed textile structures, it was important to look for alternative, more objective measurement techniques in this field. Simultaneously, test methods for abrasion resistance based on image analysis techniques--presented in the subject literature--have been related to the narrow range of textiles, as well as the algorithms used in these methods. Consequently, a comparative analysis of the chosen algorithms was done, taking into account their capability and sensitivity to surface changes, which occurs during the abrasion process.